Summary
Software agent technology is currently based on fixed ontologies and languages, hand-crafted for a particular application. The advent of massively distributed systems however calls for not only a common language between all agents involved but also the ability to autonomously adapt and form concepts about novel experiences and events. We propose a method by which agents can autonomously form new concepts grounded in their own experience. This is an improvement on previous approaches because it can tackle a much wider range of conceptual types and provides an efficient, accurate representation which can be used in a rule based system. Furthermore, our method allows an agent to simultaneously learn new concepts and the rules to govern its behaviour whilst providing a more robust system which adapts well to both new and changeable environments.
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© 2005 Springer-Verlag Berlin Heidelberg
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Langham, E., Bullock, S. (2005). Autonomous Concept Formation in Agents for Exploitation of Novel Environments. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_132
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DOI: https://doi.org/10.1007/3-540-32391-0_132
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25055-5
Online ISBN: 978-3-540-32391-4
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