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Learning and adaptation of skills in autonomous physical agents

Record type: Conference or Workshop Item (Paper)

A skills learning methodology is presented for autonomous physical agents. Adaptation of skills and learning is a fundamental part of the simple agent behaviours outlined. A general framework of skills learning is described that uses skill macros to define simple behaviours by agents that communicate, sense and act in the physical world. Programmed playfulness can be easily implemented in this framework that plays an important part in acquiring sophisticated skills. Reusability of results in learning algorithms is supported by ontology based classification of learning in skills. Ontologies provide references to object instances that enable modularization of software and easy interfacing of skills with learning algorithms.

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Citation

Veres, Sandor M. and Veres, Aron G. (2008) Learning and adaptation of skills in autonomous physical agents At 17th World Congress of International Federation of Automatic Control (IFAC). 06 - 10 Jul 2008. 6 pp, pp. 2671-2676.

More information

Published date: 6 July 2008
Venue - Dates: 17th World Congress of International Federation of Automatic Control (IFAC), 2008-07-06 - 2008-07-10
Keywords: intelligent physical agents, formal methods, learning, adaptive control modelling for control
Organisations: Astronautics Group

Identifiers

Local EPrints ID: 66022
URI: http://eprints.soton.ac.uk/id/eprint/66022
PURE UUID: 73f8947f-7b43-4940-a184-fa3cc41380e7

Catalogue record

Date deposited: 20 Apr 2009
Last modified: 19 Jul 2017 00:28

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