The evolution of memory and mental models using genetic programming

Authors:
Scott Brave
Affiliations:
Stanford University, Stanford, California
Venue:
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Year:
1996

Citing 3
Cited 0

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Abstract

This paper applies genetic programming to the evolution of intelligent agents that gradually build internal representations of their surroundings for later use in planning. The method used allows for the creation of dynamically determined representations that are not predesigned by the human creator of the system. In an illustrative path-planning problem, evolved programs learn a model of their world and use this internal representation to plan their successive actions. The results show that the proposed method is successful in evolving programs that solve the planning problem and is thus a worthy basis for further investigation.