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@COMMENT This file came from Patrick Riley's publication pages at
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@InCollection{DARS-AdvClass,
  author =	 {Patrick Riley and Manuela Veloso},
  title =	 {On Behavior Classification in Adversarial
                  Environments},
  booktitle =	 {Distributed Autonomous Robotic Systems 4},
  pages =	 {371--380},
  publisher =	 {Springer-Verlag},
  year =	 2000,
  editor =	 {Lynne E. Parker and George Bekey and Jacob Barhen},
  abstract =	 {In order for robotic systems to be successful in
                  domains with other agents possibly interfering with
                  the accomplishing of goals, the agents must be able
                  to adapt to the opponents' behavior. The more
                  quickly the agents can respond to a new situation,
                  the better they will perform. 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. In order to take into
                  account the spatial locality of topological
                  differences, we use a previously developed
                  similarity metric. 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},
}