Language and Imagination Eric Reuland Utrecht institute of Linguistics OTS [email protected] http://eric.reuland.nl/httpdocs/Welcome.html Aim and structure of this talk Claim: The evolutionary sources of language are intrinsically connected with ZKDWRQHPD\EURDGO\FDOO³,PDJLQDWLRQ´ Aim: To provide a functional analysis of the requirements working memory systems must meet in order to subserve GLIIHUHQWµPRGHV¶RILPDJLQDWLRQ and to elucidate how developments in working memory systems contribute to facilitating the emergence of language, by focusing on possible discontinuities. Structure: Initial discussion of imagination Tool making and demands on memory resources Art and demands on memory resources Language and its prerequisites Non-linguistic diagnostics for language (?) The gap between design features and what we know about the structure of 2 language. Imagination: some reflections The cave on the first picture and most of the subsequent ones is Blombos Cave in South Africa. It is famous because it was found to contain some of the oldest traces of human imagination. Imagination in a most modern sense: results of imagination freed from the use in the direct struggle for life with the natural environment.As an illustration, the next page shows some of the products of such free imagination. 3 3URGXFWVRI³IUHH´LPDJLQDWLRQ Beads from Blombos Cave, South Africa, Middle Stone Age, 70 ka BP Piece of ochre with engravings (id.) 4 An early reflection Reflecting on imagination is not new. In 1967 the mathematician and humanist Jacob Bronowski wrote an essay on imagination that captured what is to my mind the core insight that imagination rests on the manipulation of mental images. However, as we will see in the end, the notion of an image will have to extended beyond what what Bronowski had in mind. 5 What is imagination? Jacob Bronowski ( The Reach of Im agination, 1967): ³Imagination is a specifically human gift. To imagine is the characteristic act, not of the SRHW¶V mind, or the SDLQWHU¶V or the VFLHQWLVW¶V, but of the mind RIPDQ´ More concretely: ³7RLPDJLQH PHDQVWRPDNHLPDJHVDQGPRYHWKHPDERXWLQVLGHRQH¶V head in new arrangements´ More prosaically: Imagination rests on the manipulation of mental representations. Here is where the first reference to a crucial human trait comes in: µ0HQWDOLPDJHV¶may result from operations on µPHQWDOLPDJHV¶ It is enough to allow operations on mental images to apply to mental images that resulted from such operations to have recursion in the relevant sense. .6 What role does imagination play? S. Mithen ( The Evolution of Imagination: An Archaeological Perspective, 2001): 0RVWEDVLFIRUP³6LPSO\HQYLVLRQLQJDOWHUQDWLYHFRXUVHVRIDFWLRQZKLFK IRRGWRFKRRVHLQWKHVXSHUPDUNHWZKLFKSHUVRQWRDVNRQDGDWH´ ³7KHDELOLW\WRWDNHWKHRUGLQDU\«DQGXVLQJLWWRH[SORUHH[SUHVVRU GLVFRYHUVRPHWKLQJTXLWHH[WUDRUGLQDU\«´ ³,PDJLQDWLRQDERXWZRUOGVWKDWZHFDQRQO\LQKDELWLQRXUPLQGV² worlds in which the laws of nature are regularly broken or simply do not exist. Examples are the worlds created in mythology and science fiction, the ZRUOGVRIVXSHUQDWXUDOEHLQJVIURP+LHURQ\PXV%RVFKWR6DOYDGRU'DOL´ 0LWKHQ¶V question: How could such an ability to think about the unreal have evolved? Such questions come up in various forms in evolutionary discussions. But the moment we realize that imagination results from operations on mental representation it follows that no deep problem is involved. 7 A precondition for imagination If we have manipulation of images we need a space in which these manipulations can be carried out. Without such a space imagination is impossible. And limits on this space will limit imagination, and the use we can make of its results. This immediately connects the study of imagination to the study of mental work spaces in our brain: working memory (WM). Baddeley, one of the pioneers in this field, provides a state-ofthe art summary of the theory of working memory in his 2007 book. Coolidge and Wynn (2005) and subsequent work develop an interesting perspective on human cognitive evolution in these terms Æ my interest in the role of WM-use 8 and access as preconditions for language. Towards an understanding Crucial for the current perspective on imagination is that mental representations should be analyzable into component parts. As the basic tool for our discussion here and elsewhere, I will take a functional analysis. Given that a system can perform certain operations on representations, what are the minimal properties it must have? Such a functional analysis abstracts away from particular kind of processes taking place in the brain. Of course, in the end such links must be established, but this leads us beyond the scope of the present essay. 9 Summary of what it takes Functional analysis: A memory system for mental representations needs: A storage system; The capacity to maintain representations through time; The capacity to access and maintain alternative representations simultanuously; An articulation/analysis of representations allowing manipulation/operations on sub-parts. 10 From imagination to realization It is not only the case that we can imagine things, but we also try to realize and use what we imagine as the examples on the next slide show. All these examples are based on the ability to form complex representations or ± when they are realized ± corresponding objects, by combining more elementary components (shafts, heads, colors, lines, words, melodies, etc.) But, as we will see further on, there are also limitations on our ability to use what we imagine. 11 From imagination to realization We imagine a tool and make it a painting and paint it a poem and write it a song and sing it «« rules and impose them These all show the conditions on imagination as we have it: Allowing the formation of complex representations by combining more elementary representations. 12 Various realizations Tools are made of component parts, and paintings of lines, surfaces and colors. Poems are made of words, and songs of words, rythms, and melodies. Rules are also made of elements that are words in some sense, but their status differs from poems or songs. Whereas poems, songs and also paintings are complex objects that are endproducts and carry their purpose in themselves (at least in our culture), rules share with tools that they are not selfsufficient. Tools and rules are instruments to some end, and their use involves conditions that go beyond the cognitive capacities that devised them, as one can see. But before we do so, OHW¶V 13 first move to some more elementary considerations. Some elementary considerations Inputs from sensory systems cause bio-chemical changes in the internal state of organisms (in a part that often, but not always, corresponds to a brain). Such changes may be very elementary, as for instance in the case of snails or SODQDULD¶V. In mammals, on the other hand, we find a topographically organized representation of the visual field (Van Essen et al 1984, as an example of an early study). For instance, in the case of PDFDTXHVWKDWKDYHEHHQµVDFULILFHG¶DIWHUUHFHLYLQJDSDUWLFXODUYLVXDOLQSXWZHFDQVHHWKH effects of such changes as a visible pattern in their brains like an imprint of that input. There need not be deep philosophical issues in the conception of a representation. It is enough that we can observe bio-chemical differences in a brain on the basis of some input that persist for some time (from seconds to years), and call these representations. There are vast differences across organisms in the details of the input that can be encoded, and note, that any object has infinitely more properties than can be encoded. So, representations are not true or false, they are just more or less detailed, and perhaps more or less useful in the quest for survival. To say that an organism has imagination, is to say that it has operations affecting initial representations, yielding brain states of a similar type that did not directly result from a sensory input. For the present discussion I will take my starting point in some initial observation about dogs, then move to chimpanzees and after that to early humans. 15 A crude mode of internal representation Bronowski (1967), citing Hunter (1910): Dog memory experiment: One of three tunnels would open when a light came on ± the dog was rewarded with food if went down that tunnel. The dogs were quite successful at this task. Adding a complication: The dogs had to wait a while after the light had gone out again. A dog forgets which of the three tunnels has been lit in a matter of seconds. Similar results have been obtained more recently both for dogs and for cats (see Journal of Animal Cognition 2003, 2006). 17 A huge step We now take a huge step from dogs to chimpanzees. Chimpanzees are well-known for their ability to use simple tools, and for our persisting attemps to teach them human language. Although they have a surprising ability to handle abstract symbols they have not been able to acquire langage in our sense (perhaps not so surprising since they DUHQ¶W us). Here I will primarily limit discusssion to certain aspects of their tool making. 19 Comparative approach: Complexity Tool use by chimpanzees: 20 Some notes on chimpanzees What chimps can do is impressive - from our perspective - as compared to other animals¶Vtandards. Stories about their capacities in captivity abound in the literature. Here I will focus on one instance of tool use in the wild. Sanz and Morgan (2007) report on their use of tools in catching termites. They use branches to probe into termite nests. Sticking them in, and getting them out full of termites clinging to them. However, some types of branches work better than others. For an optimal result they modify branches by chewing on them, and thus producing branches that fit the requirements. Sanz and Morgan studied a group of chimpanzees in the wild by closely following them during a couple of months. For our understanding of their memory capacity the following remark is significant:³We also observed that termite-fishing probes may be conserved and transported between nests within a single da\´ But not, by implication, overnight. This indicates an important limitation in their ability to maintain internal representations in their working memory (WM) through time. If such limitations also apply to other aspects of WM one would expect that that they could use two tools for a task, and make simple tools, but that making composite tools would go beyond their WM 21 capacity. What it takes can be summarized as follows: A bit more sophistication Tool use by chimps (Sanz & Morgan 2007): Mental representation of goal Mental representation of shape fitting the goal Finding suitable object(s) Sequential adaptation of objects (branches) to fitting shape WM properties: Representation of envisioned shape for as long as it takes Snapshot comparisons with tool as it develops Representations restricted - to (relative) here and (relative) now: Tools not preserved for more than a day, no composite 22 tools. On tool manufacture by chimps Tool manufacture of this type requires that one is able to access both the current shape and the envisaged shape of the tool under construction. However, it is not the case that both representations need to be available simultaneously. It is sufficient to be able to to access the envisaged shape snapshotwise. BriefµJOimpses¶Wo check whether the tool is being modified into the right direction. A related issue is the role of WM in further tasks: The mental representation of others in the form of a ³7heory of Mind´ (usually abbreviated asµ7oM¶). 23 Theory of mind Having a theory of mind, that is, forming beliefs of how another person is perceiving us, and that¶V person possible intentions towards us, is very characteristic of human behavior. Whether chimps have a theory of mind is highly disputed among primatologists. Some, such as the well-known primatologist Frans de Waal ascribe them quite high level abilities in this respect, others, for instance Simone Pika (Humboldt Research Group Comparative Gestural Signalling), are far more skeptical in this regard, and argue that for their apparently stunning feats there are simpler explanations available thatGRQ¶W rely on highly developed cognitive functions. There is, however, agreement on an upper bound. There is no evidence of any behavior in this domain that goes beyond that of a 4-year old human child. See the next slide for aµ7oM stRU\¶Dnd an assessment of its limits. 24 What can be represented: ³7KHRU\RIPLQG´ Many stories of attempted deception (but all disputed) Byrne (1998): A[nother] chimpanzee inhibited its normal tendency to begin eating a coveted food item when it VDZWKHGRPLQDQWFKLPSDQ]HHQHDUE\«7KHGRPLQDQW¶VUHDFWLRQVKRZHGWKDWWKHGHFHSWLRQ was not successful: it hid and peeped out from behind a tree. Presumably thinking that the dominant animal had instead left, the subordinate chimpanzee picked up the food, and was promptly relieved of it. (117) Tomasello et al. (2003): &KLPSDQ]HHVFDQPHQWDOO\UHSUHVHQWZKDWFDQEHVHHQEXWFDQQRWUHSUHVHQWRWKHUV¶EHOLHIV Analysis: Representing others¶beliefs requires accessing belief states per se. That is, the most direct source for imagining (=representing) belief states, is RQH¶V own belief state, which is tantamount to a representation of one self, and then moving on WR³if I were in your position«´or ³OHWPHSXWmy self in your position, and consider the result from my current position´ In this sense representing some other LQGLYLGXDO¶V belief state involves a recursive step. This is then what chimps must be lacking: recursion in the domain of mental operations on belief states. Or more strongly: 25 recursive operations on mental representations as such. Towards modernity One of the crucial steps towards modernity in the human lineage is the use of fire. It is tempting to consider this step just as an act of willpower, or as an independent evolutionary step. A functional analysis shows that it is neither. To be able to use fire requires quite a bit more of working memory than is needed for the use of simple tools. But what it takes can be easily described in terms of enhanced WM capacity, plus perhaps one more intangible property: Controlling fear. See the next slide for a summary of the steps required. 26 A step towards modernity: The use of fire From fire to cave - Envision a new arrangement ± a fire in the cave - Envision fire in a form that can be handled (burning logs) - Envision transfer of burning wood to cave - Crucial for effective implementation: suppression of fear ± accessing RQH¶V mental state and manipulating it (as if it were temporarily set apart). 27 - Operating on a mental state and returning a mental state: the basis of recursion. Tool making The next page illustrates some development in stone tool making. From rather basic tools in the Oldowan period to more refined ± sharper, better controlled flaking - tools in the Acheulien. The stone tools were manufactured by knapping techniques. Despite some increase in refinement, relatively little changed over a very long period of time. It is only at the end of the Middle Pleistocene(130 ka BP) that that one finds traces of hafting: attaching a stone head to a wooden stick to produce a spear (or an arrow), see Coolidge and Wynn¶s sketch of Neanderthal hafting. Mazza et al. (2006) report signs of tar hafting in Italy at the end of the Middle Pleistocene. 30 Developments in tool making From Oldowan 2.5 -- 1.2 Ma BP Homo Habilis to Acheulien 1.6 Ma ± 200 Ka BP Homo Erectus to End Middle Pleistocene 130 Ka BP Homo Neanderthalensis For extended time periods very little changes 31 Towards a functional analysis of early tool making Also for early tool making quite intricate requirements must be met. The maker must have an eye for material, possible fracture lines, and the right angle for hitting (I am indebted to Stan Ambrose for once giving me a demonstration of what it takes.) The next page provides a functional analysis of the requirements on early tool making, based on Wadley (2010). Although it definitely involves a much higher degree of eye-hand coordination, and jumping back and forth between mental representation, what it takes can still be seen as an a gradual extension of abilities of hominin ancestors. The few changes over long time periods also indicate that developments in early tool making just involve ³a bit better´of the same. The question is to what extent hafting involves a fundamental change in mental abilities. Simple hafting involves manipulating three object/representations, and a goal. What favors the idea that it represents a leap is that it developed late after a long stationary period. )XQFWLRQDODQDO\VLVKRZHYHUGRHVQ¶WVKRZthat it requires fundamentally different mental resources than stone knapping. Furthermore, as Wadley (2010) points out an apprentice could still learn it by watching. For Wadley (2010) the main question is whether simple hafting involves recursion in some 32 sense. Under her analysis the next step, complex hafting, in any case, does. Requirements for early tool making The knapping technique for stone tools requires mental systems allowing: Maintaining attention through time Manipulating two objects (the knapping stone and the tool being made) simultanuously. Keeping active simultanuously two mental representations: the goal, and the tool under construction (including properties of its material) ± for the knapping stone just snapshots will do (LVQ¶W it broken). ± process still sequential: after each hit determine if it meets your needs Invention of simple (tar) hafting: a goal and three objects (including stickiness as a property of tar) Transfer of knowledge can still simply take place by watching. 33 From early hominins to modernity: Progress in tool making Wadley (2010): Africa - 70 ka BP: complex adhesives Compound glue: based on plant gum, combined with ochre powder (clay containing hydrated iron oxide), which has no gluelike attributes. ³,WFRXOGQRWEHSUHGLFWHGZLWKRXWFRQVLGHUDEOH imagination, that the use of items with nonadhesive SURSHUWLHVFRXOGFUHDWHVXFFHVVIXOJOXH´ Process involves a chemical reaction: loose, dry powder + sticky, wet gum + heat = hard, dry 34 concreted adhesive. Requirements for complex tools Wadley (2010): Complex adhesives Memory system must be able to maintain ultimate goal through a range of subgoals Planning requires combining materials in ways not determined by their observable properties ± requires abstraction from the here and now ± requires operations on representations ± abstract objects in the memory system are like any other object available for manipulation Wadley: Transmission of such knowledge involves more than watching: requires description/language 35 A first leap According to Wadley (2010) complex tool making involves recursion. In my present terms, it requires the ability hold representations that have no direct connection to the sensory system in WM for a considerable time, and to manipulate and combine such representations recursively. Even if there are limits in practice on what can be held in WM simultaneously, there are no in-built limits on it in the system. This reflects an evolutionary leap opening the way for creating images with serious degrees of freedom, 36 reflected in pictures like the following one. Imagination A big leap: manipulating representations The creativity of imagination :HFDQWDNH(VFKHU¶V2WKHU:RUOGEHDGVRUWKHHQJUDYHGRFKUHIURP Blombos cave, and the Hohlenstein-Stadel figurine all as indicative of a fundamental leap. They are all direct consequences of an ability to analyze representations into subparts and recombine them. This brings us back to 0LWKHQ¶V question, and similar questions about the µDGDSWLYHYDOXH¶RIFHUWDLQWUDLWVRIKXPDQFRJQLWLRQ,WFDQQRWEH sufficiently stressed that given such a free combinatorics there is no SULQFLSOHGGLIIHUHQFHEHWZHHQµXVHIXO¶DQGµXVHOHVV¶FUHDWLRQVWRROVYHUVXV beads or figurines). Having the one, entails having the other. Combinatory principles applying to simple representations to imagine complex tools, will equally well apply to objects, lines, shapes, and colors, to yield other complex representations. What is useless at first will subsequently find a use. The driving force behind WKLVQHHGEHQRWKLQJPRUHWKDQ³SOD\´QRWGHHSHUWKDQZKDWRQHVHHVLQ kittens, bears or foals in a meadow: exploring their potential. 38 Leaping towards modernity Beads from Blombos Cave, South Africa, 70 ka BP Löwenmensch from Hohlenstein-Stadel, Europe, 30 ka BP 39 Combining away Thus, it is of no use to ask what such applications of recursion are good for from an evolutionary perspective. Once you are able to combine elements, you get the rest for free. A combinatory V\VWHPGRHVQ¶WVWRSKDOI-way. Consider, for instance, the number system. 3HDQR¶V axioms define the set of natural numbers and their properties as follows: 1. 0 is a natural number. 2. For every natural number x, x = x (reflexivity) 3. For all natural numbers x and y, if x = y, then y = x. (symmetry) 4. For all natural numbers x, y and z, if x = y and y = z, then x = z. (transitivity) 5. For all a and b, if a is a natural number and a = b, then b is also a natural number. (closure under equality) 6 For every natural number n, S(n) is a natural number. (closure under the successor function). 8QGHUWKHVHD[LRPVWKHQDWXUDOQXPEHUVDUHDOOµJLYHQ¶LUUHVSHFWLYHRIWKHLUQRWDWLRQRUWKHLUVL]H That is, a natural number that requires only 3 digits to write down in a decimal notation is no more given than a natural number that would require a trillion of digits to write down. One cannot discover new natural numbers, although one could in principle identify particular expressions as representing a natural number that has never been represented before (or not in that particular manner). And, of course, even if they are all given, as are their properties, this GRHVQ¶WHQWDLOWKDWDOOWKHLUSURSHUWLHVKDYHEHHQLGHQWLILHGDVDQ\VWXGHQWRIPDWKHPDWLFVLV40 only too well aware of). The leap towards modernity Summarizing the minimal requirements on mental representations needed for µmodernity¶ Hafting: combining on the basis of derived properties Strings of beads: a combination of objects created on the basis of abstract qualities Löwenmensch: combining elements into a representation of a non-existing object Commonality: A mental system that can hold complex representations formed by (free) combination and accesses properties beyond the initial appearance of an object. 42 An intermediate step or all the way towards modernity? Given the availability of operations on representations it is important to note that: ¾ What such operations can achieve depends on the elements in the analysis of representations. ¾ Distinguishing parts entails the possibility to play with recombination of such parts. ¾ Distinguishing borders between parts entails the possibility to recognize lines,which entails the ability to play with shapes, ultimately leading to drawing. ¾ Identifying surfaces between borders leads to the notion of colours, which in turn facilitates playing with colours, and ultimately leads to painting. 43 First generation imagination Assuming that an analysis of representations into lines and colours reflects an older/ independent evolutionary event: An increase in working memory capacity making it possible to hold and access complex representations formed by free (re-) combination of component parts is sufficient to yield a range of artistic achievements. 44 What 1st generation imagination can do Specifically, given such a system, the prerequisites are met to imagine paintings, from the famous bison in the Altamira cave +/- %3WR(VFKHU¶V2WKHU world from the first half of the previous century. 2UIURP+LHURQ\PXV%RVFK¶V+HOOWKHULJKWSDQHORI ³7KH*DUGHQRI(DUWKO\'HOLJKWV´IURPWKHODVW decade of the 16th FHQWXU\WRRQHRI6DOYDGRU'DOL¶V paintings of an egg, realized in an uncannily similar style almost 500 years later, all illustrated on the next slide. 45 What it can do! What it cannot do! A system restricted to representations derivative of objects cannot represent: That every hunter who saw it hit some bear that chased him. That the FKLHI¶V father told him yesterday that WRPRUURZ¶V hunt will probably be much better than his last hunt the year before. That the priest will probably like to have her first food at sunrise tomorrow morning. In order to express these we need a further step: Language 47 Evolution of language There is a lot of discussion about the evolutionary origins of language and why it evolved. Much of it uses notions based on adaptation and evolutionary advantage that are doubtful, such as freeing the hands of mothers taking care of their children (Falk 2004), a substitute for grooming (Dunbar 1998), etc. (See Fodor and Piatelli-Palmarini 2011 for some thought-provoking criticisms of the notion of adaptation, and the fierce reactions it evoked). E-coli bacteria, jellyfish, spiders, mice, deer, macaques, all survived so far quite nicely without language. Rather, reproduction goes with mutation, some clusters of properties are compatible with survival, others areQ¶W. Hence from one original population representing a ³gene pool´ different lines emerge showing different clusterings of 48 µGHviations¶Oeading to different paths towaUGµVpecialization¶ Diagnostics for Language? How can we determine whether some ancestor of ours had language? We find the following claim by archaeologists: The humans who inhabited Blombos &DYHLQ6RXWK$IULFDKDGµPRGHUQ¶RUµIXOO\V\QWDFWLFDOODQJXDJH¶VRPH 75,000 years ago (Henshilwood et al. 2004, 17±18). Botha (2010) however notes that the leap from µshowing symbolic behavior¶WR µhaving fully syntactical language¶- if that FRPHVGRZQWRµhaving language in our sense - is not warrranted. And, as we will see, this criticism is correct. Symbolic behaviour is a prerequisite but not enough. For an understanding of the evolution of language we must, for a starter: Develop a functional analysis of what is required for language as we know it (see Reuland 2010); Determine in what respects the mental resources needed for language go beyond what is needed for complex tools or ornaments. ± But parsimoniously, nature makes leaps, but not very big ones Determine how language bears on imagination. The next slide shows the prerequisites for this endeavor. 49 Language: Prerequisites Thought system (not specific to language): It includes an articulation (of the internal representation) of the world: Concepts (spear, fire, bear, hunt, haft, kill, warm, on,..) Events, temporal structure and participants ± -- (will) haft (the) head (onto the) spear ± The hunter killed the bear ± The hunter lit the fire Realization system (not specific to language): An articulation of events in an external medium into 50 discrete repeatable units: sounds, gestures« Defining language First approximation: A language is a systematic mapping of forms in some medium (sounds, gestures) and interpretations (instructions to change/update internal representations). In this form the definition is very broad, and covers much that we would not want to call language, at least not human language. Second approximation: A language is a systematic mapping of forms in some medium (sounds, gestures) and interpretations (instructions to change/update internal representations), based on a finite initial set of arbitrary form-meaning combinations (thus taking the Saussurean sign as a starting point as sketched on the next 51 slide - although this will turn out to be not quite sufficient). Relating forms and interpretations Elementary linguistic units (first approximation): Expressions in a medium that can stand for a concept/eventuality in an arbitrary form-meaning combination: ³Saussurean The expression concept of ³arbre´VWDQGVfor an arbitrary the concept/ sign´FRUH mental picture Arbre notion in a of a tree. naive conception of language) A current sketch The schema of the language system on the next slide (from Chomsky 1995) enables one to formulate issues sharply, and is so general that it should not be controversial. Comb LVWKHµcombinatory system of human language¶LQ Chomsky (1995) referred to Comb as the Computational System of Human Language (CHL), or just µsyntax¶ Syntax in the current sense is understood as the computational system effecting the form-meaning mapping, that is, connecting the Form interface with the Meaning interface, mediated by the lexicon. 53 Language as a systematic mapping of forms onto interpretations Form interface Meaning interface SensoriÅ CombÆ Interpretation Motor system system (system of thought) Lexicon - dedicated - dedicated A systematic form-meaning mapping The elementary form-meaning mappings are represented in the Lexicon. This does not imply anything about the size of these minimal combination. These may vary from elements such as ±ed standing for PAST when combined with a verb, articles such as the conveying definiteness, to composite verbs such as transform, to large units such as kick the bucket standing for DIE. In fact, without change in principle, elements could include templates/constructions LQWKHVHQVHRIµconstruction grammar¶ (Croft 2001). Much of the current discussion in linguistic theory centers on the question how rich this combinatory syntactic system is. A leading hypothesis in Chomsky (1995) and subsequent work is that it is in fact very limited: just the operations of Combine (Merge) and Compare (check), followed by property sharing (Agree) if there are properties (features) to be shared. A further important issue is to what extent the systems underlying language are specific to language, or whether language is just the result of general 55 systems applying to linguistic units. /DQJXDJH³VWDQGLQJIRU´ For the emergence of language, the core question is: What is the innovation underlying language, and to what extent does it go beyond what is needed for complex tools? With complex tools we have a combinatory system, a WM able to maintain mental representations through time and an ability to monitor progress. The sounds and gestures realizing language are part of the external world, but as such their representations are part of the ZRUOG¶V internal representation in the mind. Turning to the simple case of a sign, what we need is that one mental representation - the form ´arbre´ ± can stand for another mental representation, namely the concept TREE, and that the latter is handled by handling the former. The notion of standing for need not go much beyond what is needed for tool making. The mental representation used as a reference point in monitoring progress can be said to stand for a goal. But this reference point is still connected to something concrete, for instance a tool as it has been used earlier. One can still think of this earlier tool as acting as a reinforcement to keep the goal representation active. If so, a core innovation for language may well be what enables arbitrariness: The ability to keep representations active without outside reinforcement. In a nutshell: Internally produced stimili are treated on the same footing as external stimuli, 56 making them as effective in keeping the representation active. Requirements on memory system This leads to the following requirements on a (working) memory system: The ability to hold representations of abstract properties: satisfied by Blombos beads The ability to hold representations of two or more objects simultanuously. satisfied by the manufacture of complex tools. The ability to use and access internally produced representations on the same footing as representations produced in response to external stimuli (keeping internally produced representations sufficiently active). A requirement for effective imagination The ability to treat one representation D³form´reflecting an instruction to the motor system for realization) as standing for another representation (reflecting ³FRQWHQW´ quite possibly an independent innovation (but note how marginal in view of raisin+ochre +heat=glue) The ability to (efficiently) switch back and forth between the form and content modes of representation an independent innovation . A specific instantiation of this is the key innovation for language: A manipulation RI³form´representations can be the input for the formation of content representations. Piggybacking on the motor-system , this effectively leads to recursive combinability and interpretability of linguistic forms. 57 Reaching modernity Baddeley (2007, synthesizing previous work) presents an influential functional analysis of a memory system for mental representations, with four main components (see also the next slide): Visuo-Spatial sketch pad Phonological loop Episodic buffer Central executive Coolidge and Wynn (2005) interpret this from an evolutionary perspective. They propose the following factor as the crucial step towards modernity: Enhanced working memory (either a general increase in capacity, or an increase in the capacity of one of its subsystems, for instance WKHµphonological ORRS¶LQline with our preceding discussion, a very effective enhancement would be the capacity to store and manipulate representations both in their form and content mode, that is, to have coupled representions enabling efficient switch back and forth between these modes). They provide a systematic overview of potentially relevant mutations over the last 200 Kyears and their possible effects on the neural basis of our cognitive system (for 58 the details I refer to their paper). %DGGHOH\¶V0HPRU\0RGHO 59 From Coolidge and Wynn 2005 Structure building unleashed Given such a change in WM, allowing ³coupling´OHW¶V consider its effect on the capacity for language in more detail. The story goes in two steps. First of all, a core property of language is that its elements can be recursively combined into larger units that can be combined in turn into yet larger units. Informally: Comb may apply to its own output. Recursion unleashes combinability into its full potential (Hauser, Chomsky, Fitch 2005) (see Coolidge et al. 2011 for further instructive discussion). ¾ To have anything like language in our sense, such combination rules must be associated with interpretation rules that act on the resulting configuration. ¾ This is illustrated by two such configurations with their interpretations: - Modification configuration: [[Adjective brown] [Noun bear]] - Interpretation rule: sharing a property. - Predication configuration: [[Noun PhraseHector] [Verb Prase killed the bear]] - Interpretation rule: ascribing a property (of being a participant in an event) . See the next slide for a further illustration of modification and predication informally sketched in terms of sets and their membership. 60 Language is an intriguing phenomenon M odification: Take the intersection of the set denoted by the adjectival modifier (intriguing) and the set denoted by the common noun (phenomenon). Language Phenomena Intriguingt V intriguing phenomena Predication: The subject has the property denoted by the predicate (here reflected by the ascription of set membership). Mental time travel As we saw earlier, discussing the limits of 1st generation imagination, language does not only allow us to speak about the here and now, but also about past events and possibly future events, thus positioning such states of affairs on a dimension of time. Our imagination not only allows us to position such states of affairs on a dimension of time, but also to position our selves ± our awareness - in such states of affairs, HIIHFWLQJPHQWDOµWLPHWUDYHO¶Tulving (2002) identifies three factors ± three clues in his words ± WKDWSRLQWWRZKDWKHFDOOVµWKUHHFHQWUDOFRPSRQHQWVRID neurocognitive PLQGEUDLQV\VWHPWKDWPDNHVPHQWDOWLPHWUDYHOSRVVLEOH¶VHQVH of subjective time, autonoetic DZDUHQHVVDQGVHOI7KLVV\VWHPKHFDOOVµHSLVRGLF PHPRU\¶DVDQH[WHQVLRQRIµVHPDQWLFPHPRU\¶7KHGLIIHUHQFHEHWZHHQµHSLVRGLF PHPRU\¶DQGµVHPDQWLFPHPRU\¶LVWKDWHSLVRGLFPHPRU\LVRUJDQL]HGE\WLPH How to understand these in a parsimonious framework? What is the role of language with respect to the emergence of episodic memory? Is it a facilitator? Does it take a free ride? Or it is all part and parcel of the same development? 62 Time travel and language The crucial common factor is the possibility to access (internal) representations and manipulate them. For the emergence of a time axis, nothing more is needed than a WM able to retain that two events occurred in a sequence, and the subsequent organization of temporal sequentiality into a recursive structure. For a self nothing more is needed than the ability WRDFFHVVDQGPDQLSXODWHUHSUHVHQWDWLRQVRIRQH¶VRZQEHOLHIVWDWHV Subjective time MXVWUHTXLUHVSXWWLQJRQH¶VVHOIDVDQREVHUYHURIDSDVWRU future event. Autonoetic awareness is nothing more than the ability to LVRODWHDQGDFFHVVRQH¶VRZQEHOLHIVWDWHVMXVWDVµQRUPDO¶LQGHSHQGHQW objects. All reduce to (recursively) operating on internal representations. And, again, once an individual has one she has them all. The interesting question is how such operations depend on language. One intriguing possibility is that it is the availability of linguistic expressions that facilitates the operations involved in perspective change and time travel. However it is not trivial to subject this to empirical investigation. 63 Diagnostics for language It is unlikely that we would find in the archaeological record direct evidence for coupled representations as a diagnostic of the capacity for language. Perhaps, though, the following two properties could serve as proxies: i. ii. Arbitrary stand-for relations; Self-representation. Both are indicators of the availability of recursive operations on internal representations. Note: recursion in the relevant sense is a yes²no property of a system. So, one instance serves for all! 64 Propositionality Clearly, WM provides a sketchpad with only limited space even after µH[WHQVLRQ¶Extension can have the effect, however, that a new style WM can hold structures of a qualitatively different type. Crucial for human reasoning is the ability to maintain and manipulate propositional structures: structures that can be true or false (see Reinhart 2006 for discussion). Modification as in brown bear just yields a more precise description of an individual. Applying brown to bear retains an expression of the same type; applying a further modifier, such as dead just induces an incremental change. The expression The brown bear is dead is of a radically different sort than the expression the brown bear or the dead brown bear . Propositional structures minimally contain predicates and arguments, but the crucial factor linking them is predication, and the assertion that the relation expressed by the predication holds. To achieve this not only arguments and predicates, but also force of assertion, and a temporal dimension must all be simultaneously be represented and be available for the computation. 66 Nesting dependencies Characteristic of language is the prevalence of dependencies. Just like the interpretation of a composite expression depends on the interpretation of its component parts, the form of one expression may depend on the form of another expression. For instance, in many languages the form of the inflected verb depends on formal properties of the subject. In English, for example, we find I walk, but John walks. As objects of verbs, we find not only noun phrases, but also full sentences. As modifiers of nouns we find adjectives, but also full relative clauses. As modifiers of clauses we find not only adverbs, but also, again, adverbial clauses. These in turn contain noun phrases and modifiers, etc. So we find sentences within sentences, noun phrases within noun phrases, etc. The next slide illustrates recursion in full swing. The arrows indicate where further material could still be inserted, as in the light gray birds from the country that fails to protect them or are rapidly arriving in great numbers. Note the dependency between subject and inflected verb that has to be kept in memory over quite a distance. 67 Recursion in human language Structure S The birds1 S are1 arriving that the man2 S is2 recording I3 was3 watching S when « Dependencies galore We find a range of different types of dependencies in natural language. To mention just a few: There are agreement dependencies such as those between subjects and inflected verbs, and between adjectives and nouns, or Case-dependencies between verbs and their arguments (especially in languages with rich case marking systems). There are semantic dependencies between verbs and their arguments (for instance John worries is fine, but the rock worries is odd). There are dependencies between quantifiers and elements in their scope (consider a flag flew from every building ± how many flags?), and between pronouns and their antecedents ( Mary put the book beside her). Many of these dependencies may co-occur in one simplex or complex sentence, and our processing system has no problem handling them. One type of dependency is often singled out in discussions: namely nested dependencies, in which a category of a certain type is embedded in a 69 category of the same type, etc. See the next slide. Recursion DQGµFlattening¶ Since Chomsky and Miller (1963) it has become well-known that certain nested dependencies provide a problem for the human processing system, as illustrated in (1), which as anyone will see is difficult: (1) #The rat [the cat [the dog chased] hurt] died. This is occasionally used to argue that the human language system cannot really handle recursion. Such a conclusion is unjustified, however. The flattened counterpart of (1) in which the embedded relatives occur on the right presents no particular processing difficulties: (2) The rat died that the cat hurt whom the dog chased. Crucially, interpretively nothing has changed. The phrase WKDWWKHFDWDWH« still modifies the rat, the phrase whom the dog chased still modifies the cat and the interpretive system has to accommodate all that, and put the dislocated phrases right back in their proper place for interpretation purposes. Consequently, this flattening requirement can only reflect a property of a sub-part of the language processor ± specifically involving the memory system of forms - but cannot reflect a property of the 70 grammatical system per se. Beyond signs: function words Coming back to the nature of minimal units, not all minimal language forms fit the conception of a Saussurean sign. Some lexical elements are function words and represent instructions for interpretation rather than concepts. This reflects what appears to be a further core property of human language: desymbolization. We see desymbolization in many categories. Here it is illustrated in the use of determiners and prepositions. Consider : The determiner the in: [[Det the] [[Adjective brown] [Noun bear]]] arrived on the scene Interpretation rule: value the expression by a unique individual in the context of utterance. The preposition of in : [[Det the] [[Noun hunt] [Prep of [the bear]]] was succesful Interpretation rule: ascribe to the bear the role of a patient in the (hunting) event. In none of these cases does the lexical item represent a canonical concept. Such instructions for interpretation can be viewed as operations on forms or pairs of forms, effectively higher order interpretations. This comes down to expanding the domain of interpretations: internally generated (linguistic) objects can be treated as71 values, on a par with mental objects resulting from perception of the outside world. Recursion in a range of dimensions On the basis of a range of considerations we see that the formation rules of linguistic objects apply to their own output. We observe this in a range of domains, including syntactic structure, semantic structure and word formation: Structure: combinability applies to elementary and composite syntactic objects. Word formation: any piece of composite meaning can be squeezed into a word Arguments: anything from basic objects (cave), to properties of objects (warmth), events (work, hunt), properties of events (success), complex events (beautification), etc. can form a possible argument. Predicates: anything from a basic event description (eat), to a property description (beautify), to a noun (carpet), can be made into a possible predicate. Interpretation: anything from basic concepts to higher level instructions for interpretation may serve as a possible interpretation. Thus, we have meanings as mental objects reflecting the result of perception, but also as instructions applying to the formal representation of such objects, or instructions applying to such instructions, at infinitum. The hunter hoped he spotted a dear µWKHhunter¶DQGµhe¶refer to the same individual) 72 Every hunter hoped he spotted a dear µhe¶LVbound by the expression µevery hunter¶ Language: Imagination Unleashed The net effect of this recursive combinability in all domains, is that imagination is unleashed, and escapes from the easily imaginable. The immediate sources are the following properties: Syntactic categories are blind to type of concept The category Noun or Noun Phrase does not distinguish between the abstract (beauty) and the concrete ( rock, between individual (John), or mass (water), or even event ( attack). Interpretation rules are blind to sense or nonsense Modification treats brown bear on the same footing as square circle. Predication treats abstract nouns on the same footing as concrete nouns. Modification: [[Adjective brown] [Noun bear]] [[Adjective square] [Noun circle]] Interpretation rule: blindly imposes property sharing. Predication: [[Noun PhraseHector] [Verb Prase killed the bear]] [[Noun Phrase beauty] [Verb Prase killed the hunt]] 73 Interpretation rule: blindly ascribes a property. Freedom from the expected We form nouns and verbs as illustrated below: abstract or concrete, simplex or compound, behaving as dictated by their category, not by what is represented. Nouns: rock, spear, bear, circle, beauty, courage, zero, pi, humanities, hunt, walk, annihilation, antagonizationNLOOLQJ« Verbs: arrive, walk, hunt, make, beautify, antagonize, rock, spear, zero, DQQLKLODWHDQWDJRQL]HNLOO« Interpretation rules are not restricted by plausibility or by expectations. This leads us to the very foundation of human creativity, and puns (with profound implications for linguistic methodology): The interplay between what the rules give us, and what we expect to find. (as illustrated by the following notice near a waterfall in Chiapas, Mexico) 74 Language as a systematic mapping of forms onto interpretations The interplay of combination and interpretation allows us to first create novel combinations of forms, and then: apply fixed rules to determine the interpretation of these combinations (and note, if the effects of the rules were not fixed, they would not allow us to escape from the conventional). ( See also Hinzen (2008:xiii³7he point of ODQJXDJH«LV«DFWXDOO\WRIUHHRXUPLQGIURPWKHFRQWURORIWKHH[WHUQDO VWLPXOXV«´WKDQNVWR$QGUHD0RURSFIRUGUDZLQJP\DWWHQWLRQWR +LQ]HQ¶V remark). determine if there are objects or events, moods, emotions, or anything in our mental universe corresponding to them. This yields a new mode of imagination: the language lab, producing both science and poetry. 1st vs. 2nd generation imagination Applying fixed interpretation rules to combinations of expressions enables human imagination to transcend the initial boundaries of the imaginable. Thus language enabled the transition from a 1st generation imagination to a 2nd generation (and perhaps even higher orders of) imagination. 1st generation imagination: Manipulates representations of observable objects on visuo-spatial sketch pad in terms of primary properties (lines, surfaces, colours) 2nd generation imagination: - Manipulates derivative representations: combine forms freely, interpret the result by fixed rules, interpret with disregard for plausibility and then explore its possible uses ± from black to white holes, from natural numbers to imaginary numbers, from Euclidean to non-Euclidean spaces - Leads to the development of the formal languages of mathematics and theoretical physics, etc. - Leads to much of our societal superstructure, including Euro-crises, credit crunches, and management-induced stress. 78 Design features and real languages One of the recurrent themes in the study of languages is that of Unity versus variation. There is unity in the basic design features sketched (arbitrariness, recursion, word formation, meanings from concepts to meta-instructions, fixed blind interpretation rules - modification, predication, relation to discourse). In the superficial manifestations of language we see substantial variability: ± Sound systems: great variability (but within limits) ± Lexicon: no way to predict the meaning of a basic lexical element from its form or vice versa (except in a few cases of onomatopeia) ± Grammar: Variation in word order (compare English to Dutch, Russian, or Latin) Variation in richness of inflection (case, tense - English, Dutch, German, Russian, Latin),. Covert, versus overt scope marking, etc. ± Semantics, discourse: little variability (perhaps some) But: Whereever we see variation in language, there are also clear limits to the variation. 79 The design gap All this reflects two crucial issues: The division of labor between nature and culture in language. The gap between the functional design features and the actual design features of language as we know it. These lead to a more fundamental question: How flexible is the human mind in the face of the products of our own imagination? Can we cope with everything our imagination can produce? What can we say about our limitations in this respect? Model: Our ability to handle invented languages. Aims: - understanding the design gap - language as a model for the general issue Design features and word order There is a tension between unity and variation. Are there restrictions on grammars that GRQ¶W follow from the design features? We can take two facts as a starting point: Fact 1: Languages use differences in word order to mark how an expression is to be used (for instance as an assertion or a question, and in the latter case to identify what type of information a proper answer should provide). Fact 2: The design features we identified GRQ¶W restrict the relation between word order and interpretation. These two facts give us two options: 1. All possible operations on word order are in fact permissible 2. The possible operations on word order are restricted. 81 The question is, then, what is the case? Restrictions on word order This leads to the debates on language universals. Newmeyer, who adopts a neutral position in the debate, finds at least the following universals in operations on word order (rephrased from Newmeyer 2005:4) Universal 1: Languages cannot µcount past two¶no syntactic process refers to µthird ZRUG¶µfourth ZRUG¶etc Universal 2: In no language can a syntactic process be sensitive to the sound properties of an element (e.g. passive formation restricted to verbs that end in a consonant cluster) Both universals can be expressed somewhat differently, as in Chomsky (1986): Gra mm atical operations are structure dependent Informally: Operations DUHQ¶W defined on µlinear strings¶but obey natural groupings of words, as in: (1) The scientist explained the problem versus (2) The problem was explained But (1) is never mapped onto: (3) *Problem was scientist explained the 82 7KHUHVHDUFKHU¶VWDVNLVWRGHWHUPLQHLQGHWDLOZKDWQDWXUDOJURXSLQJVDUH An example: questions Many languages form yes-no questions by a putting a verbal element in initial position, some do so just by intonation, etc. (Friedman 2002) English: Miri draws a portrait Q: Does Miri draw a portrait? Hebrew: Miri mecaryeret portret. Q: Miri mecaryet portret? (only intonation) No language forms yes-no questions by systematically putting the verb after the third word as in: *Language X (rendered by glossing): The man from Siberia drew a portrait Æ Q: The man from drew Siberia a portrait? The old man from Siberia drew a portrait Æ Q: The old man drew from Siberia a portrait? The rule is quite simple. Yet,it seems crazy. But why? 83 Informally: it is a crazy rule since it disregards natural groupings A Question What happens if imagination enters the picture? We can imagine such a crazy µOLQHDU¶ODQJXDJH. I just did! What is, then, the status of the fact that we find no language that does it that way? &RXOGQ¶W that be accidental? The ancestor of current surviving human languages GLGQ¶W have this property, hence no living language has it? If so, we GRQ¶W have to look for further language specific design features. How can we choose between accident and design property? There is a way to test this: See what happens if we teach human subjects a language with rules that violate this structure dependence. This leads again to the general issue: How free is the human mind in coping with systems that come from its (= our) own 84 drawing board? Invented languages The claim that structure dependence is a fundamental design property of human language, coupled with the fact that language acquisition is only possible given a UHVWULFWLRQRQSRVVLEOHJUDPPDUVDUHVWULFWLRQRQWKHµVSDFHRIK\SRWKHVHV¶WKDWFDQEH considered by the language learner) and that this hypothesis space better reflect the fundamental design properties of language, together make a clear prediction: Languages violating structure dependence should not be learnable in the same way as natural languages. More specifically, while language acquisition is by and large independent of general intelligence, to the extent in which rules of language violating structure dependence can be acquired, this should be sensitive to general intelligence. Exploring this prediction started a line of research comparing the acquisition and processing of artificial languages with those of natural language. It is such investigations that may help us close the design gap by relating identifiable87 general properties of language to the working of the structures subserving language. Processing invented languages Currently available brain imaging techniques (measuring on-line changes in activation and/or location of brain processes) reveal much abut the resources used in language processing. In view of this our current knowledge allows us to make predictions about the way non-structure based dependencies are processed. A brain area that lesion studies have shown to be involved in the processing of OLQJXLVWLFGHSHQGHQFLHVVXFKDVGLVORFDWLRQVµPRYHPHQWV¶DVLQWKHIRUPDWLRQRI questions or passives) is %URFD¶V area (see Grodzinsky 2000, Avrutin 2001 for overviews). Its role is not limited to language; for instance it is also involved in the processing of music. However, what is common to the dependencies which it has been shown to be involved in so far, is that they are structure based. The question is then what happens if subjects are taught a language with some nonstructure based dependencies. The prediction is that the processing of such non-structure based dependencies will not involve %URFD¶V area. A further prediction is that if %URFD¶V DUHDSURYLGHVWKHµEHVW¶ routines for the processing of dependencies, such non-structure based dependencies, once acquired, will require more effort, and be processed less efficiently. 89 An experiment An experiment to this effect was carried out by Musso et al. (2003). In this experiment native speakers of German were taught Italian (in fact the experiment was also FRQGXFWHGIRU-DSDQHVHDVDWDUJHWODQJXDJHEXWIRUEUHYLW\¶VVDNH,ZLOOOLPLW discussion to Italian). One group was taught standard Italian, the other group was taught a variety of Italian with some non-VWUXFWXUHEDVHGGHSHQGHQFLHV+HUH,ZLOOUHIHUWRWKLVYDULHW\DVµOLQHDU ,WDOLDQ¶ Both varieties of Italian had the standard property of being a null-subject language (unlike German). Also passives were formed in the standard way: with the auxiliary essere as compared to German werden, and with da translating von, as in Die Birne wird von mir gegessen versus La pera è mangiata da mè. Both varieties had the finite verb in post subject position as opposed to the final position of the German verb in subordinate clauses. Musso et al. used fMRI (functional Magnetic Resonance Imaging) to determine the brain structures involved. The basis of this technique is that there is a relation between brain activity and the oxygen demand in an area. This is reflected in the so-called BOLD signal (Blood Oxygen Level Dependent signal) which can be measured. This 90 LQGLUHFWO\DOORZVRQHWRGHWHUPLQHµZKHUHWKHDFWLRQLV¶ Real versus linear Italian The experiment is summarized below: Two groups of German speaker were tested on the following tasks: - acquisition and processing of real Italian - acquisition and processing of linear Italian German vs Real Italian : Three standard characteristics Null-subjects Ich esse die Birne vs. Mangio la pera Passive wird «von «vs. è «GD« Subordinate word order dass Paul die Birne isst vs. que Paolo mangia la pera Linear Italian: Three non-structure dependent rules Negation: negative no after 3rd word of the sentence Yes-no questions: invert the order of the words of the sentence Indefinite article: gender form of the article determined by the last noun of the sentence, not by the noun it µbelongs to¶ 91 Examples are given on the next slide. Processing linear Italian Linear Italian (Musso et al. 2003) : Negation: negative no after 3rd word of the sentence Paolo mangia la no pera| Paola ha mangiato no la pera Question: invert the order of the words Paolo mangia la pera Æ pera la mangia Paolo Paolo ha mangiato la pera Æ pera la mangiato ha Paolo Use of indefinites: grammatical form determined by last noun of the sentence: Un ragazza ama un ragazzo | una ragazzo ama una ragazza Results: Subjects acquired linear Italian quite well, but processing was significantly slower. Processing experiment (fMRI ) The results show a significant correlation between the increase in BOLD signal in the left inferior frontal gyrus (%URFD¶V area) and the online performance for the real but not for the unreal language learning tasks. This indicates that the acquisition of new linguistic competence in adults involves a brain system that is different from that involved in grammar rules that violate [principles of] Universal Grammar, and that this system is less efficient in carrying out its task. This result is important since, prima facie, non-structure dependent operations are very simple. Their workings depend on immediately observable properties of the strings involved. Thus, what is simple on the drawing board need not be simple for the brain. 92 Language and beyond Summarizing: We can imagine linear - superficially economical ± languages, and investigate how our cognitive system copes with them. The comparison of the savant Christopher with controls (Smith and Tsimpli 1995) shows that: Our ability to acquire linear dependencies involves general intelligence, rather than the dedicated language faculty. The comparison between Real Italian and Linear Italian (Musso et al. 2003) shows: Our ability to process natural versus linear languages involves different brain structures. Furthermore, linear languages are not processed as efficiently as natural languages. Crucial consequence: Drawing board simplicity need not correspond to a simplicity that is effective for the human mind. In turn this shows that there are limits to the freedom of our minds to deal with the results of our own imagination. Does this apply to all drawing board languages? Not necessarily. An invented language such as Esperanto can work since it is organically designed. It is based on principles 93 found in natural language, and therefore reflects ³natural economy´ Overview Discussion of imagination: down-to-earth view ± recursive operations on mental representations; 2nd generation imagination mediated by language Different types of tool making put increasing demands on memory resources (complex hafting) Pieces of art place demands on memory resources ± necessary, but not sufficient for language Language and its prerequisites - abitrariness & coupled handling of form and meaning: crucial innovation Non-linguistic diagnostics for language (?) The gap between functional design features and what we know about the structure of language: investigating the role of the 94 neural structures subserving language Thank you! Discussion References 1 Pictures Blombos Cave: Archeologie-Nieuws.nl, and various further sources for other pictures (only the waterfall is my own). Baddeley, Alan. 2007. Working memory, thought and action. 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