The Fabric of Task Episodes Ausaf A Farooqui1, Tom Manly1 Abstract Behavior is executed through extended tasks (‘preparing breakfast’). What makes the multitude of actions occurring within a task episode parts of one entity and not a series of independent actions? Participants executed trials on which they could either choose the smaller of the two numbers or the smaller font depending on the stimulus margin color. They were biased into construing a recurring instance of three or five trials as a higher task episode. Results suggested that the otherwise independent trials constituting the construed task episode got executed through a subsuming episodic routine that was assembled at the beginning of the episode: RT on trial 1 of the task was the highest and was higher before longer tasks, and the rule switch cost was absent specifically between consecutive trials that occurred across presumed task episode boundaries. Plausibly, instead of generating the cognitive state related to the construed task episode de novo at every step, cognition assembled a routine that would automatically unfold into the sequence of these states across time in much the same way it generates sequence of motor actions through motor programs. Notably, because these states were related to the construed task episode and not to its constituent trials the presence of the subsuming routine was not affected by the lack of foreknowledge about the sequence, identity and even the number 1 MRC-Cognition & Brain Sciences Unit, 15 Chaucer Road, Cambridge, UKThis work was funded by Medical Research Council, UK: MC-A060-5PQ20 1 of constituent trials. Instead, it occurred every time a group of trials was construed as forming a higher task. Word count: 11076 1. Introduction The studies presented here examined the cognitive underpinnings of task episodes. By task episode we mean an extended and defined period of purposive behavior construed as a single task entity. Here while participants engaged in continuous trials of an experimental session, task-irrelevant cues were used to bias them towards viewing each recurring instance of three or five trials as a task2. This method allowed us to study factors related to starting task episodes without confounding them with factors pertaining to task rules, working memory, attention, action selection etc. 2 While we use the phrase ‘task episode’ in this paper, we do not insist that in the behavioral hierarchy these are tasks as opposed to subtasks of a larger task. Our concern is that irrespective of the hierarchical level, the sequence of trials be construed as a single task entity. 2 Most goal-directed behavior is executed through task episodes – we prepare tea, take a bath, write emails, play games, and not individually execute the very many component action units. While task identities through which we execute our behavior are frequently episodic and extended in time, it is not clear in what sense is the segment of behavior corresponding to an extended task like preparing breakfast one entity, and not a series of independent actions. In fact the very notion of task may appear arbitrary (Vallacher & Wegner, 1989). Breakfast, after all, can be prepared as one (‘prepare breakfast’), two (‘prepare tea’ and ‘prepare toast’) or four tasks (‘boil water’, ‘brew tea’, ‘toast bread’, ‘spread butter), or even as a subtask of a larger task (‘morning routine’). Many existing accounts of goal directed behavior have suggested constructs like plans, frames, schema 3 and scripts that correspond to hierarchically organized knowledge about stereotypical task situations (Miller, Galanter & Pribram, 1960; Minsky, 1975; Schank & Abelson, 1977; Broadbent, 1977; Norman & Shallice, 1986; Shallice & Cooper, 2011). For example, a script about restaurant could be ‘find a seat’, ‘read the menu’, ‘order food’; each of which may have their own subscripts. Hierarchical nature of the recall and instantiation of such hierarchical mnemonic entities may create the hierarchical organization of behavior into task and subtasks (e.g. Bower, 1970; Newell & Simon, 1972). This is conceptually supported by the presence of signs of hierarchical cognition in task situations where the knowledge of the behavioral sequence to follow is represented hierarchically e.g. motor sequence (Rosenbaum, Kenny & Derr, 1983), task sequence 4 (Schneider & Logan, 2006), events (Zacks & Tversky, 2001), chunks (Gobet & Simon, 1998). During the execution of behavior this knowledge gets retrieved hierarchically to construct routines that specify the identity and sequence of steps across time. In this paper we use the term routine for situations where extended behavior is selected and instantiated as a single entity preassembled and gets structure executed that through translates into a the relevant sequence across time (e.g. Henry & Rogers, 1960; Rosenbaum et al. 1983; Sternberg, Knoll & Turock, 1990; Schneider & Logan, 2006). The structure is hierarchical in that it consists of a sequence of component acts, and the resulting cognition is hierarchical and episodic in that it consists of a defined episode subsumed by the routine structure. 5 Hence, if a memorized chunk of motor or task items is to be executed (akin for example to playing a sequence of notes on piano or executing a memorized list of task items) or recalled the entire sequence is instantiated as a single routine that will specify the identity and sequence of motor or task acts across time (Rosenbaum, Kenny, & Derr, 1983; De Jong, 1995; Anderson & Matessa, 1997; Anderson et al. 1998; Kahana & Jacobs, 2000; Luria & Meiran, 2003; Lien & Ruthruff, 2004; Schneider & Logan, 2006). This creates specific behavioral signatures. It takes longer to execute item marking the beginning of the routine than subsequent items. Hence, when participants execute out a memorized sequence of task items (e.g. AABB, where A and B were color and shape judgements), the reaction time is the longest for the first item (Lien & Ruthruff, 2004; Schneider & Logan, 2006). The time to initiate the routine frequently correlates with the 6 length and complexity of the sequence (preparation effect) because the routine corresponding to the entire sequence is preassembled prior to its execution, and longer/more complex routines may take longer to assemble (Henry & Rogers, 1960; Sternberg, Monsell, Knoll, & Wright, 1978; Luria & Meiran, 2003); e.g. it takes longer to begin speaking bisyllabic than monosyllabic words (Klapp et al. 1973), task sequences with greater number of item level task switches (e.g. ABBA: two switches i.e. ABBA) take longer to begin than those with lesser switches (e.g. AABB, single switch; Schneider & Logan, 2006; Desrochers et al. 2015). Thirdly, the long step 1 RT is seen even when the same sequence is repeatedly iterated because the routine structure has to be instantiated for every execution of the sequence, suggesting that the routine 7 is not a detached plan that exists separate from the executing machinery. Instead, the routine structure may be better seen as the set of commands that will go on to create the relevant sequence and dismantle in the process of execution, hence, has to be reassembled for the next iteration. Lastly, the benefit of repeating a constituent act consecutively is seen only within a routine and not across routines, because the dismantling and/or assembly of routines at sequence boundaries removes the cognitive trace pertaining to individual acts subsumed by the routine (Lien & Ruthruff, 2004; Schneider & Logan, 2006, 2007, 2015). These characterized and other hierarchical empirical execution studies of have tasks in situations where the identity and sequence of task items to be executed across time is known and the knowledge is hierarchically organized. Using this 8 knowledge the entire sequence is prepared for in one go and executed as a single routine that specifies the identity and sequence of component steps, with the purported hierarchical organization of the sequence knowledge determining what all gets executed as parts of the same routine (e.g. Schneider & Logan, 2015). Thus, a memorized chunk of motor acts is executed through a motor routine that creates the sequence of motor components across time (e.g. Rosenbaum et al. 1983), and a memorized sequence of task items is executed through a routine that creates the sequence of item specific cognitive configurations that will allow selection of relevant motor actions (e.g. Schneider & Logan, 2006). Here we suggest that the principle of routinized execution may be far more ubiquitous in cognition than suggested by past experiments, and may occur whenever ensuing behavioral episode gets construed 9 as a task entity, regardless of the presence of hierarchical representations in memory or the predictability of its component steps. 1.1 Task Episodes as Abstract Cognitive Routines When my task is to edit an unfamiliar page of writing, the decision corresponding to the higher level task episode (‘edit paper’) is made only at the beginning but the series of cognitive states generated by that decision and the resulting task context continues across time to inform, constrain and control various aspects of my subsequent cognition and behavior and keeps them in line with the ongoing task; e.g. the context created by these states keeps my eye movements and thoughts from wandering too much in a task irrelevant way, it maintains the knowledge required for editing on my mental foreground, and ensures that of the numerous tasks possible in my 10 physical environment I continue to follow the one determined by the task episode I am already in. I therefore continue reading with the intent of editing the text. Likewise when I enter an unfamiliar kitchen to prepare breakfast from whatever is available, I may not know what all task items I will be executing, but I do know what task episode I will be executing. This task episodic context will determine where I look, how I look, what kind of decisions I make, how I act, the sequence of my decisions and actions, the kind of knowledge I keep in my mental foreground and change it across time etc. Again the chain of cognitive states following from my decision to prepare breakfast continue across time effortlessly forming the subsuming template for all other cognitive activities during the episode till its completion. 11 In both these examples the sequence of task items, steps or even subgoals was not known beforehand nor was it predetermined by a common representation, and depending on the task scenario and creativity, could have taken many forms, including those never previously encountered by the doer. Nonetheless, every step of the sequence was executed through the higher level cognitive states related to the main task, and in this sense the multitude of actions during the episode were parts of the same task. My boiling of water and spreading butter on toast were subsumed by my intention to prepare breakfast. Key features of task episodes suggest that the series of cognitive states related to the main task and subsuming the execution of behavior may be instantiated as a single routine, even when the component items and actions executed during the period are not predictable. First, as illustrated in above 12 examples this series of cognitive states seems to be generated by a single act - the decision to execute any extended task (editing the paper or preparing the breakfast) is made once. Once initiated, subsequent execution occurs through the chain of events generated by that first act. The doer may have to deliberate about the execution of a particular lower level step, but she does not deliberate upon what task episode she is executing, unless she gets distracted. And the distraction proves the point. Now the doer has to rethink what task episode she was in and where she was at within the episode, suggesting that the distraction broke some chain of thought, i.e. the series of cognitive states that had ensued from the act that began the episode got interrupted and another task episode level decision had to be made. Second, the cognitive context that decides upon and controls any individual step would have to be 13 simultaneously related to the goal of the task episode, the current behavioral/cognitive state and how to achieve the goal from that state. Consequently, generating the relevant higher level cognitive state de novo at each step would be slow and effortful. Cognition may solve this problem of sequential organization by instantiating the entire sequence of states as a single routine (e.g. Dezfouli et al. 2014). 1.2 Current Study We speculated that to the extent any extended purpose is conceived as a task episode it will be executed through an episodic routine that will 14 instantiate the series of episode related cognitive states3 subsuming the period of execution, irrespective of the predictability of the task and motor content of the episode. Because these cognitive states are related to the task identity the doer construes she is executing (e.g. ‘preparing breakfast’), the episodic routine instantiating these states will follow the contours of the task episode as construed by the doer. Signs of routines and consequent hierarchical organization of cognition seen previously during the execution of memorized motor acts and task lists will therefore be seen whenever an arbitrary segment of ongoing behavior is construed as a task episode. Participants executed trials on which one of two task items could be executed depending on the outer margin color of the stimulus (blue: choose the lower 3 It may be argued that the higher level is not a series of cognitive states but a single state that spreads across time. This does not affect the crux of the argument the series of states or a single state spreading across time seems to get generated by a single, higher level act. We prefer the construct of ‘series of states’ because the neural activities and pattern of neuronal configurations do not remain constant across task periods but change continuously across time (Sigala et al. 2009; Stokes et al. 2015) 15 value between the two numbers; green: choose the smaller font). The task item to be executed on any trial was not known beforehand, and the probability of it being repeated or switched across successive trials was the same. Across different experiments a variety of means was used to bias subjects into conceiving a sequence of consecutive trials (or a period of time) as a defined task episodic unit. These included having to additionally count trials in threes (1-2-3) or fives (1-2-34-5; experiments 1 and 6), temporal grouping of trials along with an irrelevant countdown (experiments 2, 3 and 4), and the presence of an irrelevant outer margin that stayed on for extended epochs of time and framed the execution of extended series of trials (experiment 5). If trials of such construed tasks were executed through a single subsuming episodic routine assembled 16 at the beginning of the episode then RT will be highest at trial 1 (because of the additional time needed to assemble the routine), and longer episode will have even higher trial 1 RT (because of the need to assemble longer routines). Further, switch cost between consecutive trials will only be present within an episode and not across episode boundaries because trial related configurations will be ensconced within the episodic configurations and hence will get dismantled at episode boundaries leaving no advantage for repeating the consecutive trials Importantly, these same task across signs will rule operation episode appear on boundaries. every time subjects conceive of their behavior corresponding to the series of trials as a task episode. 17 2.1 Experiment 1 2.1.1 Methods 18 Figure 1. Trial blocks began with the instruction screen stating whether trials are to be executed in steps of 3 or 5. Subsequent trials were to be executed while keeping a covert count (e.g. steps of 3: 1-2-3-1-2-3…). Trial rule was cued by the color of the outer margins – blue: choose the smaller value, green: choose the smaller font. The block would end with a ‘?’, to which participants keyed in the number of the step just executed. Figure 1 shows the scheme of this experiment. Participants were asked to keep a covert count of trials in 3s (1-2-3-1-2-3) or 5s (1-2-3-4-5-1-2-3-4-5) depending on an onscreen ‘steps of 3’ or ‘steps of 5’ instruction at the beginning of each block of 6-35 trials. This screen 19 remained until participants pressed the spacebar. On each trial two numbers differing in value (between 0 to 99) and font size (Arial font 60 or 20) were displayed on each side of the fixation cross. A margin box appeared around, and at the same time as, each number display. Margin color determined the rule relevant on that trial - blue: choose the smaller value, green: choose the smaller font. Participants’ decisions were conveyed via presses on buttons that were spatially congruent with the correct onscreen number (Numpad 1 for left and Numpad 2 for right on a standard QWERTY keyboard number pad). The stimuli remained onscreen until a response was made, and was followed by the next trial after 1 s. To check whether participants were keeping an accurate 3 or 5-trial count, a probe (“?”) appeared at the end of the block of 6-35 trials. Participants were 20 asked to key in the step number that they had just executed before the probe appeared (e.g. if the probe appeared after 7 trials, the correct response in a 5-trial episode block would be 1 (1-2-3-1-2-3-1). Feedback was given on the accuracy of probe responses (high pitch tone for correct, low pitch tone for incorrect). This and subsequent experiments were created in Visual Basic and run on a Dell computer with an 85 Hz refresh rate monitor kept at a comfortable distance from the participant. Procedure: The experiment was conducted on an individual basis in a testing room designed to minimize visual and noise distraction. Participants were first given 7 trials of practice on each of the two operations (value and font judgments). They then completed a 30-trial practice block in which the stimulus margin changed 21 its color randomly signaling the currently relevant rule. They were then told to execute trials while keeping a count in threes. They practiced on two such blocks before proceeding on to the main experimental session. Participants completed 70-120 blocks each consisting of 6-35 trials with 3- and 5-step blocks being randomly interlaced. In all practice and subsequent trials participants were asked to respond as quickly and as accurately as possible. Participants: Fifteen healthy participants (9 females) were recruited through MRC-CBU volunteers’ panel (age 18 to 40 years). They gave written, informed consent before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 22 2.1.2 Results: Figure 2. Pattern of reaction times across the steps of the 5 and 3 step episodes (continuous line bars: rule switch trials, dashed line bars: rule repeat trials). Note that trial 1 had the highest RT for both switch and repeat trials in both 5 and 3 step episodes. Table 1. Mean reaction times (ms) and accuracies (%) across rule switch and repeat trials of 3 and 5 step episodes. Response Time Accuracy Effect dfs F MSE p F MSE p Serial Position (3 step) 2,28 37.9 196781 <0.001 1.55 0.001 0.23 23 Response Time Accuracy Effect dfs F MSE p F MSE p Rule Switch (3 step) 1,14 32.3 255789 <0.001 9.86 0.11 <0.01 Rule Switch x Serial Position (3 step) 2,28 18.7 22258 <0.001 0.52 0.001 0.6 Serial Position (5 step) 4,56 46.9 317819 <0.001 3.07 0.002 0.02 Rule Switch (5 step) 1,14 26.0 256207 <0.001 12.4 0.012 <0.01 Rule Switch x Serial Position(5 step) 4,56 5.7 9956 0.001 1.76 0.002 0.15 Serial Position x Episode length 2,28 24.2 39053 <0.001 1.5 0.001 0.25 Table 2. Serial Position: Repeated measures ANOVA looking at the main effect of the position of trial within the episode on RT and accuracy. Rule Switch: Main effect of rule switch (Switch vs Repeat trials). Serial Position x Rule Switch: Interaction between the effects of rule switch and serial position. Serial Position x Episode length: Effect of serial position compared across 3 step and the first three trials of 5 step episodes. Figure 2 and tables 1 and 2 summarize the main results. As is evident, these concur with the key predictions: trial 1 RT be the longest, trial 1 RT for 5 trial episodes > 3 trial episodes, and switch cost be 24 absent at trial 1. The first trial of the conceived episode did take longest to execute (table 1, and main effect of serial position in table 2). Cohen’s d (effect size: mean difference/standard deviation) was 1.68 and 1.99 for 3 and 5 trial episodes respectively. This trial 1 RT was higher for 5-trial compared to 3-trial episodes (95% CI of difference = [46, 113], table 1 and interaction between serial position and episode length in table 2, Cohen’s d = 1.3). While the performance on switch trials was poorer than on repeat trials (table 2, main effect of rule switch), this effect of rule switch differed across the serial positions within the episode (table 2: Rule Switch x Serial Position). Specifically, as predicted it was absent at trial 1 (RT: paired t 14 = 1.05, p=0.3, 95% CI of difference = [-19, 54]; Accuracy: paired t 14 = 1.1, p =0.3, 95% CI of difference = [-0.02, 0.01]). 25 An interesting dissociation was that while elevated RTs on switch-trials were accompanied by the expected reduced accuracy (compared with repeat-trials), the elevated RTs on the first trial of a task episode was, if anything, associated with greater accuracy on those trials. This was the case even though RT on switch trials was slower only by 92 ms compared to the difference of 250 ms between trial 1 and subsequent trials. This is to be expected because trial 1 response got delayed because the episodic routine had to be assembled prior to the execution of trial 1, and not because of additional control demands related to the task item execution. In the next experiment we sought to replicate the basic findings of Experiment 1 using a different design and to test another key prediction. The episodic routine account claims that the entire sequence of the higher 26 task related cognitive states through which individual trials would be executed are prospectively prepared for at the beginning of the episode and subsequently get instantiated automatically across the episode. In contrast, when trials are executed as independent tasks and not as parts of an extended task then task related cognitive states would be individually instantiated before the execution of each trial. This would predict faster execution of trials executed as parts of a task episode (because the task related cognitive state through which they will be executed is already prepared for) than identical trials executed as independent tasks. Obviously, the RT benefit for trials executed as part of a task would be apparent only on trial 2 and beyond, because trial 1 RT additionally includes the time taken in assembling the routine. 2.2 Experiment 2 27 Here we used a different method to bias participants’ conception of what constituted a task. Series of 3 or 5 consecutive trials were grouped together into chunks by having relatively small intertrial durations between them, while these chunks were separated from each other by discernibly larger durations (Figure 3). This was further reinforced by a faded number in the stimulus background that conveyed the number of steps left in the current episode. The first trial of the 3-trial chunk had the digit ‘3’ in the background, while the second trial had ‘2’ and the third had ‘1’. Likewise in 5-trial chunks this background digit changed 5-4-3-2-1, across its 5 trials. Note that the participants did not have to construe the every 3 or 5 trials as a higher task. Trials (and by extension the experiment) could be executed perfectly well without construing the series of trials as a task episode. 28 Apart from blocks composed of 3 and 5 trial episodes there was a third block type whose trials were not organized into chunks and were instead presented as one flat sequence. Such trials had the digit ‘1’ in the stimulus background. We assumed that each trial of this block type will be regarded as independent of each other and will be executed as an independent task, in contrast to trials of 3 or 5 trial episodes which will be executed as parts of a higher task. 2.2.1 Methods: Figure 3. Trial rules were the same as in Experiment 1. There were three kinds of trial blocks. (a) 3 trial episodes were created by having small inter-trial intervals within the episode and large inter-trial intervals across episode boundaries. This was further reinforced by the faded digit in the background that went from 3-2-1 across the 3 trials making up the episode. (b) 5 trial episodes were similar to the 3 step episodes other than consisting of 5 trials. (c) Trials of the independent trial blocks were presented in a flat sequence with constant inter-trial interval and had the digit ‘1’ in their background that remained the same throughout the block. 29 Stimuli and trial rules were identical to experiment 1 (Figure 3). Before 3 and 5 step task blocks participants saw ‘3 Step Tasks’ and ‘5 Step Tasks’ respectively, onscreen till spacebar was pressed. In such blocks 3 or 5 successive trials were temporally grouped together with smaller inter-trial durations (500 ms) within the chunk and longer inter-trial durations (2 s) between successive chunks. In addition, the first trial of 3 trial chunks had a faded ‘3’ in the stimulus background, the second trial had a ‘2’ and the third had ‘1’; likewise for 5 trial chunks (5-4-3-2-1). Before the independent trial block participants saw “Independent Trials”, and the individual trials of this block had the number ‘1’ in the stimulus background. Inter-trial interval in these blocks was 500 ms. The 3and 5-trial task blocks had 48 and 80 trials respectively, and the independent trial blocks had 30 30 trials. The order of the three block types was random. Participants did a total of 85 – 100 blocks. Participants first did a practice block of 50 trials. These were presented as a flat sequence (iti = 500 ms). They then proceeded to the main experiment. They were not informed about the temporal grouping of the trials in the main experiment, and were just asked to ignore the faded number in the stimulus background. Testing conditions were same as for Experiment 1. Participants Eighteen healthy participants (11 females) were recruited through MRC-CBU volunteers’ panel (age 18 to 40 years). They gave written, informed consent before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 31 2.2.2 Results Figure 4. Pattern of reaction times across the steps of the 5 and 3 step episodes (continuous line bars: rule switch trials, dashed line bars: rule repeat trials). Independent dashed and dotted lines represent the switch and repeat trial RTs in the independent trial blocks. Note that these are higher than switch and repeat trial RTs of both 3 and 5 step episodes. 32 Table 3. Mean reaction times (ms) and accuracies (%) across rule switch and repeat trials of 3 and 5 step episodes, and of independent trial blocks. Response Time Effect dfs F Serial Position (3 step) 2,34 29.6 Rule Switch (3 step) 1,17 Rule Switch x Serial Position (3 step) Accuracy MSE p F MSE p 419633 <0.001 0.44 0.001 0.6 43.2 440396 <0.001 0.9 0.001 0.3 2,34 14.2 55634 <0.001 4.02 0.003 0.02 Serial Position (5 step) 4,68 31.5 199388 <0.001 1.3 0.001 0.3 Rule Switch(5 step) 1,17 39.5 758310 <0.001 9.4 0.01 <0.01 33 Response Time Accuracy Effect dfs F MSE p F MSE p Rule Switch x Serial Position(5 step) 4,68 13.9 37673 <0.001 1.4 0.001 0.2 Serial Position x Episode length 2,34 0.324 1013 0.7 1.5 0.001 0.25 Table 4. Serial Position: Repeated measures ANOVA looking at the main effect of the position of trial within the episode on RT and accuracy. Rule Switch: Main effect of rule switch (Switch vs Repeat trials). Serial Position x Rule Switch: Interaction between the effects of rule switch and serial position. Serial Position x Episode length: Effect of serial position compared across 3 step and the first three trials of 5 step episodes. Figure 4, tables 3 and 4 summarize the key results. The first trial of the 3 and 5 trial episodes took longest to execute (Cohen’s d: 1.3 and 1.6; table 3, and main effect of serial position in table 4). While there was a main effect of rule switch on performance (main effect of rule switch in table 4), the effect varied across serial positions (table 4: Rule Switch x Serial Position). Specifically, as in the previous experiment it was absent on trial 1 (RT: paired t17 = 1.7, p=0.1, 95% CI of 34 difference = [-8, 71]; Accuracy: paired t 17 = 0.8, p =0.4, 95% CI of difference = [-0.01, 0.02]). Unlike the previous experiment, the trial 1 RT for 5 step episodes was not higher than 3 step episodes (95% CI of difference = [-39, 59]; table 4 interaction between serial position and episode length, Cohen’s d = 0.1). Lastly, as in the previous experiment the strong difference in RT between the first and subsequent steps was not accompanied by changes in accuracy (table 3, and main effect of serial position on accuracy in table 4). Trials conceived as parts of a task episode were executed faster than trials conceived as independent tasks. The dashed and dotted lines in Figure 4 mark the RTs on rule switch and repeat trials in the independent trial blocks. As is evident these were higher than RTs on trials 2 and beyond of task episodes (t17 > 5.5, p < 0.001; Cohen’s d > 1.61). Accuracies 35 however were not significantly different (table 3). This control benefit also extended to switch control. Reaction time switch cost amongst independent trials was greater than that amongst trials executed as parts of task episodes (176 vs 128 ms; t17 = 2.1, p = 0.06, CI of difference = [-1, 96], Cohen’s d = 0.49). Note that in this analysis we excluded trial 1 which showed no switch cost. Thus, organization of trials into larger task episodes created a slower trial 1 but faster execution of subsequent trials. Was the price paid at trial 1 offset by gains at subsequent steps? We compared average RT and accuracy between blocks organized into task episodes with those that were not. Average RT on 3 and 5 trial task blocks was still significantly lower than on the independent trial blocks (t 17 > 4.1, p < 0.001, Cohen’s d = 0.82). Accuracy measures, however, were not different across them. 36 These results suggested that the episodic routine structures assembled at trial 1, that resulted in higher trial 1 RT were indeed prospectively related to the execution and control of the rest of the trials making up the episode, and hence trials executed through them were better controlled than trials executed as independent tasks. These results also showed that the presence of episodic routine did not decrease the limited capacity cognitive reserves available for the execution and control of its component trials. Experiment 2 did not show increased RT at the beginning of 5- compared with 3-trial task episodes. A possible reason could have been that in the current design the same conceived task episode was repeated across the block, hence participants did not have to organize their cognition actively enough for the small temporal difference in initiating 5 and 3 trial tasks to be evident. 37 2.3 Experiment 3 The design was identical to experiment 2 except that both 3 and 5 trial task episodes would now occur randomly in the same block. 2.3.1 Methods Identical to Experiment 2. The experimental session lasted half an hour during which participants did an average of 250 task episodes, which consisted of 38 roughly equal number of 3 and 5 step episodes in a random order. Participants 22 healthy participants (11 females) were recruited through MRC-CBU volunteers’panel (age 18 to 40 years). They gave written, informed consent before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 2.3.2 Results 39 Table 5. Mean reaction times (ms) and accuracies (%) across rule switch and repeat trials of 3 and 5 step episodes, and of independent trial blocks. Response Time Effect dfs F MSE Accuracy p F MSE p 40 Response Time Accuracy Effect dfs F MSE p F MSE p Rule Switch (3 step) 1,21 39.7 577148 <0.001 2.2 27.1 0.15 Rule Switch x Serial Position (3 step) 2,42 11.1 93740 <0.001 2.3 13.0 0.11 Serial Position (5 step) 4,84 23.5 697698 <0.001 2.5 9.9 0.05 Rule Switch (5 step) 1.21 43.1 1273614 <0.001 6.2 48.8 0.02 Rule Switch x Serial Position (5 step) 4,84 12.4 51311 <0.001 1.9 7 0.12 Serial Position x Episode length 2,42 11.1 35336 <0.001 0.09 0.39 0.9 Table 6. Serial Position: Repeated measures ANOVA looking at the main effect of the position of trial within the episode on RT and accuracy. Rule Switch: Main effect of rule switch (Switch vs Repeat trials). Serial Position x Rule Switch: Interaction between the effects of rule switch and serial position. Serial Position x Episode length: Effect of serial position compared across 3 step and the first three trials of 5 step episodes. Tables 5 and 6 summarize the key results. Notably, the trial 1 RT was higher for 5 trial compared to 3 trial episodes (table 5 and table 6, interaction between serial position and episode length, 95% CI of difference 41 = [15, 96], Cohen’s d = 0.6). Other results were largely a replication of the previous two experiments. The first step of the conceived episode took longest to execute (table 5, and main effect of serial position in table 6). This was the case for both switch and repeat trials at trial 1. Performance on switch trials was poorer than on repeat trials (table 6 main effect of rule switch), however, the effect of rule switch was not the same across the trials making up the episode (table 6: Rule Switch x Serial Position). Specifically, the switch cost was absent at the first position (RT: paired t 21 = 0.89, p=0.4, 95% CI of difference = [-43, 109]; Accuracy: paired t21 = 0.3, p =0.7, 95% CI of difference = [-1.4, 1.9]). Lastly, accuracies were not significantly different between the trial 1 and subsequent trials (main effect of serial position on accuracy in table 6). Current experiment affirmed that longer episodes did indeed take longer to initiate, and replicated other 42 behavioral signatures seen in experiments 1 and 2 that suggested that trials construed as parts of a task were executed through subsuming routines assembled at the beginning of the extended task. 2.4 Experiment 4 Whilst there is debate about the contributions of various sources to switch-cost (repetition advantage, inhibition of or interference from previous trial etc.; Monsell, 2003), it is, by definition, related to the previous trial. We have argued that the absence of switch cost at trial 1 was related to the disassembly/reassembly of episodic routine structures at episode boundaries ‘washing out’ the existing trial rule related configurations. This would predict that the interference seen during Stroop task (e.g. identify the font color of the word RED when the font is blue) would be unaffected at the beginning of task episodes 43 because the control requirements generated by Stroop incongruence pertain largely to the current trial and not to the previous one. Participants did a modification of color-word Stroop task (Figure 5). The experiment had two kinds of blocks. Trials of the first one were temporally grouped into chunks similar to that in Experiments 2 and 3. In such blocks four consecutive trials were grouped together through smaller inter-trial interval (500 ms), while two adjacent chunks were separated by longer intervals (1500 ms). Furthermore, the stimulus background had a faded digit that moved 4-3-2-1 across the four trials of the chunk. In the second kind of blocks, trials were not organized into higher order tasks and were presented as a flat sequence (iti = 500 ms) with the digit ‘1’ in the stimulus background. The second kind of blocks 44 allowed us to replicate the results of experiment 2 that had shown faster execution of trials when they were executed as parts of a larger task episode than when similar trials were executed as independent tasks. Specifically, we were curious if trials executed as parts of an episode will show better Stroop control compared to independent trials. Recall that in experiment 2 such trials had shown better switch control. 2.4.1 Methods 45 Figure 5. Participants chose the color of the print of the word from the two choices below. Notion of task episodes was created by having short inter-trial durations between the four trials making up the supposed episode and long inter-trial durations between the consecutive trials across successive episodes. A faded number went from 4 to 1 across the four trials of these episodes. In a second block type trials were presented as a flat sequence with constant inter-trial interval across the block. All trials of such blocks had the number ‘1’ in their background. On each trial participants saw a centrally presented color name (‘Red’, ‘Blue’, ‘Green’, ‘White’; in Arial font size 40) in colored prints, such that the print and the name were congruent on 60% of trials and incongruent on the rest (Figure 5). Participants’ chose the color of the print from the two color words presented in Arial black font size 20 (1 degree away from the center and ½ degree below it) below by pressing a button spatially congruent with their choice 46 - left: Numpad 1 (to be pressed with right index finger); right: Numpad 2 (to be pressed with right middle finger). One (allocated to left or right at random) always reflected the font color. When the font and word were incongruous, the other word always repeated the stimulus word. On congruous trials the other word was selected randomly from the remaining colors. Between these two options a partially (70%) transparent digit appeared in black. The stimuli remained on screen till a response was made. Erroneous responses elicited a low pitched feedback tone. Procedure Participants completed a 3-minute practice block of the basic Stroop task at the beginning of the session. For the main session they were only told to ignore the digit in the background, and were not instructed about the 47 episodic organization of trials. Before the 4-trial blocks the instruction screen mentioned ‘4 - step blocks’, it remained on until the spacebar was pressed. Such blocks consisted of 48 trials. The instruction for the flat trial sequence block mentioned ‘independent trials’. Such blocks consisted of 20 trials. These blocks were interleaved. Participants did a total of 150 - 250 blocks. Participants Eighteen healthy participants (9 females) were recruited through MRC-CBU volunteers’ panel (age 18 to 40 years). They gave written, informed consent before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 48 2.4.2 Results Figure 6. Pattern of reaction times across the four trials of the construed task episodes (continuous line bars: incongruent trials, dashed line bars: congruent trials). Independent dashed and dotted lines represent the incongruent and congruent trial 49 RTs in the independent trial blocks. Note that these are higher than the corresponding trials that formed part of a larger task episode. Table 7. Mean reaction times (ms) and accuracies (%) across the incongruent and congruent trials corresponding to the four steps of task episode and of independent trial blocks. Response Time F MSE Accuracy Effect dfs p Serial Position (4 step) 3,51 18.3 90838 <0.001 1.8 1821 0.2 Stroop Cost (4 step) 1,17 92.1 769757 <0.001 87.9 726102 0.3 Stroop Cost x Serial Position (4 step) 3,51 2.1 1965 2.4 2115 0.08 0.1 F MSE p Table 8. Serial Position: Repeated measures ANOVA looking at the main effect of the position of trial within the episode on RT and accuracy. Stroop Cost: Main effect of Congruence (Incongruence vs Congruence trials). Stroop Cost x Serial Position: Interaction between the effects of congruence and serial position. 50 Figure 6 and tables 7 and 8 summarize the key results. As before, the first trial of the episode took longest to execute (table 7, and main effect of serial position in table 8, 95% CI of difference = [54, 146], Cohen’s d = 1.1). This was the case for both congruent and incongruent trial 1. Expectedly, the performance on incongruent trials was poorer than on congruent trials (table 8 main effect of rule switch), but crucially it did not vary across the episode (table 8: Rule Switch x Serial Position). Specifically, unlike switch cost in previous experiments, the cost of incongruence did not disappear on trial 1 of the episode (RT: one-sample t17 = 8.8, p=<0.001, 95% CI of difference = [127, 206]; Accuracy: one-sample t17 = 4.2, p = <0.001, 95% CI of difference = [1.7, 5.0]). The dashed and dotted lines in Figure 6 mark the RTs on incongruent and congruent trials in the independent trial blocks. As is evident both were 51 higher than the incongruent and congruent trials of task episodes. In fact the average RT on trials executed as parts of task episodes was lower than for independent trials even when task episode trial 1 RTs were included in comparison (congruent trials: t 17 = 7, p<0.001, 95% CI of difference = [89, 165]; incongruent trials: t17 = 4.9, p<0.001, 95% CI of difference = [69, 175] ). Whilst there was a general RT advantage for task episode trials, Stroop cost on RT (RT on incongruent trials - RT on congruent trials) did not differ between task episode and independent trials (t 17 = 0.3, p=0.8, 95% CI of difference = [-27, 37]). However Stroop cost on accuracy (Accuracy on Congruent trials - Accuracy on incongruent trials) was significantly higher on independent than task episode trials (t17 = 2.6, p=0.02, 95% CI of difference = [0.5, 5.5]). As might be expected from that result, when Stroop trials were broken down by congruency, 52 accuracy was greater for task episode than individual trials for incongruent trials (t17 = 2.7, p=0.02, 95% CI of difference = [0.6, 5.3]), but there was no difference on congruent trials (t17 = 0.07, p=0.9, 95% CI of difference = [-0.5, 0.5]). These results affirmed the prediction that Stroop cost will not be absent on trial 1, and that trials executed as parts of a higher task will get executed faster and better controlled than trials executed as independent tasks. Again, the presence of the episodic routine did not decrease the limited capacity cognitive reserves available for resolving Stroop interference. Instead, analogous to experiment 2 results, Stroop control was better on trials subsumed by the episodic routine. 2.5 Experiment 5 53 Counting or countdowns involved in prior experiments can be construed as a hierarchical act, and it is possible that the hierarchy evident in the execution of trials in experiments 1 to 4 was a spillover from a separate but simultaneous hierarchical task – counting (or countdown) in 3s, 5s or 4s. Through this experiment we clarify that this was not the case. Instead above results were the result of the construal of the trial series as a single task, as a consequence of which these trials were executed through a routine instantiating the cognitive states related to that task. The task episodes of the current experiment did not have a fixed number of trials and did not involve counting or countdown. The idea of episodes was created by the presence of an additional margin (outside the one conveying the relevant trial rule) that stayed on for an extended duration during which trials 54 would appear randomly at any time. Trials would not appear after this margin had switched off. Every episode began with the appearance of trial 1 stimulus along with this margin (Figure 7). While the trial 1 stimuli disappeared after the response, the outer margin remained on. Subsequent trials would appear anytime while this outer margin was on. This margin went off marking the end of the episode, and came back on with the beginning of the next episode. The notion of task episode was thus implicitly defined as the period enveloped by the presence of the outer margin during which a trial could appear any time. Two kinds of episodes (short and long), framed by different color margins (black or red), were randomly interleaved. Short episodes lasted between 3 to 6 seconds and two to three trials would appear at any time during this period. Long episodes lasted between 55 7 to 10 seconds and three to seven trials could appear during this period. The inter-episode interval was fixed at 2 s, but the inter-trial interval within an episode varied from 50 ms to 3s in short episodes and 50 ms to 5s in long episodes. Note that in this experiment, not only did the subjects not have any foreknowledge about the identity and sequence of task items, they also could not predict the number of trials and their intertrial intervals. 56 Figure 7. The outermost margin (here in red) stayed on for extended duration during which an unpredictable number of trials would appear at random intervals. Trials would not appear when this margin was off. We hoped that participants would construe the temporal epochs carved by the presence of such margins as the recurring task episodic units to be executed. 2.5.1 Methods Save for the additional outer margin, individual trials were identical to Experiment 1 (speeded decision as to which of two numbers had the smallest value or font size as indicated by the color of the inner margin). Participants did two experimental sessions each lasting 57 16 minutes, with a period of rest in between. Within a session the two kinds of conceived episodes occurred randomly. Participants did a 4 minute practice session that was identical to the main experimental session. They were not instructed about the episodic structure of the task block and were told nothing about the outermost margins. Participants Twenty seven healthy participants (17 females) were recruited through MRC-CBU volunteers’ panel (age 18 to 40 years). They gave written, informed consent before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 58 2.5.2 Results Figure 8. Pattern of RTs across long and short episodes. Note that trial 1 RT was the highest, and longer episodes had higher trial 1 RT. Key results of previous experiments were again replicated (Figure 8). The first trial of the episode took longest to execute (F2, 52 = 26.2, p < 0.001). This trial 1 RT was longer before longer episodes (95% CI of difference = [14, 39], Cohen’s d = 0.81; t26 = 4.2, p < 0.001). Switch cost was substantially reduced at the first trial of the episode (Smaller episodes: F 2, 52 = 18; Longer episodes: F6, 156 = 8.1, p < 0.001 for both). The execution of trials construed as parts of a larger task 59 episode again showed key behavioral signatures that suggested that these trials were executed not as independent entities but as parts of a routine. This was the case even though participants were unaware of the number and sequence of task items they would be required to perform, when those items would be executed and the precise duration of the episode. 2.6 Experiment 6 The thesis that task episodes are executed through a preassembled routine that unfolds into the sequence of higher level cognitive states making up the task episode implies that the routine will have elements related to the entire length of the episode and not just those related to the constituent trials. This predicts that larger routines will be assembled before episodes that are longer in time but have the same number of 60 trials causing longer trial 1 RT before episodes that last longer but have the same number of trials. Here participants executed trials that were identical to those in experiments 1-3 in three different kinds of blocks - 3-trial-short, 5-trial-short and 3-triallong (Figure 9). In the first two there was no inter-trial interval within the episodes; the next stimulus onset immediately after response. In the 3-trial-long blocks within-episode inter-trial interval was 2 s. This produced task episodes with mean execution durations of 2.6 s, 4.0 s and 6.6 s, respectively. The critical prediction was that duration would play a separate role to number of trials and, therefore, trial 1 RT of 3-triallong episodes would be greater than for 3-trial-short. Another now obvious prediction was that RT for trial 1 of 5-trial-short episodes would be greater than for 3trial-short as these episodes had both more trials and longer duration. It was less clear what would occur on 61 trial 1 of the 5-trial-short vs. 3-trial-long comparison, where task step number and duration were pitted against each other. A concern was that the 2 s inter-trial intervals of the 3-trial-long blocks would lead participants to view these as individual trials rather than as part of a single task. To offset this a new feature was introduced. In all blocks participants were asked to press a ‘task end’ button at the end of each episode in the hope that this would reinforce the construal that individual trials were part of a larger task. 2.6.1 Methods 62 Figure 9. There were three kinds of blocks of the number-font switching task, 3-trial-short, 5-trial-short and 3-trial-long. Inter-trial intervals within an episode in the first two were 0 s and in the third 2 s. Accordingly the effect of episode duration could be examined separately from the number of component steps on trial 1 RT of each task episode. Inter-episode interval was 2 s in all conditions. To encourage construal of 3- and 5-trials as a single task, participants were asked to press an additional ‘task end’ key at the completion of each episode. Stimuli and trial rules were identical to Experiment 1. The key differences in this experiment concerned inter-trial intervals and the additional requirement to press a ‘task end’ button (key ‘Z’ on QWERTY keyboard) at the completion of each task episode. In 3trial-short and 5-trial-short blocks, within each episode, the stimuli for the next trial onset immediately after the response to the previous trial (Figure 9a and b). Within 3-step-long episodes the onset of the next trial occurred 2 s after the response to the previous trial during which the monitor was blank (Figure 9c). In all 63 conditions there was a 2 s delay between the end of each episode and the beginning of the next. Participants completed a 5 minute practice session before the main experiment, during which they practiced on the three kinds of episode blocks. In the experiment session, blocks comprised 60 trials (i.e. 20 task episodes in 3-trial-short and 3-trial-long blocks and 12 task episodes in 5-trial-short blocks). Participants completed 30-40 blocks, the different number reflecting how long they chose to rest between in between blocks in the fixed-duration experimental session. Block order was randomized for each participant. Participants Nineteen healthy participants (11 females) were recruited through MRC-CBU volunteers’ panel (age 18 to 40 years). They gave written, informed consent 64 before the experiment, and were paid £8.50 for their participation. All had normal or corrected to normal vision. 2.6.2 Results Figure 10. Trial 1 RTs of both 5-trial-short and 3-trial-long episodes were higher than those of the 3-trial-short episodes. As evident in Figure 10 and as would be expected from the previous results trial 1 RT of 5-trial-short 65 episodes was longer than that of 3-trial-short episodes (paired t18 = 3.1, p=<0.01, 95% CI of difference = [23, 123], Cohen’s d = 0.71). Critically, despite having the same number of trials, trial 1 RT for 3-trial-long episodes was also significantly greater than for 3-trialshort episodes (paired t18 = 2.9, p= <0.01, 95% CI of difference = [17, 103], Cohen’s d = 0.67). When RTs for trial 1 of the longer duration/fewer steps 3-triallong episodes were contrasted with the shorter duration/more steps 5-trial-short episodes there was no difference (paired t18 = 0.6, p=0.5, 95% CI of difference = [-37, 64]; Cohen’s d = 0.1) In this experiment we sought to separate out the effects of task episode duration from the number of steps in the task in terms of the preparation time at the beginning of the task episodes. The results suggest that both are important. Despite having the same 66 number of steps, the anticipated longer-duration of the 3-step-long condition produced significantly longer preparation times than the 3-steps-short condition. Similarly, although the duration of the 5-step-short tasks was only moderately longer than the 3-step-short tasks, the increase in reaction time attributable to the greater number of steps was broadly equivalent to that of the 3-long vs. 3-short comparison (Cohen’s d 0.71 vs. 0.67). In this case the effect of more steps/shorter duration appears to have been balanced with the fewer steps/longer duration as no differences were observed in response time between the 3-steps-long and 5-stepsshort tasks. 3.Discussion 67 We showed that every time a series of otherwise independent and unpredictable trials was construed as a task episode, behavior suggested that these trials were not executed independent of each other but as parts of a common subsuming routine that was assembled at the beginning of the supposed episode: (1) Trial 1 of the episode had the longest RT, suggesting the additionally time taken to assemble the routine structure. (2) Trial 1 RT was longer before episodes that had more number of trials or that were temporally longer, because longer episodes required longer routines that took longer to assemble. (3) Switch cost due to change in task items across consecutive trials was absent on trial 1 because the episodic routine subsumed the execution of trials of the episode allowing consecutive trial related configurations to interact within a routine only and not across them because dismantling of the routine also 68 dismantled trial rule related configurations nestled under it. In contrast to switch cost, Stroop interference on a trial largely comes about from issues pertaining to that trial and not because of configurations/traces/associations) issues related to (e.g. the previous trials, hence Stroop cost was not absent on trial 1. Additionally, we found that trials construed as parts of a task episode were executed faster and had better control for switching rules and overcoming Stroop interference than trials executed as independent tasks. This would be expected because the higher task related cognitive state through which trials of the episode were executed had been prepared for as part of the routine structure and instantiated automatically across time. However, for independent task trials such states had to be individually instantiated before each trial execution. 69 Analogous to higher trial 1 RT seen in the current study, neuroimaging of extended tasks showed higher and more widespread activity at the completion of construed task episodes suggesting that the routine assembled at the beginning dismantled at completion of the (Farooqui et episode al. is 2012; Desrochers et al. 2015). The intensity and spread of this activity is related to the hierarchical level of the completed episode - task completion > subtask completion, suggesting a hierarchical arrangement of routines related to tasks and subtasks. Completion of a subtask dismantles the routine related to it leaving the overarching routine intact, hence elicits less activity compared to the completion of the main task, which dismantles routines at all levels. This is conceptually similar to the current finding of absence of switch cost across episode boundaries. 70 Neuroimaging of experiments similar to experiments 2 and 3 (Farooqui et al. in preparation) showed a widespread sequential increase in activity across trials making up the task episode. This dependence of activity on the sequential position in the construed task episode again suggested that these trials were executed as parts of a larger routine that changed systematically across the length of the episode causing a systematic change in activity across the sequential but identical trials forming the episode. Episodic Routines The current study suggested that our intuition that we execute extended task identities may be correct because the corresponding behavior although extended is executed through a single act. This act generates as a single routine the entire series of cognitive states that will go on to subsume the execution of the 71 corresponding behavior. Importantly, this happens even when the task items to be executed within the episode are unknown or unpredictable, because the cognitive states generated through this routine are related to the task identity being executed. Hence, it is the construal that task items to follow, whether predictable or not, will be executed as parts of a higher task episode that creates this subsuming episodic routine because such a construal implies that these items will be executed through the cognitive states corresponding to the construed task, and as components of the larger task. The cognitive states created through this routine may correspond to the subjects’ notion of the task being executed (Vallacher & Wegner, 1989) and correspond to the widespread changes in cognition based on her knowledge of what that task entails. This knowledge may specify a particular step, or direct her to the relevant environmental contingencies that will 72 determine the identity of that step, or just involve being on-task. For executing any extended task, cognition not only has to execute the set of overt behavior but also needs to execute the widespread cognitive changes that bring about that overt behavior. Overt behavior, after all, is the proverbial tip of the mass of changes in cognition that take place during any purposeful activity. It is well recognized that goal directed cognition requisites specific organization that brings to fore task relevant learnings, memories, dispositions, knowledge and expectancies, and the corresponding configurational changes in various perceptual, attentional, mnemonic, and motor processes so that of the multiple possibilities ongoing cognitive processing takes the one that brings cognition and the state of the environment closer to the intended goal (e.g. Bartlett, 1932; Dashiel, 1940; Miller, Galanter & Pribram, 1960; 73 Rogers & Monsell, 1995; Mayr & Keele, 2000; Logan & Gordon, 2001). The episodic routine may instantiate the automatic flow of task relevant knowledge and of the widespread changes in cognition that follow from or are linked to this knowledge – the most basic of which is the conscious knowledge of the task being executed. In the current experiments participants knew that the task consisted of a particular number of trials and a particular period of time (or a probabilistic estimate of these, e.g. in experiment 5), and that the component trials involved (e.g.) right handed response, attention on the numbers appearing in the area around the center of the screen, decisions that compared the two numbers. It is possible that the sequence of cognitive states instantiated corresponded to the by the subjects’ episodic knowledge routine of the construed task and expectations related to that task. It 74 therefore could have included increased motor preparation of the right hand and relevant attentional and rule set on central vision, either throughout the episode or specifically during instances when trials were expected and less so when inter-trial intervals were expected. If, additionally, the identity and sequence of task items to be executed on individual trials was known beforehand as is the case in task sequence studies, the routine could additionally have specified the identity and sequence of individual task items, and would have created more specific preparatory states (trial related cognitive set). If, further, a foreknowledge of what motor actions to make across time was also available, the routine would have acted as a motor program (Keele, Cohen & Ivry, 1990). The presence of foreknowledge about the steps affects the nature of prior preparation and the 75 additional content of the higher task related cognitive states specified by the episodic routine and not the presence of the episodic routine and the task related cognitive state specified by it. The phenomenon in the current study is, thus, a more general version of the phenomena seen when explicit task or motor sequences are executed (Rosenbaum et al. 1983; Schneider & Logan, 2006). The principle underlying all of these is the hierarchical nature of cognitive action whereby abstract and temporally extended actions aimed at higher level tasks subsumes and sets the context for more concrete and temporally limited actions aimed at subtasks. Construal of task - i.e. what is the task to be executed - determines the nature of the higher level action that organizes cognition across time and sets the ground for lower level and more concrete action, and therefore may be the key 76 determinant of cognitive organization during purposeful behavior. Episodes in Cognition Analogous to the current suggestion that purposive behavior may be executed through episodes corresponding to extended task constructs, Zack and Tversky (2001) suggested that perception occurs through episodic which they termed ‘events’. When participants viewed a video (e.g. of preparing breakfast) they reliably organized their viewing into episodes constructs corresponding (e.g. to preparing temporally tea, toasting extended bread). Importantly, akin to Farooqui et al. 2012, greater activity was elicited at the boundaries of higher level perceptual episodes (e.g. preparing tea) than at the boundaries of a lower level episodes (e.g. boiling water; Zacks et al. 2001). They further suggested that 77 perceptual episodes (or ‘events’) may be periods wherein a subsuming perceptual construct provides a prediction template to interpret the incoming sensations and that these templates get changed at episode boundaries (Kurby & Zacks, 2007). This again is analogous to our claim that during the execution of task episodes the subsuming episodic routine following from the active task construct provides the template for relevant processing and action generation. We would further predict that the higher level cognitive states related to the perceptual construct would be instantiated as a routine. The notion of an extended period of behavior being instantiated as a single routine has in the past been used in situations that are habitual and rigid whereby once instantiated the corresponding behavior automatically runs off to completion. In contrast, we have evidenced abstract routines that unfolded into a 78 sequence of cognitive states that could subsume different kinds of behavior. These routines were open in that they could not run-off on their own but depended on more deliberative trial executions to move forward in time. Other studies have also evidenced the presence of such abstract routines that neither correspond to a predetermined sequence of behavior nor run-off on their own. Cushman and Morris (2015) recently provided formal evidence that a series of sub-goals may get assembled into a routine for selection as a single entity while their deliberative decisions/actions. suggestion that (implementation future intention) execution required Gollwitzer’s (1999) self-regulatory goals may be automatically implemented is also akin to an abstract routine e.g. If my implementation intention is to be friendly to an unpleasant person in a meeting I may behave in a 79 myriad ways to fulfill this goal. When I meet him I may smile, do an extra effort at striking and maintaining a conversation, modulate my emotions and so forth. The sequence of behavior I end up undertaking to appear friendly could not have been pre-specified by the implementation intention because the actual behavior depended on situations that occurred in the meeting, the response the supposed unpleasant person gave and so forth. At the same time, if I am socially adept, I would not have to make an active high level decision before each of step of the sequence of polite behavior. Most importantly, this notion of task episode execution is in line with emerging ways of thinking about goals. Tasks and goals are intimately related constructs. Tasks culminate in goals, and connect the intending of a goal to its achievement. A wide variety of frameworks accept that goals are important for the control and execution of tasks that lead to their 80 achievement (James, 1890; Lewin, 1926; Greenwald, 1972; Prinz, 1987; Jeannerod, 1988; Meyer & Kieras 1997; Gollwitzer & Sheeran, 2006; Anderson, 2014), and hence may correspond to some cognitive entity that is active during the task episode (James, 1890; Kruglanski & Kopetz, 2009). The episodic routine may be the cognitive bridge that connects goal to the period of its execution by organizing cognition across time and ensuring its goal directedness from the highest level. Automatic and deliberative aspects of cognition are frequently considered as separate systems (Kahnemann, 2011; Evans & Stanovich, 2013). A sharp distinction is usually made between situations where extended behavior comes about through deliberate decisions made at each step, and those where the extended behavior is selected as a routine (e.g. Dolan & Dayan, 2013). In contrast, current study suggested 81 the simultaneous existence of automatic and deliberative aspects of cognition. The deliberative execution of randomly switching rules on individual trials was subsumed by an automatically unfolding episodic routine that even eased the deliberativeness of the trials it subsumed. Alternate Accounts Hierarchy accounts of goal directed behavior differ in the form of hierarchy emphasized (Broadbent, 1977; Cohen, 2000; Botvinick, 2008; Badre & D’Esposito, 2009; Shallice & Cooper, 2011). Frequently, the emphasis is placed on the hierarchical nature of task item related knowledge and representations in memory (e.g. Bower, 1970; Minsky, 1975; Schank & Abelson, 1977; Cooper & Shallice, 2006; Schneider & Logan, 2006). In these accounts beginning a task requires accessing/establishing task item related 82 representations in long term/working memory and hence the delay at step 1. Likewise, retrieving higher task related representation is thought to remove memory traces related to lower level task items causing absence of item level switch cost at position 1. The success of such accounts in explaining the current results depends upon on their proposed nature of task item representations. Accounts that take these representations to be abstract and propositional cannot explain the current observations that were made in absence of propositional representations corresponding to individual trials. Other versions of such accounts may claim that what is hierarchically propositional task stored item in memory representations is not but the episodic memory of task execution (e.g. Medin & Shaffer, 1978; Jacoby & Brooks, 1984; Logan, 1988; Trammell, 1997). It is possible that instances of task 83 execution generate a whole host of episodic (explicit and implicit) memories (e.g. Jacoby & Brooks, 1984; Logan, 1988), with re-execution strengthening the common elements across different iterations of the task episode and whittling away those that were specific to individual instances, and thus create episodic memories of task execution. Later execution of task episodes will occur through the recall and instantiation of the episodic memory of that task episode causing the signs of hierarchical cognition. This account, however, does not explain what makes the segment of executed behavior to be represented as a single episodic entity in the first place for the memory of its execution to be represented as one chunk. It presupposes it. The current account claims that construal of a segment of behavior as a single task results in its execution as a single episodic entity, which consequently may facilitate the memory 84 generated by that segment to be stored as discrete episodic chunks. Some accounts emphasize the hierarchical nature of control processes in terms of their relational and decision complexity e.g. single level decision (red color → left key press) vs two-level decisions (if circle then red color → left key press, but if square then red color → right key press) (Christoff et al. 2009; Badre & D’Esposito, 2009). In the current study, however, individual trials of an episode were identical in these aspects. Other accounts have emphasized the temporally extended nature of higher level control referred to as episodic control (e.g. Koechlin & Summerfield, 2007; Braver, 2012). Such control may be needed to maintain rules and decisions that are unique to an episode, or to maintain an ongoing task in abeyance while a branch of the task is being executed. In most of the current experiments all trials of an 85 experiment block were identical in these terms, and the boundaries of the conceived episodes were not accompanied by changes in control of the kind emphasized by these accounts. Conclusion In summary, we showed that a series of otherwise independent trials when construed as a task is executed as a single cognitive act through a preassembled episodic routine. We suggested that this routine creates the series of cognitive states related to the construed task identity being executed. 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