A Theoretical Framework on Proactive Information Exchange in Agent Teamwork

A Theoretical Framework on Proactive Information Exchange in Agent Teamwork (2005)

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by Xiaocong Fan , John Yen , Richard A. Volz

Venue:	ARTIFICIAL INTELLIGENCE
Citations:	16 - 11 self

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Datum	Value	Source
TITLE	A Theoretical Framework on Proactive Information Exchange in Agent Teamwork	user correction
AUTHOR NAME	Xiaocong Fan	user correction
AUTHOR AFFIL	School of Information Sciences and Technology,; The Pennsylvania State University, University Park, PA16802	user correction
AUTHOR ADDR	USA	user correction
AUTHOR NAME	John Yen	user correction
AUTHOR AFFIL	a School of Information Sciences and Technology,; The Pennsylvania State University, University Park, PA16802	user correction
AUTHOR ADDR	USA	user correction
AUTHOR NAME	Richard A. Volz	user correction
AUTHOR AFFIL	Department of Computer Science,; Texas A&M University, College Station	user correction
AUTHOR ADDR	TX 77843, USA	user correction
ABSTRACT	Proactive information delivery is critical to achieving effective teamwork. However, existing theories do not adequately address proactive information delivery. This paper presents a formal framework for proactive information delivery in agent teamwork. First, the concept of information need is introduced. Second, a new modal operator, InfoNeed is used to represent information needs. The properties of the InfoNeed operator and its relationships to other mental modal operators are examined, four types of information needs are formally identified, and axioms for anticipating the information needs of other agents are proposed and justified. Third, the axiom characterizing chains of helpful behavior in large agent teams is given. Fourth, the semantics for two proactive communicative acts (ProInform and 3PTSubscribe) is given using a reformulation of the Cohen-Levesque semantics for communicative acts in terms of the SharedPlans formalism of Grosz and Kraus. The work in this paper not only provides a better understanding of the underlying assumptions required to justify proactive information delivery behavior, but also provides a coherent basis for the specification and design of agent teams with proactive information delivery capabilities.	user correction
YEAR	2005	INFERENCE
VENUE	ARTIFICIAL INTELLIGENCE	user correction
VENUE TYPE	JOURNAL	INFERENCE
PAGES	2005	INFERENCE
VOLUME	169	INFERENCE
CITATIONS	102 found	ParsCit 1.0