Informatica

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Veska Noncheva

Pub. online: 1 Jan 1999 Type: Research Article

Journal: Informatica Volume 10, Issue 4 (1999), pp. 403–426

Abstract

The aim of the article is to show a stochastic approach for both modelling and optimizing the statistical agent belief in a probability model.

Two networks are defined: a decision network

$\mathfrak{D}$ of the agent belief state and a utility network

$\mathfrak{U}$ , presenting the utility structure of the agent belief problem.

The agent belief is presented via the following three items (

$\mathfrak{B},\mathfrak{D},\mathfrak{U}$ ), where

$\mathfrak{B}$ is a Bayesian network, presenting the probability structure of the agent belief problem.

Two propagation algorithms in

$\mathfrak{D}$ and in

$\mathfrak{U}$ are also presented.

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