Evolving hierarchical and recursive teleo-reactive programs through genetic programming

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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. © Springer-Verlag Berlin Heidelberg 2003.

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Kochenderfer, M. J. (2003). Evolving hierarchical and recursive teleo-reactive programs through genetic programming. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2610, 83–92. https://doi.org/10.1007/3-540-36599-0_8

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