Patrick F. Riley's Publications

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Towards Behavior Classification: A Case Study in Robotic Soccer

Patrick Riley and Manuela Veloso. Towards Behavior Classification: A Case Study in Robotic Soccer. In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-2000), pp. 1092, AAAI Press, 2000.
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Abstract

Increasingly in domains with multiple intelligent agents, each agent must be able to identify what the other agents are doing. This is especially important when there are adversarial agents inferring with the accomplishment of goals. Once identified, the agents can then respond to recent strategies and adapt to improve performance. We present an approach to doing adaptation which relies on classification of the current adversary into predefined adversary classes. For feature extraction, we present a windowing technique to abstract useful but not overly complicated features. The feature extraction and classification steps are fully implemented in the domain of simulated robotic soccer, and experimental results are presented.

BibTeX

@InProceedings{AAAI-StudentAbstract-AdvClass,
  author =	 "Patrick Riley and Manuela Veloso",
  title =	 "Towards Behavior Classification: A Case Study in
                  Robotic Soccer",
  booktitle =	 aaai2000,
  year =	 2000,
  publisher =	 "AAAI Press",
  wwwnote =	 {<a href="http://www.aaai.org">AAAI Homepage</a>},
  pages = 	 {1092},
  abstract =	 {Increasingly in domains with multiple intelligent
                  agents, each agent must be able to identify what the
                  other agents are doing. This is especially important
                  when there are adversarial agents inferring with the
                  accomplishment of goals. Once identified, the agents
                  can then respond to recent strategies and adapt to
                  improve performance. We present an approach to doing
                  adaptation which relies on classification of the
                  current adversary into predefined adversary
                  classes. For feature extraction, we present a
                  windowing technique to abstract useful but not
                  overly complicated features. The feature extraction
                  and classification steps are fully implemented in
                  the domain of simulated robotic soccer, and
                  experimental results are presented. },
  bib2html_pubtype = {Refereed Conference},
  bib2html_rescat = {Opponent and Teammate Modeling},
  bib2html_funding = {CoABS,ActiveTemplates},
}

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