Gal A. Kaminka: Publications

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Matrix-Based Representation for Coordination Fault Detection: A Formal Approach

Meir Kalech, Michael Lindner, and Gal A. Kaminka. Matrix-Based Representation for Coordination Fault Detection: A Formal Approach. In Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-07), 2007.

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Abstract

Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such failures, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and formal resolution to this problem. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation we present a novel solution for fault-detection that is both generic and efficient for large-scale teams.

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BibTeX

@InProceedings{aamas07mike,
  author = 	 {Meir Kalech and Michael Lindner and Gal A. Kaminka},
  title = 	 {Matrix-Based Representation for Coordination Fault Detection: A Formal Approach},
  OPTcrossref =  {},
  OPTkey = 	 {},
  booktitle = AAMAS-07,
  OPTpages = 	 {In press},
  year = 	 {2007},
  abstract = {
   	Teamwork requires that team members coordinate
	their actions. The representation of the coordination is a key
	requirement since it influences the complexity and flexibility of
	reasoning team-members. One aspect of this requirement is
	detecting coordination faults as a result of intermittent failures
	of sensors, communication failures, etc. Detection of such failures,
	based on observations of the behavior of agents, is of prime
	importance. Though different solutions have been presented thus far,
	none has presented a comprehensive and formal resolution to this
	problem. This paper presents a formal approach to representing
	multi-agent coordination, and multi-agent observations, using matrix
	structures. This representation facilitates easy representation of
	coordination requirements, modularity, flexibility and reuse of
	existing systems. Based on this representation we present a novel
	solution for fault-detection that is both generic and efficient for
	large-scale teams.  },
  wwwnote = {},
  OPTeditor = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTmonth = 	 {},
  OPTorganization = {},
  OPTpublisher = {},
  OPTannote = 	 {}
}

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