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Evolution and Biocomputation Computational Models of Evolution (Lecture Notes in Computer Science) by

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Published by Springer .
Written in English


  • Evolution,
  • General Theory of Computing,
  • Life Sciences - Genetics & Genomics,
  • Computer Science,
  • Computers,
  • Science,
  • Computer Books: General,
  • Artificial Intelligence - General,
  • Artificial Life,
  • Computers / Computer Science,
  • Genetic Algorithms,
  • Genetische Algorithmen,
  • Künstliches Leben,
  • Neural Networks,
  • Neuronale Netzwerke,
  • Optimierung,
  • Optimization,
  • Discrete Mathematics,
  • Computer simulation,
  • Evolution (Biology),
  • Mathematical models,
  • Population genetics

Book details:

Edition Notes

ContributionsWolfgang Banzhaf (Editor), Frank H. Eckman (Editor)
The Physical Object
Number of Pages277
ID Numbers
Open LibraryOL9061457M
ISBN 103540590463
ISBN 109783540590460

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This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. "This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July Introduction to Evolutionary Biology. This note covers the following topics: What is Evolution, Common Misconceptions about Evolution, Genetic Variation, Evolution within a Lineage, Mechanisms that Decrease Genetic Variation, Mechanisms that Increase Genetic Variation, The Development of Evolutionary Theory, Evolution Among Lineages, Scientific Standing of Evolution and its Critics, . Your last book is Evolution: What the Fossils Say and Why It Matters by Donald Prothero. This is the wildcard on my list, the one book that evolution aficionados might not have heard of. It’s important because it is the one book that really lays out in great detail, for the non-specialist, some of the strongest evidence for evolution, which.

  It argues that what is proper to algorithmic evolution is that the selective dynamics of one modeled entity – for ex. genes, or species – is happening in the simulation with no immediate entangling with other levels of a hierarchy, unlike in biological evolution, where all the levels of the biological hierarchies are present together and Cited by: 3. Evolution is change in the heritable characteristics of biological populations over successive generations. These characteristics are the expressions of genes that are passed on from parent to offspring during ent characteristics tend to exist within any given population as a result of mutation, genetic recombination and other sources of genetic variation. Altenberg L. () Genome growth and the evolution of the genotype-phenotype map. In: Banzhaf W., Eeckman F.H. (eds) Evolution and Biocomputation. Lecture Notes in Computer Science, vol Cited by: Evolution and Biocomputation: Computational Models of Evolution has 1 available editions to buy at Half Price Books Marketplace Same Low Prices, Bigger Selection, More Fun .

Evolution and Biocomputation. Summary: This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July Evolution Science and Ethics in the Third Millennium; Evolution That Anyone Can Understand; Evolution and Adaptation of Terrestrial Arthropods; Evolution and Biocomputation; Evolution and Challenges in System Development; Evolution and Constitution; Evolution and Control in Biological Systems; Evolution and Development; Evolution and. The book is a valuable compilation of scientists and life long researchers on life including evolution, biology, biotechnology and the theories about the future of life in this planet. You may not support all the view points but it stimulate readers to think and study further about the topics and content of the book/5. olution and Biocomputation: Computational Models of Evolution By Wolfgang Banzhaf, Frank Eeckman (au.