Modelling of Temperament in an Associative Reinforcement Learning Agent

Z Zatuchna; AJ Bagnall

Modelling of Temperament in an Associative Reinforcement Learning Agent

Research output: Contribution to conference › Paper

Abstract

The idea of temperament refers to the essential properties of the central nervous system that can produce variations in behaviour and influence the ability of an individual to learn and adapt itself to a complex environment. The research represents an attempt to model certain biological aspects of temperament as alternative learning mechanisms. We investigate the influence of the ‘virtual temperament’ on the effectiveness of the learning in maze environments and evaluate the performance of the learning algorithms on two extensive sets of maze problems.

Original language	English
Pages	100-106
Number of pages	7
Publication status	Published - 2006
Event	Symposium on Associative Learning and Reinforcement Learning at Adaptation in Artificial and Biological Systems (AISB'06) - Duration: 1 Jan 2006 → …

Conference

Conference	Symposium on Associative Learning and Reinforcement Learning at Adaptation in Artificial and Biological Systems (AISB'06)
Period	1/01/06 → …

Cite this

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title = "Modelling of Temperament in an Associative Reinforcement Learning Agent",

abstract = "The idea of temperament refers to the essential properties of the central nervous system that can produce variations in behaviour and influence the ability of an individual to learn and adapt itself to a complex environment. The research represents an attempt to model certain biological aspects of temperament as alternative learning mechanisms. We investigate the influence of the {\textquoteleft}virtual temperament{\textquoteright} on the effectiveness of the learning in maze environments and evaluate the performance of the learning algorithms on two extensive sets of maze problems.",

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year = "2006",

language = "English",

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AU - Bagnall, AJ

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AB - The idea of temperament refers to the essential properties of the central nervous system that can produce variations in behaviour and influence the ability of an individual to learn and adapt itself to a complex environment. The research represents an attempt to model certain biological aspects of temperament as alternative learning mechanisms. We investigate the influence of the ‘virtual temperament’ on the effectiveness of the learning in maze environments and evaluate the performance of the learning algorithms on two extensive sets of maze problems.

M3 - Paper

SP - 100

EP - 106

T2 - Symposium on Associative Learning and Reinforcement Learning at Adaptation in Artificial and Biological Systems (AISB'06)

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