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Company Wilson / Texas Instruments / / Country United States / Netherlands / / / Facility University of Michigan / / IndustryTerm co-evolution algorithm / gross national product / genetic algorithm / classifier systems / hierarchical co-evolution algorithm / dilemma using genetic algorithms / symbolic processing / Genetic algorithms / neural networks / symbolic solution / conventional genetic algorithms / parallel mathematical algorithms / basic genetic algorithm / conventional string-based genetic algorithm / search space / genetic classifier systems / / Organization the University of Michigan / Stanford University Stanford / / Person O. It / John Holland / / / Position first player / minimax second player / evading player / given player / competent player / pursuing player / choice player / player / particular player / moving player / / ProgrammingLanguage LISP / / ProvinceOrState California / Michigan / / Technology BACKGROUND ON GENETIC ALGORITHMS Genetic algorithms / basic genetic algorithm / conventional genetic algorithms / artificial intelligence / dilemma using genetic algorithms / hierarchical co-evolution algorithm / conventional string-based genetic algorithm / genetic algorithm / BACKGROUND ON CO-EVOLUTION AND GENETIC ALGORITHMS / machine learning / parallel mathematical algorithms / recombination / co-evolution algorithm / / SocialTag 
1 EVOLUTION AND CO-EVOLUTION OF COMPUTER PROGRAMS TO CONTROL INDEPENDENTLY-ACTING AGENTS John R. Koza Computer Science Department