CiNii 図書 - Adaptation in natural and artificial systems : an introductory analysis with applications to biology, control, and artificial intelligence

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. "Adaptations in Natural and Artificial Systems" is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of co-adaptation and co-evolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide innovations and improvements.

Part 1 The general setting: preliminary survey
a simple artificial adaptive system
a complex natural adaptive system
some general observations. Part 2 A formal framework: discussion
presentation
comparison with the Dubins-Savage formalization of the gambler's problem. Part 3 Illustrations: genetics
economics
game-playing
searches, pattern recognition, and statistical inference
control and function optimization
central nervous systems. Part 4 Schemata. Part 5 The optimal allocation of trials: the 2-armed bandit
realization of minimal looses
many options
application to schemata. Part 6 Reproductive plans and genetic operators: generalized reproductive plans
generalized genetic operators - crossing-over
generalized genetic operators - inversion
generalized genetic operators - mutation
further increases in power
interpretations. Part 7 The robustness of genetic plans: adaptive plans
the robustness of plans
robustness vis-a-vis a simple artificial adaptive system
robustness vis-a-vis a complex and natural adaptive system
general consequence. Part 8 Adaptation of codings and representations: fixed representation
the "Broadcast Language"
usage
concerning applications and the use of genetic plans to modify representations. Part 9 An overview: insights
computer studies
advanced questions. Part 10 Interim and prospectus: in the interim
the optimal allocation of trials revisited
recent work
possibilities.

巻冊次: : pbk ISBN 9780262581110

内容説明

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.

Part 1 The general setting: preliminary survey
a simple artificial adaptive system
a complex natural adaptive system
some general observations. Part 2 A formal framework: discussion
presentation
comparison with the Dubins-Savage formalization of the gambler's problem. Part 3 Illustrations: genetics
economics
game-playing
searches, pattern recognition, and statistical inference
control and function optimization
central nervous systems. Part 4 Schemata. Part 5 The optimal allocation of trials: the 2-armed bandit
realization of minimal looses
many options
application to schemata. Part 6 Reproductive plans and genetic operators: generalized reproductive plans
generalized genetic operators - crossing-over
generalized genetic operators - inversion
generalized genetic operators - mutation
further increases in power
interpretations. Part 7 The robustness of genetic plans: adaptive plans
the robustness of plans
robustness vis-a-vis a simple artificial adaptive system
robustness vis-a-vis a complex and natural adaptive system
general consequence. Part 8 Adaptation of codings and representations: fixed representation
the "Broadcast Language"
usage
concerning applications and the use of genetic plans to modify representations. Part 9 An overview: insights
computer studies
advanced questions. Part 10 Interim and prospectus: in the interim
the optimal allocation of trials revisited
recent work
possibilities.

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Adaptation in natural and artificial systems : an introductory analysis with applications to biology, control, and artificial intelligence

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