Evolving hierarchical and recursive teleo-reactive programs through genetic programming

Authors:
Mykel J. Kochenderfer
Affiliations:
Department of Computer Science, Stanford University, Stanford, California
Venue:
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Year:
2003

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Abstract

Teleo-reactive programs and the triple tower architecture have been proposed as a framework for linking perception and action in agents. The triple tower architecture continually updates the agent's knowledge of the world and evokes actions according to teleo-reactive control structures. This paper uses block stacking problems to demonstrate how genetic programming may be used to evolve hierarchical and recursive teleo-reactive programs.