Cognitive and Probabilistic Models of Group Decision Making
Conference Paper, Proceedings of 24th Conference on Behavior Representation in Modeling and Simulation (BRiMS '15), March, 2015
Abstract
We introduce an experiment designed to study trade-offs in collaborative decision making environments such as the ability to accumulate information and its impact on the fluctuation of decisions. Two models of the experiment are presented: a cognitive model using the ACT-R cognitive architecture and a probabilistic argumentation model using Markov Random Fields. Representative results from the experiment are presented and compared to the results of the two models. Implications of the results and avenues for future work are discussed.
BibTeX
@conference{Tang-2015-120845,author = {Yuqing Tang and Christian Lebiere and Katia Sycara and Don Morrison and Paul Smart},
title = {Cognitive and Probabilistic Models of Group Decision Making},
booktitle = {Proceedings of 24th Conference on Behavior Representation in Modeling and Simulation (BRiMS '15)},
year = {2015},
month = {March},
}
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