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Towards a Descriptive Model of Agent Strategy Search

By B. Edmonds

Abstract

It is argued that due to the complexity of most economic phenomena, the chances of deriving correct models from a priori principles are small. Instead are more descriptive approach to modelling should be pursued. Agent-based modelling is characterised as a step in this direction. However many agent-based models use off-the-shelf algorithms from computer science without regard to their descriptive accuracy. This paper attempts an agent model that describes the behaviour of subjects reported by Joep Sonnemans as accurately as possible. It takes a structure that is compatible with current thinking cognitive science and explores the nature of the agent processes that then match the behaviour of the subjects. This suggests further modelling improvements and experiments

Topics: Cognitive Psychology, Artificial Intelligence, Complexity Theory, Machine Learning, Philosophy of Science
Year: 1999
DOI identifier: 10.2139/ssrn.185816
OAI identifier: oai:cogprints.org:840

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Citations

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