Evolution of emergent cooperative behavior using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InCollection{koza:1994:eecb,

• author = "John R. Koza",
• title = "Evolution of emergent cooperative behavior using genetic programming",
• booktitle = "Computing with Biological Metaphors",
• publisher = "Chapman \& Hall",
• year = "1994",
• editor = "Ray Paton",
• pages = "280--297",
• address = "London, UK",
• keywords = "genetic algorithms, genetic programming, emergent behavior, painted desert problem, independent agents, artificial ants, cooperative behavior, crossover, recombination",
• ISBN = "0-412-54470-9",
• URL = "http://www.genetic-programming.com/jkpdf/paton1994.pdf",
• URL = "https://www.amazon.co.uk/Computing-Biological-Metaphors-Ray-Paton/dp/0412544709",
• abstract = "The recently developed genetic programming paradigm provides a way to genetically breed a computer program to solve a wide variety of problems. Genetic programming employs Darwinian survival and reproduction of the fittest and the genetic crossover (sexual recombination) operation to evolve progressively better solutions to problems. In this chapter, a computer program that governs the behaviour of a group of independently acting agents is genetically evolved to solve the painted desert problem. The evolved program exhibits emergent and cooperative behavior.",

}

Genetic Programming entries for John Koza

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