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Proactive information sharing is a challenging issue faced by intelligence agencies in effectively making critical decisions under time pressure in areas related to homeland security. Motivated by psychological studies on human teams, a team-oriented agent architecture, Collaborative Agents for Simulating Teamwork (CAST), was implemented to allow agents in(More)
This paper describes the concept of workflow merge and methods for merging business processes. We grouped merges in four categories according to the type of merge: sequential, parallel, conditional, and iterative, and describe the corresponding algorithms for performing these operations. We give results that allow us to determine whether a merge operation(More)
One of the challenging issues in the domain of C2 in complex and urban terrain is how to assist human combat staff to effectively collaborate and make decisions under multiple contexts, and to help people switch their attentions to the most urgent decision tasks. This paper describes a comprehensive approach that uses RPD-enabled agents to support timely(More)
There has been much research investigating team cognition, naturalistic decision making, and collaborative technology as it relates to real world, complex domains of practice. However, there has been limited work in incorporating naturalistic decision making models for supporting distributed team decision making. The aim of this research is to support human(More)
Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupling cognitive agent technology and human-centered teamwork to address the informational challenges associated with Command and Control (C2) teams in contemporary military(More)
There has been much research investigating team cognition, naturalistic decision making, and collabora-tive technology as it relates to real world, complex domains of practice. However, there has been limited work in incorporating naturalistic decision making models for supporting distributed team decision making. The aim of this research is to support(More)
Antiterrorist analysts often need to work in teams with the requirement to analyze voluminous amounts of dynamic information in order to assess potential terrorist threats. Analysts have a high cognitive demand complicated by factors that typically the information has restrict access and requires special expertise for interpretation. The goal of this(More)
The Trading Agent Competition has provided a challenging game environment, where competing agents engage in complex decision-making activities in a simulated supply chain domain. We analyze our agent, PSUTAC, together with five other top performing teams on their general strategies for making interrelated procurement, sales, production, and delivery(More)