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Title Adaptive Individuals In Evolving Populations : Models And Algorithms / editors, Richard K. Belew, Melanie Mitchell
Published New York : Routledge, 2018

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Description 1 online resource : illustrations
Series Proceedings volume in the Santa Fe Institute studies in the sciences of complexity ; v. 26
Proceedings volume in the Santa Fe Institute studies in the sciences of complexity ; v. 26.
Contents Cover; Half Title; Title; Copyright; About the Santa Fe Institute; Contributors to This Volume; Contents; Acknowledgments; Chapter 1: Introduction; BIOLOGY; Overview; Chapter 2: Adaptive Computation in Ecology and Evolution: A Guide to Future Research; Reprinted Classics; Chapter 3: The Classics in Their Context, and in Ours; Chapter 4: Of the Influence of the Environment on the Activities and Habits of Animals, and the Influence of the Activities and Habits of These Living Bodies in Modifying Their Organization and Structure; Chapter 5: A New Factor in Evolution
Chapter 6: On Modification and VariationChapter 7: Canalization of Development and the Inheritance of Acquired Characters; Chapter 8: The Baldwin Effect; Chapter 9: The Role of Somatic Change in Evolution; New Work; Preface to Chapter 10; Chapter 10: A Model of Individual Adaptive Behavior in a Fluctuating Environment; Preface to Chapter 11; Chapter 11: The Baldwin Effect in the Immune System: Learning by Somatic Hypermutation; Preface to Chapter 12; Chapter 12: The Effect of Memory Length on Individual Fitness in a Lizard; Appendix to Chapter 12; Preface to Chapter 13
Chapter 13: Latent Energy EnvironmentsPSYCHOLOGY; Overview; Chapter 14: The Causes and Effects of Evolutionary Simulation in the Behavioral Sciences; Reprinted Classics; Preface to Chapters 15 and 16; Chapter 15: Excerpts from ""Principles of Biology; Chapter 16: Excerpts from ""Principles of Psychology; Chapter 17: William James and the Broader Implications of a Multilevel Selectionism; Chapter 18: Excerpts from ""The Phylogeny and Ontogeny of Behavior; Preface to Chapter 19; Chapter 19: Excerpts from ""Adaptation and Intelligence: Organic Selection and Phenocopy; Preface to Chapter 20
Chapter 20: Selective Costs and Benefits of in the Evolution of LearningNew Work; Preface to Chapter 21; Chapter 21: Sexual Selection and the Evolution of Learning; Preface to Chapter 22; Chapter 22: Discontinuity in Evolution: How Different Levels of Organization Imply Preadaptation; Preface to Chapter 23; Chapter 23: The Influence of Learning on Evolution; COMPUTER SCIENCE; Overview; Chapter 24: Computation and the Natural Sciences; Reprinted Classics; Preface to Chapter 25; Chapter 25: How Learning Can Guide Evolution; Natural Selection: When Learning Guides Evolution; New Work
Preface to Chapter 26Chapter 26: Simulations Combining Evolution and Learning; Preface to Chapter 27; Chapter 27: Optimization with Genetic Algorithm Hybrids that Use Local Searches; Glossary; Index
Summary The theory of evolution has been most successful explaining the emergence of new species in terms of their morphological traits. Ethologists teach that behaviors, too, qualify as first-class phenotypic features, but evolutionary accounts of behaviors have been much less satisfactory. In part this is because maturational?programs? transforming genotype to phenotype are?open? to environmental influences affected by behaviors. Further, many organisms are able to continue to modify their behavior, i.e., learn, even after fully mature. This creates an even more complex relationship between the genotypic features underlying the mechanisms of maturation and learning and the adapted behaviors ultimately selected. A meeting held at the Santa Fe Institute during the summer of 1993 brought together a small group of biologists, psychologists, and computer scientists with shared interests in questions such as these. This volume consists of papers that explore interacting adaptive systems from a range of interdisciplinary perspectives. About half of the articles are classic, seminal references on the subject, ranging from biologists like Lamarck and Waddington to psychologists like Piaget and Skinner. The other half represent new work by the workshop participants. The role played by mathematical and computational tools, both as models of natural phenomena and as algorithms useful in their own right, is particularly emphasized in these new papers. In all cases, the prefaces help to put the older papers in a modern context. For the new papers, the prefaces have been written by colleagues from a discipline other than the paper's authors, and highlight, for example, what a computer scientist can learn from a biologist's model, or vice versa. Through these cross-disciplinary?dialogues? and a glossary collecting multidisciplinary connotations of pivotal terms, the process of interdisciplinary investigation itself becomes a central theme
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed May 18, 2018)
Subject Animal behavior.
Animals -- Adaptation.
Animal populations.
Animal behavior -- Computer simulation
Animals -- Adaptation -- Computer simulation
Animal populations -- Computer simulation
SCIENCE -- Life Sciences -- Zoology -- General.
Animal behavior
Animal behavior -- Computer simulation
Animal populations
Animal populations -- Computer simulation
Animals -- Adaptation
Form Electronic book
Author Belew, Richard K., editor.
ISBN 9780429502903
0429502907
9780429982538
0429982534
9780429971457
9780429993619
0429993617
0429971451
9780429971457