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Article . 2023
License: CC BY
Data sources: ZENODO
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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Modeling Entropy in Duopolistic Competition: A Game Theory Approach

Authors: Suvechcha Sengupta; Sanjeev C. Panandikar;

Modeling Entropy in Duopolistic Competition: A Game Theory Approach

Abstract

Abstract: This paper introduces a theoretical model to incorporate deviation in rational behaviour of players in the form of increased uncertainty. This uncertainty is modeled as entropy of information in the model and the model is validated using a Duopolistic Competition scenario. It is observed that players are ready to forego a portion of their payoff as long as the opponent is facing equal or more losses owing to the increased uncertainty in the game. The paper uses a Quadratic Programing approach to obtain the optimized results of the theoretical model. Keywords: Game Theory, Rationality, Entropy, Information, Duopolistic Competition JEL Classification Number: C72 D01 D43 D81

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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