Projective visualization: acting from experience

Authors:
Marc Goodman
Affiliations:
Cognitive Systems, Inc., New Haven, CT and Computer Science Department, Brandeis University, Waltham, MA
Venue:
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Year:
1993

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Abstract

This paper describes Projective Visualization which uses previous observation of a process or activity to project the results of an agent's actions into the future. Actions which seem likely to sueceed are selected and applied. Actions which seem likely to fail are rejected, and other actions can be generated and evaluated. This paper presents a description of the architecture for Projective Visualization, preliminary results on learning to act from observations of a reactive system, and a comparison of two types of Case Projection (how situations are projected into the future).