A Foundational Approach to Generalising the Maximum Entropy Inference Process to the Multi-Agent Context

A Foundational Approach to Generalising the Maximum Entropy Inference Process to the Multi-Agent Context

The present paper seeks to establish a logical foundation for studying axiomatically multi-agent probabilistic reasoning over a discrete space of outcomes. We study the notion of a social inference process which generalises the concept of an inference process for a single agent which was used by Par...

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Bibliographic Details
Main Author: George Wilmers
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Entropy
Subjects:
inference process
maximum entropy
social entropy
Kullback-Leibler
probabilistic reasoning
pooling operator
discrete probability function
probabilistic merging
multi-agent reasoning
Online Access:http://www.mdpi.com/1099-4300/17/2/594

Internet

http://www.mdpi.com/1099-4300/17/2/594

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