The Dynamics of Associative Learning in an Evolved Situated Agent

Izquierdo, Eduardo and Harvey, Inman (2007) The Dynamics of Associative Learning in an Evolved Situated Agent. In: Proceedings of European Conference on Artificial Life, 2007, Lisbon.

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Abstract

Artificial agents controlled by dynamic recurrent node net- works with fixed weights are evolved to search for food and associate it with one of two different temperatures depending on experience. The task requires either instrumental or classical conditioned responses to be learned. The paper extends previous work in this area by requiring that a situated agent be capable of re-learning during its lifetime. We anal- yse the best-evolved agents behaviour and explain in some depth how it arises from the dynamics of the coupled agent-environment system.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Eduardo Jose Izquierdo-Torres
Date Deposited: 06 Feb 2012 21:15
Last Modified: 13 Apr 2012 13:40
URI: http://sro.sussex.ac.uk/id/eprint/30478
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