The dynamics of self-referential paradoxical games

J. S. Nicolis, T. Bountis, K. Togias

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Paradoxical games are non-constant sum, non-negotiable conflicts, in which two contestants (players) blackmail each other, acting as components of a nonlinear dynamical system characterized by time varying probabilities of cooperation. Such games are 'paradoxical' in the sense that both players could win or lose simultaneously and are called 'self-referential' if the parameters of the system depend explicitly on the contestants' probabilities of cooperation. Previously studied two-contestant models with constant parameters were found to be 'conservative', possessing two centres around which the game can oscillate forever. In this paper, we first study the case where all parameters are allowed to vary and find that the dynamics becomes 'dissipative', possessing a single fixed point attractor of moderate equal gains. On this attractor large subsets of initial conditions (strategies) converge as t → ∞ and attain constant cooperation probabilities. If both contestants cooperate 'equally disregarding' the other's tendency to do so, the attractor moves closer to the state of 'maximum pay-off', where both parties cooperate with probability 1. However, in the asymmetric case, where one of the players 'takes less into account' the other's tendency to cooperate, it is the more 'indifferent' player who profits the most! Partially self-referential games, in which only the 'gain' or 'loss' factors due to defection vary by a small parameter ε, lead to the state of full cooperation (and maximum gain), as the stable fixed points of the ε = 0 case either become repellors, or are eliminated via a pitchfork and a saddle-node bifurcation.

Original languageEnglish
Pages (from-to)319-332
Number of pages14
JournalDynamical Systems
Volume16
Issue number4
DOIs
Publication statusPublished - Dec 1 2001

ASJC Scopus subject areas

  • Mathematics(all)
  • Computer Science Applications

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