Reasoning about knowledge
Using collaborative plans to model the intentional structure of discourse
Using collaborative plans to model the intentional structure of discourse
Collaborative plans for complex group action
Artificial Intelligence
Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Goal-driven task analysis: improving situation awareness for complex problem-solving
Proceedings of the 16th annual international conference on Computer documentation
A knowledge-based approach for designing intelligent team training systems
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Flying Together: Modelling Air Mission Teams
Applied Intelligence
The Semantics of Proactive Communication Acts among Team-Based Agents
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Characterizing indirect speech acts
Computational Linguistics
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
The use of knowledge preconditions in language processing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Context-Centric Needs Anticipation Using Information Needs Graphs
Applied Intelligence
Real-time cooperative multi-target tracking by dense communication among Active Vision Agents
Web Intelligence and Agent Systems
Utilization of intelligent agents for supporting citizens in their access to e-government services
Web Intelligence and Agent Systems
Fuzzy Q-Learning with the modified fuzzy ART neural network
Web Intelligence and Agent Systems
State space segmentation for acquisition of agent behavior
Web Intelligence and Agent Systems
Modeling agents with a theory of mind: Theory--theory versus simulation theory
Web Intelligence and Agent Systems
Sequential multi-agent exploration for a common goal
Web Intelligence and Agent Systems
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Members of effective human teams can often anticipate information needs of teammates and offer relevant information to them proactively. Such capabilities are highly desirable for agent teams to achieve better teamwork processes for supporting information gathering, information fusion, and decision makings of teammates. However, there is a lack of agent theories for specifying such proactive agent behavior. The starting point of establishing such a theory is to formally characterize the concept of "information-need" and provide a framework for reasoning about others' information-needs. To this end, in this paper we (1) introduce a modal operator to represent agents' information-needs; (2) investigate levels of information-needs using the idea of precondition-tree; (3) identify several types of information-needs prevalent in agent teamwork; (4) provide and justify the axioms for anticipating others' information-needs; and (5) to complete the framework, introduce an axiom for enabling agents to commit to helping others with their information-needs. This paper thus provides a formal basis for developing agent theories about proactive information delivery behavior.