Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making

Author(s):  
Iván Palomares ◽  
Francisco J. Quesada ◽  
Luis Martínez
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Allegra A. Beal Cohen ◽  
Rachata Muneepeerakul ◽  
Gregory Kiker

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.


2021 ◽  
Vol 100 ◽  
pp. 106937
Author(s):  
Xiao Tan ◽  
Jianjun Zhu ◽  
Francisco Javier Cabrerizo ◽  
Enrique Herrera-Viedma

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