Evolutionary Computation: Toward a New Philosophy of Machine IntelligenceIEEE Press, 1995 - 272 էջ The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. |
Բովանդակություն
NATURAL EVOLUTION | 37 |
COMPUTER SIMULATION | 67 |
THEORETICAL AND EMPIRICAL PROPERTIES | 121 |
Հեղինակային իրավունք | |
8 այլ բաժինները չեն ցուցադրվում
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Common terms and phrases
adaptive analysis Artificial Intelligence Atmar Bäck best-evolved bit mutation bit strings Bremermann cart-pole system chromosome coding components Conf Davis defection described distribution dynamic parameter encoding edited environment error evaluated evolution strategies evolutionary algorithms evolutionary computation Evolutionary Programming evolved experiments Figure finite state machines Fogel gene Genetic Algorithms genotype global optimum Holland indicates individual initial input intelligent behavior inversion iterated Jong learning Markov chain matrix Mayr mean method Morgan Kaufmann move mutation mutual cooperation natural selection neural network number of failures observed offspring operators organisms parents payoff function perceptron performance phenotypic play player pleiotropy pole population possible prediction probability Proc procedure random mutation random variable randomly recombination reproduction response surface San Mateo Schaffer Schraudolph and Belew Schwefel score sequence simple simulation solutions specific standard deviation symbols tion transition two-point crossover uniform crossover vector X₁