TY - JOUR
T1 - Synergy of agent components: Social comparison for failure detection
AU - Kaminka, Gal A.
AU - Tambe, Milind
PY - 1998/1/1
Y1 - 1998/1/1
N2 - An implemented illustration of an explicit component synergy and its usefulness in dynamic multiagent environments is presented. In such environments, agents often have three important abilities: collaboration with other agents; monitoring the agent's own progress; and modeling other agents' beliefs/goals. A synergy between these three components are discussed that results in significant improvement in the capabilities of each component. These improvement include: collaboration of component constrains the search space for the agent-modeling component via maintenance of mutual beliefs and facilitates better modeling; and modeling and collaboration components enable Social Comparison for Failure Detection (SOCFAD).
AB - An implemented illustration of an explicit component synergy and its usefulness in dynamic multiagent environments is presented. In such environments, agents often have three important abilities: collaboration with other agents; monitoring the agent's own progress; and modeling other agents' beliefs/goals. A synergy between these three components are discussed that results in significant improvement in the capabilities of each component. These improvement include: collaboration of component constrains the search space for the agent-modeling component via maintenance of mutual beliefs and facilitates better modeling; and modeling and collaboration components enable Social Comparison for Failure Detection (SOCFAD).
UR - http://www.scopus.com/inward/record.url?scp=31678294&partnerID=8YFLogxK
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JO - Proceedings of the International Conference on Autonomous Agents
JF - Proceedings of the International Conference on Autonomous Agents
ER -