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Artificial life : an overview by Christopher G. Langton PDF

By Christopher G. Langton

ISBN-10: 0262121891

ISBN-13: 9780262121897

ISBN-10: 0262277921

ISBN-13: 9780262277921

ISBN-10: 0585036152

ISBN-13: 9780585036151

Artificial life, a box that seeks to extend the position of synthesis within the examine of organic phenomena, has nice strength, either for unlocking the secrets and techniques of lifestyles and for elevating a number of tense concerns -- medical and technical in addition to philosophical and moral. This e-book brings jointly a sequence of evaluation articles that seemed within the first 3 problems with the groundbreaking magazine Artificial Life, in addition to a brand new creation by means of Christopher Langton, Editor-in-Chief of Artificial Life, founding father of the self-discipline, and Director of the synthetic existence application on the Santa Fe Institute.

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J. (1988). The construction and turnover of complex community models having generalized Lotka-Volterra dynamics. Journal of Theoretical Biology, 135, 569-588. 96. Tilman, D. (1982). Resource competition and community structure. Princeton, NJ: Princeton University Press. 97. , & Roberts, A. (979). Complex systems which evolve towards homeostasis. Nature, 281,563-564. 36 K. Lindgren and M. G. Nordahl Cooperation in Artificial Ecosystems 98. Trivers, R. (1971). The evolution of reciprocal altruism.

In tbe repeated Prisoner's Dilemma. Santa 69. Molander, P. (1985). The optimal level of generosity in a selfish, uncertain environment. Journal of Conflict Resolution, 29,611-618. 70. Niering, W. A. (1%3). Terrestrial ecology of Kapingamarangi Atoll, Caroline Islands. Ecological Monograpbs, 33, 131-160. 71. Nordahl, M. G. A spin-glass model of coevolution. Preprint. 72. Nowak, M. , & May, R. M. (1992). Evolutionary games and spatial chaos. Nature, 359, 826-829. 73. Nowak, M. , & May, R. M. (1993).

27 K. Lindgrenand M. G. Nordahl Cooperationin ArtificialEcosystems A crude classification of the interactions between species would label interactions depending on the signs of the couplings in an imagined set of Lotka-Volterra equations: predation, competition, and mutualism (if one assumes that all couplings are nonzero). In many cases, studies of community structure take only who-eats-whom into account for a number of exceptions (see Kawanabe et al. [45]). Our own approach has been rather different: Starting out from models of the evolution of cooperation, which provide complex interactions between individuals, we then attempt to extend the model to describe predation and resource flow.

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Artificial life : an overview by Christopher G. Langton


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