C++ primer
Self-organization of markets: an example of a computational approach
Computational Economics - Special issue: genetic algorithms
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Artificial Life: A Report from the Frontier Where Computers Meet Biology
Artificial Life: A Report from the Frontier Where Computers Meet Biology
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Bilateral Trade and `Small-World' Networks
Computational Economics
Adaptive Trust and Co-operation: An Agent-Based Simulation Approach
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
Intermediaries in an electronic trade network [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
Proceedings of the 35th conference on Winter simulation: driving innovation
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This paper presents a general C++ platformfor the implementation of a trade network game (TNG) thatcombines evolutionary game play with preferential partner selection.In the TNG, successive generations of resource constrained traderschoose and refuse trade partners on the basis of continually updatedexpected payoffs, engage in risky trades modelled as two-persongames, and evolve their trade strategies over time. The modulardesign of the TNG platform facilitates experimentation withalternative specifications for market structure, trade partnermatching, trading, expectation formation, and trade strategyevolution. The TNG platform can be used to study the evolutionaryimplications of these specifications at three different levels:individual trader attributes, trade network formation, and socialwelfare.