Creativity 11

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    Cognitive Approaches to

    CreativityLife offers many problems for which our textbooks fail to

    supply solutions. In this way problem situations differ from

    those in school []. We learn many answers in school, but

    life doesnt ask the right questions. This is where problemsolving becomes more basic than memorisation.

    What is creativity?

    Cognitive modelsA symbolic model

    A connectionist model

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    Describing creativity

    P(sychological)-creativity vs H(istroical)-

    creativity (Boden, 1990)

    Productive vs reproductive problem solving

    (Gestalt: Wertheimer, 1982)

    Convergent vs divergent thinking (Hudson,

    1968)

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    P- and H-creativity Boden, 1990

    Creativity depends on perspective Psychological creativity: creative from

    perspective of the individual

    finding a new way to get to university

    working out what presents to buy people for

    Christmas

    Historical creativity: creative from perspective

    of society designing the Millennium Bridge

    writing a research article

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    Reproductive vs Productive ProblemSolving

    Gestalt (Wertheimer, 1982)

    Reproductive problem solving: using old and familiar

    knowledge and ways of thinking to solve a problem

    Productive problem solving: doing something new

    Weisberg, 1993, 1995

    Continuous thinking (reproductive)

    Discontinuous thinking (productive)

    Problem restructuring (productive)

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    MARGIE, MOPs, or XPs? A

    symbolic cognitive model.Schank and Cleary, 1995

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    Bottom up solution MARGIE (Rieger, 1975)

    Principles Search through all possible

    reasons for an action.

    Combine these in all possible

    ways

    Identify those combinations of

    reasons that explain the action

    being considered

    Performancee.g., John hit MaryJohn

    wanted to be hit. He wanted Mary

    to be mad at him so Mary would hit

    him. So he hit her

    Problems

    Very slow

    Combinatorial explosion

    No learning

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    Top down solution: SAM (Schank & Abelson,1977) and MOPS (Schank, 1982)

    Principles

    SAM = Script Applier Mechanism,

    MOP = Memory Organisation

    Package

    The system applies a set of

    expectations (Scripts or, more

    sophisticated, MOPS) based on

    previous knowledge, to a

    particular scenario, and makes

    inferences about information that

    is not stated explicitly in the story.

    Performance

    Infers Mary ordered her meal,

    Mary ate her meal etc.

    Identifies Mary left a big tipas anomalous

    Fast

    Problems

    cannot explain why Mary left a

    big tip

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    Only use bottom up when top downfails

    Principles

    Apply knowledge structure (i.e.

    apply MOPS: top down

    processing)

    If top down process fails to find

    explanation then apply bottom up

    process (i.e. MARGIE)

    Performance

    Will interpret typical (not-

    unusual) stories quickly

    Knows when bottom upprocesses are needed

    Problems

    bottom up process will still

    have all the problems

    associated with MARGIE

    (slow, computationally

    expensive etc.)

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    Top down processing, with applicationof XPs to handle anomalies

    Principles

    XP=explanation package:

    XP is a frozen explanation - pre-packaged chain of

    inferences that can be used to explain a specified anomaly Three stage process:

    Detect an anomaly (situation not handled by existing

    MOPS)

    Find explanation by applying XPs Learn from explanation (generate and store new MOPS

    and XPs)

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    Creative explanation: Detection andexplanation

    characteriseanomaly and

    developquestion

    search for XP toanswer question

    found?

    NO

    restructureexplanation

    apply XP togenerate anexplanation

    testexplanation

    does itwork?

    YESgo to learnprocedure

    YES

    NO

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    Creative explanation: Learning

    expectation failure andexplanation

    found?

    NO

    YES

    search memory for similarexpectation failure

    create new MOPfrom failure and

    explanation

    store failure with explanation

    if explanation results fromrestructuring

    generate and store anew XP

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    Schank and Cleary, Summary:

    Intelligent misuse of knowledge

    process is relatively simple, but success

    depends on existing knowledge (how manyrelevant MOPS and XPs are present in the

    systems knowledge base)

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    Summary

    A lot of everyday cognitive tasks can be though of ascreative

    Symbolic models

    decompose creative problem solving into sub-

    tasks and suggest processes by which these mightbe achieved. Maybe some pedagogic use.

    Network (connectionist) models

    Are more parsimonious

    Explain how more fundamental, lower level cognitive

    processes might result in the behaviours that we label as

    creative