(Enter summary)
Abstract: . This paper presents the emergence of the cooperative behavior for multiple
agents by means of Genetic Programming (GP). For the purpose of evolving
the e#ective cooperative behavior, we propose a controlling strategy of introns,
which are non-executed code segments dependent upon the situation. The traditional
approach to removing introns was able to cope with only a part of syntactically
defined introns, which excluded other frequent types of introns. The validness
of our approach is... (Update)
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BibTeX entry: (Update)
@inproceedings{ iba00controlling,
author = "Hitoshi Iba and Makoto Terao",
title = "Controlling Effective Introns for Multi-Agent Learning by Genetic Programming",
booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2000)",
month = "10-12",
publisher = "Morgan Kaufmann",
address = "Las Vegas, Nevada, USA",
editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
isbn = "1-55860-708-0",
pages = "419--426",
year = "2000",
url = "citeseer.ist.psu.edu/327113.html" }
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