Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
SDML: A Multi-Agent Language for Organizational Modelling
Computational & Mathematical Organization Theory
Strongly typed genetic programming
Evolutionary Computation
The Use of Models - Making MABS More Informative
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Experimentation and Learning in Repeated Cooperation
Computational & Mathematical Organization Theory
Robust Evolutionary Algorithm Design for Socio-economic Simulation
Computational Economics
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It is argued that, due to the complexity of most economic phenomena, thechancesof deriving correct models from a priori principles are very small. Instead,a more descriptiveapproach to modelling should be pursued. Agent-based modelling ischaracterised as a step in thisdirection. However many agent-based models use off-theshelf algorithms fromcomputer sciencewithout regard to their descriptive accuracy. This paper attempts an agentmodel that describesas accurately as possible the behaviour of subjects reported in Sonnemans(1998). It takes aframework for learning that is compatible with thinking in cognitive sciencewithin thisframework attempts to identify the specific process that matchs the behaviourof the subjects.This suggests further modelling improvements and experiments.