Published October 2016 | Version v1
Journal article

Impact of self interaction on the evolution of cooperation in social spatial dilemmas

  • 1. Key Laboratory of Computer Vision and System (Ministry of Education), Tianjin University of Technology, Tianjin 300384 (China)
  • 2. Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384 (China)
  • 3. School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384 (China)

Description

Highlights: • A self interaction mechanism is integrated into two classical game models (PDG and SDG). • An additional payoff will be awarded into the cooperative agents for the payoff calculation. • Beyond the fixed interaction strength, distributed interaction strength is considered. • The collective cooperation can be drastically elevated into a higher level. - Abstract: In this paper, a new self interaction mechanism is integrated into two typical pairwise models including the prisoner's dilemma and snowdrift games, where an additional payoff will be awarded into the cooperative agents. In the prisoner's dilemma game, we take three types of additional payoffs into account, to be a fixed constant, a random value situated within the positive unilateral interval and a random one uniformly distributed within a bilateral interval. Large quantities of numerical simulations indicate the promotion of cooperation can be very noticeable whether in the case of von Neumann neighborhood or Moore neighborhood. In the meantime, the self interaction will also be extended into the snowdrift game in which two equilibria exist, and the outcomes clearly show that the collective cooperation is still drastically elevated into a higher level. Current results demonstrate that the self interaction might become a potential and effective means to enhance the behavior of cooperation, and be helpful for us to deeply understand the widespread persistence and emergence of cooperation within many animal and human being societies.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2016.06.021

Additional details

Identifiers

DOI
10.1016/j.chaos.2016.06.021;
PII
S0960-0779(16)30217-X;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
91
Journal Page Range
p. 393-399
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48064794
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
COMPUTERIZED SIMULATION; COOPERATION; EQUILIBRIUM; GAME THEORY; HUMAN POPULATIONS; INTERACTIONS; MATHEMATICAL EVOLUTION; RANDOMNESS
Descriptors DEC
EVOLUTION; MATHEMATICS; POPULATIONS; SIMULATION; STATISTICS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.