Axelrod Tournament
This section begins with Axelrod's famous treatment of cooperation via an evolutionary tournament.
Axelrod:Evolution of Altruism
This paper is followed by Kollok's extension of Axelrod' work, showing the effects of his alterations of the tournament rules on the results reported by Axelrod
Kollok:Tournament
This section also includes some tools for students to enter their own strategies into the tournament. This is a useful introduction to how simulation models work, and how changing parameters affect the results.
Tournament Simulation Package (Zipped) Contributed by A. Flache, ICS Netherlands
Tournament Simulation Package (Zipped) from University of Lille.
Evolutionary Models and Genetic Algorithms
Axelrod's extensions to the tournament, and more treatment of evolution of cooperation.
Axelrod Elaborates
The introduction of genetic algorithms for studying the evolution of cooperation
Axelrod on Genetic Algorthims
Macy's treatment of the difference between genetic algorithms (biological evolution) and social learning in solving social dilemmas
Macy Genetic Algorithm and Learning
Macy and Skvoretz treat the problems of trust and cooperation in a 'sociological' evolutionary model.
Macy and Skvoretz: Trust and Cooperation
Tools for Studying Cooperation
Students are given the following agent-based models, developed by Centola, for exploring the effects of environmental factors (such as resource scarcity and population viscosity) on the evolution of cooperation. These models allow students to experiment with parameter settings, as well as to 'look under the hood' and change the code of the model.
Altruism Model (Scarcity)
Cooperation Model (Population Viscosity)
