Emergence of multilevel selection in the prisoner's dilemma game on coevolving random networks
Creators
- 1. Research Institute for Technical Physics and Materials Science, PO Box 49, H-1525 Budapest (Hungary)
- 2. Department of Physics, Faculty of Natural Sciences and Mathematics, University of Maribor, Koroska cesta 160, SI-2000 Maribor (Slovenia)
Description
We study the evolution of cooperation in the prisoner's dilemma game, whereby a coevolutionary rule is introduced that molds the random topology of the interaction network in two ways. First, existing links are deleted whenever a player adopts a new strategy or its degree exceeds a threshold value; second, new links are added randomly after a given number of game iterations. These coevolutionary processes correspond to the generic formation of new links and deletion of existing links that, especially in human societies, appear frequently as a consequence of ongoing socialization, change of lifestyle or death. Due to the counteraction of deletions and additions of links the initial heterogeneity of the interaction network is qualitatively preserved, and thus cannot be held responsible for the observed promotion of cooperation. Indeed, the coevolutionary rule evokes the spontaneous emergence of a powerful multilevel selection mechanism, which despite the sustained random topology of the evolving network, maintains cooperation across the whole span of defection temptation values.
Availability note (English)
Available from http://dx.doi.org/10.1088/1367-2630/11/9/093033Additional details
Identifiers
Publishing Information
- Journal Title
- New Journal of Physics
- Journal Volume
- 11
- Journal Issue
- 9
- Journal Page Range
- [11 p.]
- ISSN
- 1367-2630
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41054302
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- COOPERATION; EVOLUTION; HUMAN POPULATIONS; RANDOMNESS; TOPOLOGY
- Descriptors DEC
- MATHEMATICS; POPULATIONS