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Connectionist Models for Learning Choice Behaviour in Reactive Software

Joyce, Dan W. and Lewis, Paul H. (1999) Connectionist Models for Learning Choice Behaviour in Reactive Software At Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing. , pp. 437-42.

Record type: Conference or Workshop Item (Other)

Abstract

This paper proposes a model of reactive action selection specialised for intelligent software agents. It explores the role of connectionism in providing a computational model of adaptive action selection. Then, the general properties of a network necessary to implement reactive action selection are considered and an architecture proposed. Throughout, similarities with other action selection and connectionist architectures are highlighted. The paper concludes by exploring an application.

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More information

Published date: 1999
Venue - Dates: Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, 1999-01-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 252538
URI: http://eprints.soton.ac.uk/id/eprint/252538
PURE UUID: 8e41fd8d-51c1-430d-8b3e-5162cb795acf

Catalogue record

Date deposited: 22 Feb 2000
Last modified: 18 Jul 2017 10:04

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Contributors

Author: Dan W. Joyce
Author: Paul H. Lewis

University divisions

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