The probabilistic games and the Shapley function

Surajit Borkotokey*, Sujata Goala, Rajnish Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Cooperative games with transferable utilities are studied in a probabilistic framework: call them probabilistic games. In this setup, each coalition has some probability of formation, and the worth of the grand coalition is the expectation over its sub-coalitions due to this probability distribution. We propose the Shapley function for the class of probabilistic games. A special subclass of probabilistic games is studied, and the Shapley function for this subclass is characterized. In this special subclass, players make coalitions in a sequential manner, where prior knowledge about their compatibility with one another in a preceding coalition is used to predict the worth of the succeeding coalitions. This is a natural assumption and is never being studied in the literature.

Original languageEnglish
Title of host publicationFuzzy optimization, decision-making and operations research
EditorsChiranjibe Jana, Madhumangal Pal, Ghulam Muhiuddin, Peide Liu
PublisherSpringer Cham
Chapter32
Pages725-742
ISBN (Electronic)9783031356681
ISBN (Print)9783031356674
DOIs
Publication statusPublished - 06 Jun 2023

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