Published June 2013 | Version v1
Journal article

Noise-induced enhancement of network reciprocity in social dilemmas

  • 1. Department of Physics, College of Science, Nanjing Forestry University, Nanjing 210037 (China)
  • 2. Department of Resource and Environmental Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 3. Adaptive Networks and Control Laboratory, Department of Electronic Engineering, Fudan University, Shanghai 200433 (China)

Description

Highlights: • We introduce the noise-induced mechanism into the prisoner's dilemma game. • Cooperation will be largely enhanced by introducing the noise into the calculation of fitness. • Despite the defectors prevail initially, the stressed factor still promotes the cooperation. • The mechanism studied here is helpful on different kinds of interaction networks. -- Abstract: The network reciprocity is an important dynamic rule fostering the emergence of cooperation among selfish individuals. This was reported firstly in the seminal work of Nowak and May, where individuals were arranged on the regular lattice network, and played the prisoner's dilemma game (PDG). In the standard PDG, one often assumes that the players have perfect rationality. However, in reality, we human are far from rational agents, as we often make mistakes, and behave irrationally. Accordingly, in this work, we introduce the element of noise into the measurement of fitness, which is determined by the parameter α controlling the degree of noise. The considered noise-induced mechanism remarkably promotes the behavior of cooperation, which may be conducive to interpret the emergence of cooperation within the population

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2013.03.003

Additional details

Identifiers

DOI
10.1016/j.chaos.2013.03.003;
arXiv
arXiv:1303.1959v1;
PII
S0960-0779(13)00043-X;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
51
Journal Page Range
p. 31-35
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45052725
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
COOPERATION; HUMAN POPULATIONS; INTERACTIONS; NOISE
Descriptors DEC
POPULATIONS

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.