Dynamic Models of Group Decision Making

Dear Colleagues,

Group decision-making involves multiple individuals collaborating to make choices, often leading to outcomes that differ from those of individual decisions due to social dynamics and interactions. Traditional models typically assume independence among decision-makers, failing to capture the complexities arising from interpersonal influences, shared information, and collective reasoning. Traditional models also lack a description of the dynamics that describe the time course of group decision making and how the interactions among group members evolve over time. This Special Issue addresses these gaps by seeking contributions that describe the probabilistic and dynamic process of group decision making.

The Special Issue welcomes contributions using all forms of probabilistic dynamic systems, including neural network models, Markov models, statistical physics models, and recent applications of quantum models to group decision making.

Prof. Dr. Jerome Busemeyer
Dr. Kumar Akash
Guest Editors

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