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Emotions are an important aspect of human intelligence and have been shown to play a significant role in the human decision-making process. Researchers in areas such as cognitive science, philosophy, and artificial intelligence have proposed a variety of models of emotions. Most of the previous models focus on an agent's reactive behavior, for which they(More)
Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models for teamwork are limited in their ability to support proactive information exchange among teammates. To address this issue, we have developed and implemented a multi-agent(More)
The emergence of what is now called 'emotional intelligence' has revealed yet another aspect of human intelligence. Emotions have been shown to have a major impact on many of our everyday functions, including decision-making, planning, communication, and behavior. AI researchers have recently acknowledged this major role that emotions play, and thus have(More)
In this article, we propose a novel method for using images to do spatial reasoning. The task we consider is to answer questions about descriptions involving spatial prepositional phrases. Psychological experiments suggest that imagery is an appropriate cognitive model of how people solve such problems when descriptions are determinate. However, natural(More)
In this paper, we describe a new scheme to learn dynamic user's interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a(More)
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by putting them through scenarios, which allow them to practice their team skills. There are two important roles that intelligent agents can play; these are virtual team members, and(More)
In this paper we present a novel Incremental Hierarchical Clustering (IHC) algorithm. Our approach aims to construct a hierarchy that satisfies the homogeneity and the monotonicity properties. Working in a bottom-up fashion, a new instance is placed in the hierarchy and a sequence of hierarchy restructuring process is performed only in regions that have(More)
In a multi-agent system, how agents accomplish a goal task is usually specified by multi-agent plans built from basic actions (e.g. operators) of which the agents are capable. A critical problem with such an approach is how can the designer make sure the plans are reliable. To tackle this problem, this paper presents a formal approach for modeling and(More)
Designing efficient resource allocation mechanism for computational grids is extremely challenging because the effective agents in computational grids are inherently self-interested due to their different ownerships. Providing incentive for agents to share their resource with others is the key to make computational grids realistic. The global efficiency(More)