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Proceedings Paper

Using cognitive architectures to study issues in team cognition in a complex task environment
Author(s): Paul R. Smart; Katia Sycara; Yuqing Tang
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Paper Abstract

Cognitive social simulation is a computer simulation technique that aims to improve our understanding of the dynamics of socially-situated and socially-distributed cognition. This makes cognitive social simulation techniques particularly appealing as a means to undertake experiments into team cognition. The current paper reports on the results of an ongoing effort to develop a cognitive social simulation capability that can be used to undertake studies into team cognition using the ACT-R cognitive architecture. This capability is intended to support simulation experiments using a team-based problem solving task, which has been used to explore the effect of different organizational environments on collective problem solving performance. The functionality of the ACT-R-based cognitive social simulation capability is presented and a number of areas of future development work are outlined. The paper also describes the motivation for adopting cognitive architectures in the context of social simulation experiments and presents a number of research areas where cognitive social simulation may be useful in developing a better understanding of the dynamics of team cognition. These include the use of cognitive social simulation to study the role of cognitive processes in determining aspects of communicative behavior, as well as the impact of communicative behavior on the shaping of task-relevant cognitive processes (e.g., the social shaping of individual and collective memory as a result of communicative exchanges). We suggest that the ability to perform cognitive social simulation experiments in these areas will help to elucidate some of the complex interactions that exist between cognitive, social, technological and informational factors in the context of team-based problem-solving activities.

Paper Details

Date Published: 22 May 2014
PDF: 14 pages
Proc. SPIE 9122, Next-Generation Analyst II, 91220J (22 May 2014); doi: 10.1117/12.2053287
Show Author Affiliations
Paul R. Smart, Univ. of Southampton (United Kingdom)
Katia Sycara, Carnegie Mellon Univ. (United States)
Yuqing Tang, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 9122:
Next-Generation Analyst II
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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