Agent Belief: Presentation, Propagation, and Optimization

Article type: Research Article

Authors: Noncheva, Veska

Affiliations: Faculty of Mathematics and Informatics, University of Plovdiv, 24 Tsar Assen St., 4000 Plovdiv, Bulgaria. E-mail: [email protected], [email protected]

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.

Keywords: agent belief, decision network, utility network

DOI: 10.3233/INF-1999-10404

Journal: Informatica, vol. 10, no. 4, pp. 403-426, 1999