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 An agent-based model of group decision making in baboons

2007 ◽  
Vol 362 (1485) ◽  
pp. 1699-1710 ◽  
Author(s):  
W.I Sellers ◽  
R.A Hill ◽  
B.S Logan
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Action ◽  
Group Decision ◽  
Activity Patterns ◽  
Action Selection ◽  
Papio Hamadryas ◽  
Agent Based Model ◽  
Agent Based ◽  
Wide Range

We present an agent-based model of the key activities of a troop of chacma baboons ( Papio hamadryas ursinus ) based on the data collected at De Hoop Nature Reserve in South Africa. We analyse the predictions of the model in terms of how well it is able to duplicate the observed activity patterns of the animals and the relationship between the parameters that control the agent's decision procedure and the model's predictions. At the current stage of model development, we are able to show that across a wide range of decision parameter values, the baboons are able to achieve their energetic and social time requirements. The simulation results also show that decisions concerning movement (group action selection) have the greatest influence on the outcomes. Those cases where the model's predictions fail to agree with the observed activity patterns have highlighted key elements that were missing from the field data, and that would need to be collected in subsequent fieldwork. Based on our experience, we believe group decision making is a fertile field for future research, and agent-based modelling offers considerable scope for understanding group action selection.

An agent-based model of group decision making in baboons

2011 ◽  
pp. 454-476
Author(s):  
Russell A. Hill ◽  
Brian S. Logan ◽  
William I. Sellers ◽  
Julian Zappala
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Agent Based Model ◽  
Agent Based

The effects of mental model formation on group decision making: An agent-based simulation

Complexity ◽  
2010 ◽  
Vol 16 (3) ◽  
pp. 49-57 ◽  
Author(s):  
Hiroki Sayama ◽  
Dene L. Farrell ◽  
Shelley D. Dionne
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Mental Model ◽  
Group Decision ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Model Formation

scholarly journals Intra-group decision-making in agent-based models

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Allegra A. Beal Cohen ◽  
Rachata Muneepeerakul ◽  
Gregory Kiker
Keyword(s):  
Decision Making ◽  
Functional Groups ◽  
Group Dynamics ◽  
Group Decision Making ◽  
Local Governments ◽  
Large Scale ◽  
Group Decision ◽  
Social Systems ◽  
Agent Based Models ◽  
Agent Based

AbstractMany agent-based models (ABMs) try to explain large-scale phenomena by reducing them to behaviors at lower scales. At these scales in social systems are functional groups such as households, religious congregations, coops and local governments. The intra-group dynamics of functional groups often generate inefficient or unexpected behavior that cannot be predicted by modeling groups as basic units. We introduce a framework for modeling intra-group decision-making and its interaction with social norms, using the household as our focus. We select phenomena related to women’s empowerment in agriculture as examples influenced by both intra-household dynamics and gender norms. Our framework proves more capable of replicating these phenomena than two common types of ABMs. We conclude that it is not enough to build multi-scale models; explaining social behaviors entails modeling intra-scale dynamics.

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