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Information Processing in Multigame Environments Modeling the Evolution of Sex via Punctuated Equilibria

✍ Scribed by M.J GAGEN


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
221 KB
Volume
206
Category
Article
ISSN
0022-5193

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✦ Synopsis


Uncertain environments are properly described by probability distributions which, as usual, can be collapsed or conditioned into distributions with reduced uncertainty through the processing of environmental information. Organisms which force this collapse gain evolutionary advantage by being able to employ strategies in a known environment rather than in a merely probable one. The accrued bene"t gained from processing information can be precisely quanti"ed by comparing bene"ts returned using distributions prior to, and after collapse, and these often large and immediate bene"ts can amply justify the evolutionary cost of information processing systems. More importantly, the evolution of information processing systems must necessarily occur in a predictable evolutionary sequence from less complex to more complex. Practical applications include modeling the evolution of sex modeled here as a sequence from asexual reproduction, to single gene exchange, to gene packet exchange, to same species packet exchange, and "nally to sexual reproduction, sexual selection, `Red Queena contests and so on. Modeling this sequence requires extensions to game theory originally designed to model a single game, to allow the simultaneous operation of many games. This extension is called a multigame environment. The dynamical evolution of the development sequence shows punctuated equilibria.