适应(眼睛)
计算机科学
普遍性(动力系统)
人工智能
复杂适应系统
共同进化
复杂系统
领域(数学)
自然(考古学)
认知科学
过程(计算)
生态学
数学
地理
心理学
考古
神经科学
物理
操作系统
纯数学
生物
量子力学
出处
期刊:The MIT Press eBooks
[The MIT Press]
日期:1992-01-01
被引量:7745
标识
DOI:10.7551/mitpress/1090.001.0001
摘要
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.
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