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Cycle frequency in standard Rock–Paper–Scissors games: Evidence from experimental economics
- Source :
- Physica A: Statistical Mechanics and its Applications. 392:4997-5005
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- The Rock-Paper-Scissors (RPS) game is a widely used model system in game theory. Evolutionary game theory predicts the existence of persistent cycles in the evolutionary trajectories of the RPS game, but experimental evidence has remained to be rather weak. In this work we performed laboratory experiments on the RPS game and analyzed the social-state evolutionary trajectories of twelve populations of N=6 players. We found strong evidence supporting the existence of persistent cycles. The mean cycling frequency was measured to be $0.029 \pm 0.009$ period per experimental round. Our experimental observations can be quantitatively explained by a simple non-equilibrium model, namely the discrete-time logit dynamical process with a noise parameter. Our work therefore favors the evolutionary game theory over the classical game theory for describing the dynamical behavior of the RPS game.<br />Comment: 7 Page, 3 figure; Keyword: Rock-Paper-Scissors game; cycle; social state; population dynamics; evolutionary trajectory
- Subjects :
- Statistics and Probability
Physics - Physics and Society
Social state
Rock–Paper–Scissors game
Population dynamics
Normal-form game
Logit
Populations and Evolution (q-bio.PE)
Evolutionary game theory
FOS: Physical sciences
Physics and Society (physics.soc-ph)
Cycle
Experimental economics
Condensed Matter Physics
Nonlinear Sciences - Adaptation and Self-Organizing Systems
Equilibrium selection
FOS: Biological sciences
Simulations and games in economics education
Evolutionary trajectory
Quantitative Biology - Populations and Evolution
Adaptation and Self-Organizing Systems (nlin.AO)
Mathematical economics
Game theory
Mathematics
Implementation theory
Subjects
Details
- ISSN :
- 03784371
- Volume :
- 392
- Database :
- OpenAIRE
- Journal :
- Physica A: Statistical Mechanics and its Applications
- Accession number :
- edsair.doi.dedup.....21340409bb69ce221cd8ee233367a8d2