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Knowledge Representation for Self-Aware Computer Systems

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Knowledge Representation for Self-Aware Computer Systems Stuart C. Shapiro Department of Computer Science and Engineering, and Center for Cognitive Science – PowerPoint PPT presentation

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Title: Knowledge Representation for Self-Aware Computer Systems


1
Knowledge Representation forSelf-Aware Computer
Systems
  • Stuart C. Shapiro
  • Department of Computer Science and Engineering,
  • and Center for Cognitive Science
  • University at Buffalo, The State University of
    New York
  • 201 Bell Hall, Buffalo, NY 14260-2000
  • shapiro_at_cse.buffalo.edu
  • http//www.cse.buffalo.edu/shapiro/

2
What Must a KR Have?
  • A term to represent itself.
  • For beliefs about beliefs
  • terms for beliefs
  • reified beliefs.
  • Term for self not inherently indexical
  • Else error of
  • Knows(a, P(self)) gt P(self)
  • So, extra-logical I register

3
What Must a KR Have?
  • Terms for acts
  • For memory of past acts
  • Model of time
  • Extra-logical NOW register
  • To distinguish Im doing from I did
  • Way to distinguish durative
  • from punctual acts.

4
Existing KR Languages
  • FOL Sufficient
  • Issue is domain design of functional terms.
  • E.g. reified agents, propositions, acts, times,
  • SNePS
  • Modal logics not needed if do above.
  • Non-monotonic logics Independent issues
  • Unless can have self-awareness
  • without memory of past acts
  • and dont want a model of time.

5
Place of Mind-BodyConnections
  • Need both
  • mind to body
  • and body to mind
  • for intelligent systems.
  • SNePS has both.
  • But its body to mind that gives self-awareness.

6
Research Issues
  • Not what a KR language can represent,
  • but where the beliefs come from.
  • Architecture s.t. the mind is aware of the body.
  • I.e. that inserts beliefs into the mind
  • from the body.
  • Awareness of reasoning?
  • Reasoning is acting!
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