Literature DB >> 22120126

Evolutionary dynamics of biological auctions.

Krishnendu Chatterjee1, Johannes G Reiter, Martin A Nowak.   

Abstract

Many scenarios in the living world, where individual organisms compete for winning positions (or resources), have properties of auctions. Here we study the evolution of bids in biological auctions. For each auction, n individuals are drawn at random from a population of size N. Each individual makes a bid which entails a cost. The winner obtains a benefit of a certain value. Costs and benefits are translated into reproductive success (fitness). Therefore, successful bidding strategies spread in the population. We compare two types of auctions. In "biological all-pay auctions", the costs are the bid for every participating individual. In "biological second price all-pay auctions", the cost for everyone other than the winner is the bid, but the cost for the winner is the second highest bid. Second price all-pay auctions are generalizations of the "war of attrition" introduced by Maynard Smith. We study evolutionary dynamics in both types of auctions. We calculate pairwise invasion plots and evolutionarily stable distributions over the continuous strategy space. We find that the average bid in second price all-pay auctions is higher than in all-pay auctions, but the average cost for the winner is similar in both auctions. In both cases, the average bid is a declining function of the number of participants, n. The more individuals participate in an auction the smaller is the chance of winning, and thus expensive bids must be avoided.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22120126      PMCID: PMC3279759          DOI: 10.1016/j.tpb.2011.11.003

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  15 in total

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3.  The one-third law of evolutionary dynamics.

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Authors:  Lorens A Imhof; Martin A Nowak
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Authors:  J G Riley
Journal:  J Theor Biol       Date:  1979-01-21       Impact factor: 2.691

6.  The theory of games and the evolution of animal conflicts.

Authors:  J M Smith
Journal:  J Theor Biol       Date:  1974-09       Impact factor: 2.691

7.  The war of attrition with random rewards.

Authors:  D T Bishop; C Cannings; J M Smith
Journal:  J Theor Biol       Date:  1978-10-07       Impact factor: 2.691

8.  A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner's Dilemma game.

Authors:  M Nowak; K Sigmund
Journal:  Nature       Date:  1993-07-01       Impact factor: 49.962

9.  Strong evolutionary equilibrium and the war of attrition.

Authors:  J G Riley
Journal:  J Theor Biol       Date:  1980-02-07       Impact factor: 2.691

10.  Cheating in evolutionary games.

Authors:  M R Rose
Journal:  J Theor Biol       Date:  1978-11-07       Impact factor: 2.691

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  1 in total

1.  Biological auctions with multiple rewards.

Authors:  Johannes G Reiter; Ayush Kanodia; Raghav Gupta; Martin A Nowak; Krishnendu Chatterjee
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

  1 in total

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