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

@book{Holland1992, abstract = {John Holland's <i>Adaptation in Natural and Artificial Systems</i> is one of the classics in the field of complex adaptive systems. Holland is known as the father of genetic algorithms and classifier systems and in this tome he describes the theory behind these algorithms. Drawing on ideas from the fields of biology and economics, he shows how computer programs can evolve. The book contains mathematical proofs that are accessible only to those with strong backgrounds in engineering or science. 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. <I>Adaptation in Natural and Artificial Systems</I> is the book that initiated this field of study, presenting the theoretical foundations and exploring applications.<br /> <br /> 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.<br /> <br /> 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.<br /> <br /> 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.}, author = {Holland, John H.}, citeulike-article-id = {125979}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/0262581116}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&amp;path=ASIN/0262581116}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&amp;path=ASIN/0262581116}, citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/0262581116}, citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/0262581116/citeulike00-21}, citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0262581116}, citeulike-linkout-6 = {http://www.worldcat.org/isbn/0262581116}, citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN0262581116}, citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=0262581116&index=books&linkCode=qs}, citeulike-linkout-9 = {http://www.librarything.com/isbn/0262581116}, day = {29}, howpublished = {Paperback}, isbn = {0262581116}, keywords = {adaptation, ga-theory, genetic-algorithms, schema-theory}, month = {April}, posted-at = {2007-08-29 16:28:21}, priority = {0}, publisher = {The MIT Press}, title = {Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0262581116}, year = {1992} }

TY - BOOK ID - Holland1992 L3 - citeulike-article-id:125979 N2 - John Holland's <i>Adaptation in Natural and Artificial Systems</i> is one of the classics in the field of complex adaptive systems. Holland is known as the father of genetic algorithms and classifier systems and in this tome he describes the theory behind these algorithms. Drawing on ideas from the fields of biology and economics, he shows how computer programs can evolve. The book contains mathematical proofs that are accessible only to those with strong backgrounds in engineering or science. 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. <I>Adaptation in Natural and Artificial Systems</I> is the book that initiated this field of study, presenting the theoretical foundations and exploring applications.<br /> <br /> 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.<br /> <br /> 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.<br /> <br /> 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. SN - 0262581116 TI - Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence PB - The MIT Press KW - adaptation KW - ga-theory KW - genetic-algorithms KW - schema-theory AU - Holland, John PY - 1992/04/29/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/0262581116 ER -