Learning and adaptation of skills in autonomous physical agents
Veres, Sandor M. and Veres, Aron G. (2008) Learning and adaptation of skills in autonomous physical agents. In, 17th World Congress of International Federation of Automatic Control (IFAC), Seoul, Korea, 06 - 10 Jul 2008. Seoul, Korea, Elsevier - Pergamon Press6pp, 2671-2676.
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Description/Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
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| Related URLs: | |
| Keywords: | intelligent physical agents, formal methods, learning, adaptive control modelling for control |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | University Structure - Pre August 2011 > School of Engineering Sciences > Electro-Mechanical Engineering University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design University Structure - Pre August 2011 > School of Engineering Sciences > Astronautics |
| Item ID: | 66022 |
| Date Deposited: | 20 Apr 2009 |
| Last Modified: | 02 Mar 2012 12:53 |
| Contributors: | Veres, Sandor M. (Author) Veres, Aron G. (Author) |
| Date: | 6 July 2008 |
| Status: | Published |
| Publisher: | Elsevier - Pergamon Press |
| URI: | http://eprints.soton.ac.uk/id/eprint/66022 |
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