Agents with shared mental models for enhancing team decision makings
Decision Support SystemsPublished 17 August 2004
John Yen, Xiaocong Fan, Shuang Sun, Timothy Hanratty, John Dumer
Citations107
SJR quartileQ1
SJR score2.37
SNIP2.59
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TL;DR
Through two sets of experiments in a simulated battlefield, the effectiveness of the decision-theoretic proactive communication strategy in improving team performance and the effectiveness of information fusion as an approach to alleviating the information overload problem faced by distributed decision makers are evaluated.
Abstract
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 a team to anticipate the information needs of teammates and help them with their information needs proactively and effectively. In this paper, we extend CAST with a decision-making module. Through two sets of experiments in a simulated battlefield, we evaluate the effectiveness of the decision-theoretic proactive communication strategy in improving team performance, and the effectiveness of information fusion as an approach to alleviating the information overload problem faced by distributed decision makers.
Keywords
PsychologyComputer ScienceEngineering
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