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AAAI 1993

Projective Visualization: Acting from Experience

Conference Paper Case-Based Reasoning Artificial Intelligence

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 succeed 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).

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
1079970832481822190