Publication - Using Diagnosis to Learn Contextual Coordination Rules

Authors: Horling, Bryan, and Lesser, Victor
Title: Using Diagnosis to Learn Contextual Coordination Rules
Abstract: Knowing when and how to communicate and coordinate with other agents in a multi-agent system is an important efficiency and reliability question. Contextual rules governing this communication must be provided to the agent, or generated at runtime through environmental analysis. In this paper we describe how the TMS task modeling language is used to encode such contextual coordination rules, and how runtime diagnosis can be used to dynamically update them.
Keywords: Coordination, Diagnosis, IHome, Multi-Agent Systems
Publication: Proceedings of the AAAI-99 Workshop on Reasoning in Context for AI Applications, pp. 70 - 74
Location: Orlando, FL
Publisher: AAAI Press
Date: July 1999
Sources: PS: http://mas.cs.umass.edu/~bhorling/papers/99-15.ps.gz
HTML: http://mas.cs.umass.edu/~bhorling/papers/99-15
PDF: /Documents/99-15.pdf
Reference: Horling, Bryan, and Lesser, Victor. Using Diagnosis to Learn Contextual Coordination Rules. Proceedings of the AAAI-99 Workshop on Reasoning in Context for AI Applications, AAAI Press, pp. 70-74. July 1999.
bibtex:
@article{Horling-130,
  author    = "Bryan Horling and Victor Lesser",
  title     = "{Using Diagnosis to Learn Contextual Coordination
               Rules}",
  journal   = "Proceedings of the AAAI-99 Workshop on Reasoning
               in Context for AI Applications",
  publisher = "AAAI Press",
  pages     = "70-74",
  month     = "July",
  year      = "1999",
  address   = "Orlando, FL",
  url       = "http://mas.cs.umass.edu/paper/130",
}