Dynamic Models of Group Decision Making
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".
Deadline for manuscript submissions: 30 June 2026
Special Issue Editors
Interests: quantum cognition; judgment; decision making; mathematical psychology; cognitive science
Special Issue Information
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
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- group decisions
- dynamical systems
- probabilistic systems
- neural networks
- statistical physics
- Markov diffusion processes
- quantum dynamics
- non-commutative logic
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