Автор |
Fletcher, Jeffrey, A. |
Автор |
Bedau, Mark, A. |
Автор |
Zwick, Martin |
Дата выпуска |
1996 |
dc.description |
This article concerns the relationship between the detectable and useful structure in an environment and the degree to which a population can adapt to that environment. We explore the hypothesis that adaptability will depend unimodally on environmental variety, and we measure this component of environmental structure using the information-theoretical uncertainty (Shannon entropy) of detectable environmental conditions. We define adaptability as the degree to which a certain kind of population successfully adapts to a certain kind of environment, and we measure adaptability by comparing a population's size to the size of a nonadapting, but otherwise comparable, population in the same environment. We study the relationship between adaptability and environmental structure in an evolving artificial population of sensorimotor agents that live, reproduce, and die in a variety of environments. We find that adaptability does not show a unimodal dependence on environmental variety alone, although there is justification for preserving our unimodal hypothesis if we consider other aspects of environmental structure. In particular, adaptability depends not just on how much structural information is detectable in the environment but also on the extent to which this information is unambiguous and valuable (i.e., whether the information accurately signals a difference that makes a difference). How best to measure and integrate these other components of environmental structure remains unresolved. |
Издатель |
Sage Publications |
Тема |
adaptation |
Тема |
environment |
Тема |
environmental structure |
Тема |
evolution; sensorimotor function |
Тема |
Shannon entropy |
Название |
Dependence of Adaptability on Environmental Structure in a Simple Evolutionary Model |
Тип |
Journal Article |
DOI |
10.1177/105971239600400304 |
Print ISSN |
1059-7123 |
Журнал |
Adaptive Behavior |
Том |
4 |
Первая страница |
283 |
Последняя страница |
315 |
Аффилиация |
Fletcher, Jeffrey, A., Systems Science Ph.D. Program, Portland State University, P.O. Box 751, Portland, Oregon 97207-0751, Portland State University |
Аффилиация |
Bedau, Mark, A., Department of Philosophy, Reed College, 3213 SE Woodstock Boulevard, Portland, Oregon 97202, Reed College |
Аффилиация |
Zwick, Martin, Portland State University, Systems Science Ph.D. Program, Portland State University, P.O. Box 751, Portland, Oregon 97207-0751 |
Выпуск |
3-4 |
Библиографическая ссылка |
Ashby, W.R. (1956). An introduction to cybernetics. London: Chapman & Hall. |
Библиографическая ссылка |
Bateson, G. (1972). Steps to an ecology of mind. New York: Ballantine Books. |
Библиографическая ссылка |
Bedau, M.A. (1994). The evolution of sensorimotor functionality. In P Gaussier & J. D. Nicoud (Eds.), From perception to action. New York: IEEE Press. |
Библиографическая ссылка |
Bedau, M.A. (1995). Three illustrations of artificial life's working hypothesis. In W Banzhaf & F. Eeckman (Eds.), Evolution and biocomputation—computational models of evolution. Berlin: Springer . |
Библиографическая ссылка |
Bedau, M.A., & Bahm, A. (1994). Bifurcation structure in diversity dynamics. In R. Brooks & P. Maes (Eds.), Artificial life IV. Cambridge, MA: Bradford/MIT Press. |
Библиографическая ссылка |
Bedau, M.A., Giger, M., & Zwick, M. (1995). Adaptive diversity dynamics in static resource models. Advances in Systems Science and Applications, 1, 1-6. |
Библиографическая ссылка |
Bedau, M.A., & Packard, N.H. (1992). Measurement of evolutionary activity, teleology, and life. In C. G. Langton, C. E. Taylor, J. D. Farmer & S. Rasmussen (Eds.), Artificial life II. Redwood City, CA: Addison-Wesley. |
Библиографическая ссылка |
Bedau, M.A., Ronneburg, E., & Zwick, M. (1992). Dynamics of diversity in an evolving population . In R. Männer & B. Manderick (Eds.), Parallel problem solving from nature (vol 2). Amsterdam : North-Holland. |
Библиографическая ссылка |
Bedau, M.A., & Seymour, R. (1994). Adaptation of mutation rates in a simple model of evolution. In R. Stonier & X. Yu (Eds.), Complex systems—mechanisms of adaptation. Amsterdam: IOS Press . |
Библиографическая ссылка |
Emery, F.E., & Trist, E.L. (1965). The causal texture of organizational environments . Human Relations, 18, 21-32. |
Библиографическая ссылка |
Littman, M.L. (1993). An optimization-based categorization of reinforcement learning environments. In J. A. Meyer, H. L. Roiblat & S. W Wilson (Eds.), From animals to animats 2. Cambridge, MA: Bradford/MIT Press. |
Библиографическая ссылка |
Packard, N.H. (1989). Intrinsic adaptation in a simple model for evolution . In C. G. Langton (Ed.), Artificial life. Redwood City, CA: Addison-Wesley. |
Библиографическая ссылка |
Shannon, C.E., & Weaver, W. (1949). The mathematical theory of communication. Urbana, IL: University of Illinois Press . |
Библиографическая ссылка |
Todd, P.M., & Wilson, S.W. (1993). Environment structure and adaptive behavior from the ground up. In J. A. Meyer, H. L. Roiblat & S. W Wilson (Eds.), From animals to animats 2. Cambridge, MA: Bradford/MIT Press. |
Библиографическая ссылка |
Todd, P.M., Wilson, S.W., Somayaji, A.B., & Yanco, H.A. (1994). The blind breeding the blind: Adaptive behavior without looking. In D. Cliff, P. Husbands, J.-A. Meyer & S. W Wilson (Eds.), From animals to animats 3. Cambridge, MA: Bradford/MIT Press. |
Библиографическая ссылка |
Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton, NJ: Princeton University Press. |
Библиографическая ссылка |
Wilson, S.W. (1991). The animat path to AI. In J.-A. Meyer & S. W Wilson (Eds.), From animals to animats. Cambridge, MA: Bradford/MIT Press. |