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Events, causality, and the frame problem (1986)

Author: Michael P Georgeff; Stanford University.; Stanford University. Board of Trustees.; Morgan Kaufmann (Firm)
Publisher: [Stanford, Calif.] : Board of Trustees of the Leland Stanford Junior University ; San Mateo, Calif. : Distributed by Morgan Kaufmann Publishers, [1986?]
Series: Stanford computer science video journal., Artificial intelligence research lectures.; AI lectures.
Edition/Format:   VHS video : VHS tape   Visual material : EnglishView all editions and formats
Database:WorldCat
Summary:
This lecture examines some representations of events and actions to see how the "frame problem" manifests itself. Georgeff discusses classical models of action and presents a new model of action suited to reasoning about dynamic domains. Notions of independence and causality are introduced, and it is shown how these can be used to determine the effects of actions and the persistence of world properties. In  Read more...
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Details

Material Type: Videorecording
Document Type: Visual material
All Authors / Contributors: Michael P Georgeff; Stanford University.; Stanford University. Board of Trustees.; Morgan Kaufmann (Firm)
ISBN: 0934613796 9780934613798
OCLC Number: 29550657
Notes: Videotaped at Stanford University.
Description: 1 videocassette (57 min.) : sd., col. ; 1/2 in.
Details: VHS format.
Series Title: Stanford computer science video journal., Artificial intelligence research lectures.; AI lectures.
Responsibility: Michael Georgeff.

Abstract:

This lecture examines some representations of events and actions to see how the "frame problem" manifests itself. Georgeff discusses classical models of action and presents a new model of action suited to reasoning about dynamic domains. Notions of independence and causality are introduced, and it is shown how these can be used to determine the effects of actions and the persistence of world properties. In particular, Georgeff shows how many of the difficulties associated with the frame problem can be avoided with such a multiagent formulation.

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