Forming Consistent Stories During Decision Making by Reinterpreting or Discounting Evidence: An Agent-Based Model

2009 ◽  
Author(s):  
Lydia L. Chen
Keyword(s):  
Decision Making ◽  
Agent Based Model ◽  
Agent Based

scholarly journals Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure

2020 ◽  
Author(s):  
Muqtafi Akhmad ◽  
Shuang Chang ◽  
Hiroshi Deguchi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Preventive Measure ◽  
Agent Based Model ◽  
Agent Based ◽  
Prevention Measure ◽  
Simulation Results

Abstract This paper’s purpose is to clarify groupthink phenomena and to assess the devil’s advocacy as a groupthink prevention measure. An agent-based model is presented to formalize group closed-mindedness and insulation in a group decision making setting. The model was validated by showing that groupthink results in the decision with low quality and the group’s inability to explore more alternatives. Besides that, the devil’s advocacy also formulated in the model. The simulation results of different conditions of the devil’s advocacy support Janis’ suggestion to utilize the devil’s advocacy to alleviate groupthink. It is also found that the utilization of devil’s advocacy depends on the group’s condition and the desired amount of conflict to produce the best decision.

scholarly journals Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making

Energy Policy ◽  
2017 ◽  
Vol 101 ◽  
pp. 317-331 ◽  
Author(s):  
Jose F. Alfaro ◽  
Shelie Miller ◽  
Jeremiah X. Johnson ◽  
Rick R. Riolo
Keyword(s):  
Decision Making ◽  
Stakeholder Engagement ◽  
Agent Based Model ◽  
System Planning ◽  
Agent Based ◽  
Electricity System

scholarly journals Agent based model

2020 ◽  
Vol 55 ◽  
pp. S187-S191 ◽  
Author(s):  
S. Bai ◽  
W. Raskob ◽  
T. Müller
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Intelligent Agents ◽  
Decision Making Process ◽  
Agent Based Model ◽  
Radiological Emergency ◽  
Agent Based ◽  
Computational Implementation ◽  
Protection Strategies ◽  
Decision Making Processes

In the CONFIDENCE project, we developed an agent based model (ABM) to simulate the decision making process involving stakeholders of different interests. Our model aims to support decisions on the most suitable protection strategies in different accident phases. The intelligent agents and the models of the negotiation/voting process are described in the paper. Given five scenarios, the numerical results from the computational implementation of the ABM are visualized and analysed in order to better understand the negotiation and voting processes. Our ABM can be expanded in order to support the decision making processes of many different stakeholders of various types of risk management apart from nuclear and radiological emergency management.

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