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Key Concepts: Visual and Narrative Models of Important New Thinking
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FRAME: Complex Adaptive +-(0%.#%:#!?90.&99&9#-.,#1%.9?<&'9#(2-(#"%?#-,-;(#(%#
Systems
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Harnessing Complexity
#
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by Robert Axelrod and Michael D.
Cohen
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Components
of the Model
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Following
is a list and brief description of the components of the model
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An
Agent
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An
agent is an individual “actor” in a complex!"#!$%"&2*
environment. Normally we
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think
of
people
as
agents,
but
families,
businesses
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also
be considered agents. Trees, birds and insects are some of the agents
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the complex system we
call “a forest”. An agent has the ability to
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interact
with
its
environment,
and with other agents in the environment.
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An
agent can respond to what happens around it and can do things more
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or(2&#-8&.(N9#
less purposefully. (A rock, then, would not qualify as an agent in the
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forest
ecosystem because it cannot respond to 6%0*.4%#+,
what happens around it.)
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Type of Agent
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can differentiate between “types” of agents using a variety of criteria.
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We might want to differentiate schoolchildren into “shy” and “aggressive”
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types. Or we may prefer to categorize them by hair color, or reading skill,
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or athletic ability. An agent is part of the same population if it can use the
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same
strategy that is being employed by another agent.
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A# Population of Agents
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The
concept of a population or collection of agents is important for three
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reasons.
First, by being part of a population, an individual (agent)
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increases
the number of possibilities for learning new and successful
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strategies.
Second, a population can serve as the recipient for a newfound
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improvement.
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which
an agent lives. For example, as a business manager, you can learn
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from
the population of managers who face similar problems, you can
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spread
what you have learned to a population
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see
your company as one part of a population of businesses and
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consumers
that you adapt to even while they adapt to you.
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Strategy
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Every
agent has goals and employs strategies to pursue them. An
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worker will do the same in return. Someone in need of
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money might ask friends for a small loan. These are
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strategies.
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The strategies that an agent uses will change over time.
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One source of change is the agent’s understanding about
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how well a particular strategy is working. If a child learns
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that whining never gets him what he wants, he will
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(eventually) search for other strategies to attain his goals.
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Agents also learn new strategies by copying the
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successful strategies that they observe in others.
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Key
Concepts:
Visual
and
Narrative
Models
of
Important
New Thinking
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($!%-0$%-2(&#$,9%(09&'1%("%&!*0"#$%()$!6$,#$6%
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Variation%
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P-'0-(0%.#1-.#
)(-41"51&"6-'7-%8"-.'/,#"0-)*+,%&1"-!23%"/3As strategies
are copied and shared through a population,
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%11?'#(2'%?82#
95+/"6'5:some variation
will occur. Variation serves to increase the
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>!"#$%&/%"7%-%'()*#%+,"7%%+-#&/%+6$%()$&0%&%)(%#"*#&/%
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diversity &'%*-(($0'$8%*$%#)(.%*/$/%5&()%$-2)%"()$0%-'8%5&()%
of the population of strategies. Variation can occur
"7%()$%6+22$667+,%6(0-($1&$6%$!*,"9$8%39%"()$0% through mutation (where part of the strategy is changed
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because of
error), migration (where new agents with new
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strategies
move
into the population), or through combination
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(where
two
or
more
successful strategies are blended to create
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a
new
strategy).
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Selection
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-'2$%"7%()$%&'8&#&8+-,%-1$'(%-22"08&'1%("%&(6%"5'%
With all of the diversity created by variation, agents will be
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forced to choose strategies that appear to be successful. This
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will mean that less successful strategies will “die out” as fewer
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and fewer agents choose them. This is a form of “selection” by
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which successful strategies are copied and employed while
less successful strategies are left to die out. Selection takes
place through either trial-and-error or imitation of the
successful strategies employed by other agents. This tends to
reduce variation.
%
Adaptation
When the selection process leads to an improvement
according to some measure of success (goal), we call this
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adaptation. Adaptation increases the performance of the
individual agent according to its own success criteria.
Because the success criteria might be different for different
agents, a particular selection or change might be an adaptation
for some agents but not for others.
Complex Adaptive System
A “system” includes one or more populations of agents and all of the
strategies that those agents employ. A “complex” system is one in which
the actions of agents are tied very closely to the actions of other agents in
the system. When the agents in a system are actively trying to improve
themselves (“adapt”), then the system is a Complex Adaptive System.
An Overview of the Complex Adaptive Systems Framework “Agents, of a
variety of types, use their strategies, in patterned interaction, with each
other and with artifacts. Performance measures on the resulting events
drive the selection of agents and/or strategies through processes of errorprone copying and re-combination, thus changing the frequencies of the
types within the system.”
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