The Social Entropy Process: Axiomatising the Aggregation of Probabilistic Beliefs
نویسنده
چکیده
The present work stems from a desire to combine ideas arising from two historically different schemes of probabilistic reasoning, each having its own axiomatic traditions, into a single broader axiomatic framework, capable of providing general new insights into the nature of probabilistic inference in a collective context. In the present sketch of our work we describe briefly the background context, present a set of natural principles for a broader axiomatic approach to aggregating subjective probabilistic beliefs than that taken historically, and finally define a general method of aggregating the partial subjective probabilistic beliefs of several individuals into a single “social” probability distribution in a manner which satisfies those principles. We call this method of aggregation the Social Entropy Process (SEP).
منابع مشابه
Generalising the Maximum Entropy Inference Process to the Aggregation of Probabilistic Beliefs
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