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

The irrelevant information principle for collective probabilistic reasoning

Within the framework of discrete probabilistic uncertain reasoning a large literature exists justifying the maximum entropy inference process, ME, as being optimal in the context of a single agent whose subjective probabilistic knowledge base is consistent. In particular Paris and Vencovská completely characterised the ME inference process by means of an attractive set of axioms which an infere...

A multi agent method for cell formation with uncertain situation, based on information theory

This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

Generalising the Maximum Entropy Inference Process to the Aggregation of Probabilistic Beliefs

Intelligent Agents for Multi-Issue Auctions and Bidding

An approach to auctions and bidding is founded on observations and expectations of the opponents' behavior and not on assumptions concerning the opponents' motivations or internal reasoning. The approach draws ideas from information theory. A bidding agent employs maximum entropy inference to determine its actions on the basis of this uncertain data. Maximum entropy inference may be applied bot...

Inference Processes for Probabilistic First Order Languages

In this thesis we will investigate inference processes for predicate languages. The main question we are concerned with in this thesis is how to choose a probability function amongst those that satisfy a certain knowledge base. This question has been extensively studied for propositional logic and we shall investigate it for rst order languages. We will rst study the generalisation of Minimum D...