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Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

Cover Image Copyright Year: 1992
Author(s): Holland, J.
Publisher: MIT Press
Content Type : Books & eBooks
Topics: Computing & Processing (Hardware/Software)
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Abstract

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.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program.

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      Front Matter

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): i - xv
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Half Title, Complex Adaptive Systems, Title, Copyright, Contents, List of Figures, Preface to the 1992 Edition, Preface, Half Title View full abstract»

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      The General Setting

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 1 - 19
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Introduction, Preliminary Survey, A Simple Artificial Adaptive System, A Complex Natural Adaptive System, Some General Observations View full abstract»

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      A Formal Framework

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 20 - 31
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Discussion, Presentation, Comparison with the Dubins-Savage Formalization of the Gambler's Problem View full abstract»

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      Illustrations

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 32 - 65
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Genetics, Economics, Game-Playing, Searches, Pattern Recognition, and Statistical Inference, Control and Function Optimization, Central Nervous Systems View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Schemata

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 66 - 74
      Copyright Year: 1992

      MIT Press eBook Chapters

      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.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program. View full abstract»

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      The Optimal Allocation of Trials

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 75 - 88
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: The 2-Armed Bandit, Realization of Minimal Losses, Many Options, Application to Schemata View full abstract»

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      Reproductive Plans and Genetic Operators

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 89 - 120
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Generalized Reproductive Plans, Generalized Genetic Operators—Crossing-Over, Generalized Genetic Operators—Inversion, Generalized Genetic Operators—Mutation, Interpretations View full abstract»

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      The Robustness of Genetic Plans

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 121 - 140
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Adaptive Plans of Type ℛ1(Pc, PI, 1PM, 〈ct〉), The Robustness of Plans ℛ1(Pc, PI, 1PM, 〈ct〉), Robustness Vis-À-Vis a Simple Artificial Adaptive System, Robustness Vis-À-Vis A Complex Natural Adaptive System, General Consequences View full abstract»

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      Adaptation of Codings and Representations

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 141 - 158
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Fixed Representation, The “Broadcast Language”, Usage, Concerning Applications and the Use of Genetic Plans to Modify Representations View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      An Overview

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 159 - 170
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: Insights, Computer Studies, Advanced Questions View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Interim and Prospectus

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 171 - 198
      Copyright Year: 1992

      MIT Press eBook Chapters

      This chapter contains sections titled: In the Interim, The Optimal Allocation of Trials Revisited, Recent Work, Possibilities View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Glossary of Important Symbols

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 199 - 202
      Copyright Year: 1992

      MIT Press eBook Chapters

      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.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program. View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Bibliography

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 203 - 205
      Copyright Year: 1992

      MIT Press eBook Chapters

      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.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program. View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Index

      Holland, J.
      Adaptation in Natural and Artificial Systems:An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

      Page(s): 207 - 211
      Copyright Year: 1992

      MIT Press eBook Chapters

      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.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program. View full abstract»




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