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https://doi.org/10.1017/CBO9780511492082.003

has been cited by the following article:

• TITLE: Game Theory Based Model for Predictive Analytics Using Distributed Position Function

  AUTHORS: Mirhossein Mousavi Karimi, Shahram Rahimi

  KEYWORDS: Distributed Position Function, Game Theory, Group Decision Making, Predictive Analytics

  JOURNAL NAME: International Journal of Intelligence Science, Vol.14 No.1, December 29, 2023

  ABSTRACT: 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.