Literature DB >> 16901509

Active linking in evolutionary games.

Jorge M Pacheco1, Arne Traulsen, Martin A Nowak.   

Abstract

In the traditional approach to evolutionary game theory, the individuals of a population meet each other at random, and they have no control over the frequency or duration of interactions. Here we remove these simplifying assumptions. We introduce a new model, where individuals differ in the rate at which they seek new interactions. Once a link between two individuals has formed, the productivity of this link is evaluated. Links can be broken off at different rates. In a limiting case, the linking dynamics introduces a simple transformation of the payoff matrix. We outline conditions for evolutionary stability. As a specific example, we study the interaction between cooperators and defectors. We find a simple relationship that characterizes those linking dynamics which allow natural selection to favour cooperation over defection.

Mesh:

Year:  2006        PMID: 16901509      PMCID: PMC3279753          DOI: 10.1016/j.jtbi.2006.06.027

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  34 in total

1.  A dynamic model of social network formation.

Authors:  B Skyrms; R Pemantle
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

2.  Coevolutionary games on networks.

Authors:  Holger Ebel; Stefan Bornholdt
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-11-20

3.  Spatial structure often inhibits the evolution of cooperation in the snowdrift game.

Authors:  Christoph Hauert; Michael Doebeli
Journal:  Nature       Date:  2004-04-08       Impact factor: 49.962

4.  The evolutionary origin of cooperators and defectors.

Authors:  Michael Doebeli; Christoph Hauert; Timothy Killingback
Journal:  Science       Date:  2004-10-29       Impact factor: 47.728

5.  Scale-free networks provide a unifying framework for the emergence of cooperation.

Authors:  F C Santos; J M Pacheco
Journal:  Phys Rev Lett       Date:  2005-08-26       Impact factor: 9.161

6.  A simple rule for the evolution of cooperation on graphs and social networks.

Authors:  Hisashi Ohtsuki; Christoph Hauert; Erez Lieberman; Martin A Nowak
Journal:  Nature       Date:  2006-05-25       Impact factor: 49.962

7.  Stochasticity and evolutionary stability.

Authors:  Arne Traulsen; Jorge M Pacheco; Lorens A Imhof
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-08-04

8.  Graph topology plays a determinant role in the evolution of cooperation.

Authors:  F C Santos; J F Rodrigues; J M Pacheco
Journal:  Proc Biol Sci       Date:  2006-01-07       Impact factor: 5.349

9.  The evolution of cooperation.

Authors:  R Axelrod; W D Hamilton
Journal:  Science       Date:  1981-03-27       Impact factor: 47.728

10.  The genetical evolution of social behaviour. I.

Authors:  W D Hamilton
Journal:  J Theor Biol       Date:  1964-07       Impact factor: 2.691

View more
  47 in total

Review 1.  Models of social evolution: can we do better to predict 'who helps whom to achieve what'?

Authors:  António M M Rodrigues; Hanna Kokko
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-02-05       Impact factor: 6.237

2.  Evolutionary prisoner's dilemma games coevolving on adaptive networks.

Authors:  Hsuan-Wei Lee; Nishant Malik; Peter J Mucha
Journal:  J Complex Netw       Date:  2017-07-07

3.  Stochastic payoff evaluation increases the temperature of selection.

Authors:  Arne Traulsen; Martin A Nowak; Jorge M Pacheco
Journal:  J Theor Biol       Date:  2006-08-12       Impact factor: 2.691

4.  Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation.

Authors:  Naoki Masuda
Journal:  Proc Biol Sci       Date:  2007-08-07       Impact factor: 5.349

5.  Transforming the dilemma.

Authors:  Christine Taylor; Martin A Nowak
Journal:  Evolution       Date:  2007-08-17       Impact factor: 3.694

6.  Repeated games and direct reciprocity under active linking.

Authors:  Jorge M Pacheco; Arne Traulsen; Hisashi Ohtsuki; Martin A Nowak
Journal:  J Theor Biol       Date:  2007-11-06       Impact factor: 2.691

7.  Cooperation and assortativity with dynamic partner updating.

Authors:  Jing Wang; Siddharth Suri; Duncan J Watts
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-17       Impact factor: 11.205

8.  Cooperators Unite! Assortative linking promotes cooperation particularly for medium sized associations.

Authors:  Adám Kun; Gergely Boza; István Scheuring
Journal:  BMC Evol Biol       Date:  2010-06-11       Impact factor: 3.260

9.  A conceptual cellular interaction model of left ventricular remodelling post-MI: dynamic network with exit-entry competition strategy.

Authors:  Yunji Wang; Hai-Chao Han; Jack Y Yang; Merry L Lindsey; Yufang Jin
Journal:  BMC Syst Biol       Date:  2010-05-28

10.  Evolution of cooperation on stochastic dynamical networks.

Authors:  Bin Wu; Da Zhou; Feng Fu; Qingjun Luo; Long Wang; Arne Traulsen
Journal:  PLoS One       Date:  2010-06-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.