Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 51st Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 1W2-4
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Host: The Institute of Systems, Control and Information Engineers

On Generation Alternation Models for Designing Autonomous Agents with Genetic Programming
*Naoki Tsutsui, Yuta Majima, Nobuhiro Matsuda, Norihiko Ono, Yoshio Mogami
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Keywords: genetic programming, generation alternation models, code bloat, autonomous agents, machine learning
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Abstract
Aimed at the establishment of Genetic Programming(GP)-based emergent systems design schemes, we have proposed a new framework of GP that can resolve one of the critical problems in GP i.e. the problem of explosive increase of complex individuals in the population. In this article, we discuss the potentials and limitations of the proposed framework through its application to the two-dimensional hockey game.
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© 2007 The Institute of Systems, Control and Information Engineers
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