TY - BOOK ID - 2551773 TI - Evolution and biocomputation. Computational models of evolution AU - Banzhaf, Wolfgang AU - Eeckman, Frank H PY - 1995 VL - 899 SN - 3540590463 3540491767 9783540590460 PB - Berlin : Springer-Verlag, DB - UniCat KW - Génétique quantitative KW - Kwantitatieve genetica KW - Quantitative genetics KW - Quantitative inheritance KW - Population genetics KW - Evolution (Biology) KW - Mathematical models. KW - Computer simulation. KW - Mathematical models KW - Evolution KW - Computer simulation KW - Evolution - Mathematical models. KW - Population genetics - Computer simulation. KW - Evolution - Computer simulation. KW - Evolution (Biology). KW - Information theory. KW - Computer software. KW - Artificial intelligence. KW - Combinatorics. KW - Evolutionary Biology. KW - Theory of Computation. KW - Algorithm Analysis and Problem Complexity. KW - Artificial Intelligence. KW - Mathematical and Computational Biology. KW - Combinatorics KW - Algebra KW - Mathematical analysis KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Software, Computer KW - Computer systems KW - Communication theory KW - Communication KW - Cybernetics KW - Animal evolution KW - Animals KW - Biological evolution KW - Darwinism KW - Evolutionary biology KW - Evolutionary science KW - Origin of species KW - Biology KW - Biological fitness KW - Homoplasy KW - Natural selection KW - Phylogeny KW - Population genetics - Mathematical models. KW - Evolution (Biology) - Mathematical models. KW - Evolution (Biology) - Computer simulation. UR - https://www.unicat.be/uniCat?func=search&query=sysid:2551773 AB - 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 1992. 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. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index. ER -