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Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming

Mykel J. KochenderferContact Information

(6)  Department of Computer Science, Stanford University, 94305 Stanford, California
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.

Contact Information Mykel J. Kochenderfer
Email: mykel@cs.stanford.edu
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