Authors:
Noriyuki Hatakenaka
;
Shigemasa Matsuo
;
Kiriko Sakata
and
Munehiro Nishida
Affiliation:
Hiroshima University, Japan
Keyword(s):
Group Decision Making, Agent-based Simulations, Social Force Model.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Group Decision Making
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
Crowd behavior depends on social interaction among group members. In particular, there has been considerable interest in the decision-making of such a group on their movement during travel. Here we discuss the decision-making processes in choice selection between two things, i. .e., alternative, by means of numerical simulations based on social force model developed by Helbing et al. This allows us to introduce an individual decision-making process into the decision-making of the whole group through psychological parameter, the so-called dependence p, equivalent to panic parameter in an emergency evacuation. We demonstrate the conflict that arises in the decision-making between an individual and the group in alternative. In addition, we reconfirmed a similar stochastic collective behavior in the decision-making processes observed by Couzin et al. in traveling animals at the large p regimes even if there are no leaders in the group. On the other hand, individualistic behavior is prono
unced in smaller p regimes. This feature prevents the formation of group, leading to no collective decision-making anymore. Therefore, the parameter p is a key to consider in the decision-making of both the individual and the group.
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