Modeling and simulating human teamwork behaviors using intelligent agents

Xiaocong Fan, John Yen

Research output: Contribution to journalReview articlepeer-review

47 Scopus citations

Abstract

Among researchers in multi-agent systems there has been growing interest in using intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is important for training humans in gaining collaborative skills, for supporting humans in making critical decisions by proactively gathering, fusing, and sharing information, and for building coherent teams with both humans and agents working effectively on intelligence-intensive problems. Teamwork modeling is also challenging because the research has spanned diverse disciplines from business management to cognitive science, human discourse, and distributed artificial intelligence. This article presents an extensive, but not exhaustive, list of work in the field, where the taxonomy is organized along two main dimensions: team social structure and social behaviors. Along the dimension of social structure, we consider agent-only teams and mixed human-agent teams. Along the dimension of social behaviors, we consider collaborative behaviors, communicative behaviors, helping behaviors, and the underpinning of effective teamwork-shared mental models. The contribution of this article is that it presents an organizational framework for analyzing a variety of teamwork simulation systems and for further studying simulated teamwork behaviors.

Original languageEnglish (US)
Pages (from-to)173-201
Number of pages29
JournalPhysics of Life Reviews
Volume1
Issue number3
DOIs
StatePublished - Dec 2004

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)
  • Physics and Astronomy(all)
  • Artificial Intelligence

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