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The Science of the Artificial ch. 1

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The Science of the Artificial ch. 1 Charles Reid 1/5/2005 What This Chapter Is About Tells us what the book should be about A means for relating natural law and human ... – PowerPoint PPT presentation

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Title: The Science of the Artificial ch. 1


1
The Science of the Artificial ch. 1
  • Charles Reid
  • 1/5/2005

2
What This Chapter Is About
  • Tells us what the book should be about
  • A means for relating natural law and human
    purpose
  • Symbol systems (the human version)
  • Provides some context
  • What is an artifact?
  • Why do we create them?
  • How can they be characterized?
  • How might we study them?

3
Artifacts
  • An artifact is something thats man-made
  • We live in a man-made world
  • Artifacts are not apart from nature
  • They embody natural law and human purpose
  • Distinction between artificial and synthetic
  • Engineering is concerned with synthesis
  • Indications of artifacts (pg. 5)
  • Artifacts are synthesized
  • Artifacts may imitate appearance but may lack the
    reality
  • Artifacts characterized by functions, goals,
    adaptation
  • Artifacts are discussed imperatively as well as
    descriptively

4
Exploring Artifacts
  • Fulfillment of purpose or adaptation to a goal
  • Look at the purpose or goal, the character of the
    artifact, and the environment the artifact
    operates in
  • Artifact as interface
  • Inner environment
  • Organization of natural phenomena capable of
    attaining goals
  • Outer environment
  • Determines conditions for goal attainment
  • Functional explanation
  • Based on outer environment and observable
    behaviors of the artifact

5
Simulation
  • We use simulations to gain understanding of the
    imitated system
  • Can a simulation tell us something we didnt
    already know?
  • Based on known assumptions
  • Computer only does what we tell it to do

6
How to Study Computers
  • Computers as artifacts
  • Use a functional explanation based on outer
    environment and observable behavior
  • Computers as abstract objects
  • Abstractions for components only need to capture
    the nature of the components and not all of the
    implementation details
  • Computers as empirical objects
  • Most of them have the same basic components and
    there are enough of them in existence today that
    they could be studied empirically
  • Computers as thought
  • Computers are roughly organized in fashion
    similar to humans processor, memory, I/O
  • Could we learn something about human behavior
    from computers?

7
Symbol Systems
  • Symbol Systems can create, copy, destroy, modify,
    and collect symbols.
  • They are goal seeking information processing
    systems
  • Computers are symbols systems as is the human
    mind
  • Simon hypothesizes that human symbol systems have
    sufficient and necessary means for general
    intelligent work.
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