Title :
A fuzzy metagame model for biological evolution
Author_Institution :
Health Sci. Center, Colorado Univ., Denver, CO, USA
Abstract :
The evolution of life on earth can be modeled in terms of a competitive game between species and each other, and between species and the environment. The rifles of the game change as local ecological niches are transformed due to evolving species and natural catastrophes. In order to better prepare for emerging conditions, organisms allow for mutations and encourage unrepaired genetic variances. Betting in this way on the rules of future games is a metagame that rewards those organisms that change more in accordance with the flow of ecological and natural events. The successful degree of novelty along appropriate directions allows for the continuation of the better-fit players in the next stage of the game. Since the current and future conditions are unknown, a fuzzy approximation of the situations and strategies is a more adequate model for the ongoing successions of competitive games between species.
Keywords :
biology; evolution (biological); fuzzy set theory; fuzzy systems; game theory; biological evolution; competitive game; fuzzy approximation; fuzzy metagame; Bioinformatics; Biological system modeling; Biology; Costs; Evolution (biology); Game theory; Genetic mutations; Geoscience; Humans; Organisms;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548609