Towards a Descriptive Model of Agent Strategy Search

Edmonds, B. (1999) Towards a Descriptive Model of Agent Strategy Search. [Preprint]

Full text available as:

[img] PDF


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.

Item Type:Preprint
Keywords:induction, strategy, search, computational economics, descriptive modelling, Sonnemans, agent, description, genetic programming, game, auction, modelling methodology, agent-based modelling
Subjects:Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
Computer Science > Complexity Theory
Computer Science > Machine Learning
Philosophy > Philosophy of Science
ID Code:840
Deposited By: Edmonds, Dr Bruce
Deposited On:28 Jan 2000
Last Modified:11 Mar 2011 08:54


Repository Staff Only: item control page