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作 者:Mirhossein Mousavi Karimi Shahram Rahimi Mirhossein Mousavi Karimi;Shahram Rahimi(Department of Computer Science and Engineering, Mississippi State University, Starkville, USA)
机构地区:[1]Department of Computer Science and Engineering, Mississippi State University, Starkville, USA
出 处:《International Journal of Intelligence Science》2024年第1期22-47,共26页智能科学国际期刊(英文)
摘 要:This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems where actors’ positions are distributed over a position spectrum. We generalize the concept of position in the model to incorporate continuous positions for the actors, enabling them to have more flexibility in defining their targets. We explore different possible functions to study the role of the position function and discuss appropriate distance measures for computing the distance between the positions of actors. To validate the proposed extension, we demonstrate the trustworthiness of our model’s performance and interpretation by replicating the results based on data used in earlier studies.This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems where actors’ positions are distributed over a position spectrum. We generalize the concept of position in the model to incorporate continuous positions for the actors, enabling them to have more flexibility in defining their targets. We explore different possible functions to study the role of the position function and discuss appropriate distance measures for computing the distance between the positions of actors. To validate the proposed extension, we demonstrate the trustworthiness of our model’s performance and interpretation by replicating the results based on data used in earlier studies.
关 键 词:Distributed Position Function Game Theory Group Decision Making Predictive Analytics
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