This paper proposes a systematized presentation and a terminology for observations in a
Bayesian network. It focuses on the three main concepts of uncertain evidence, namely …

In order to simplify the information exchange within the medical diagnosis process, a
collaborative software agents framework is presented. The human body systems (eg …

In this paper we describe architecture and implementation of a Probabilistic Agent-Based
Intrusion Detection (PAID) system. The PAID system has a cooperative agent architecture …

We show that existing Bayesian network (BN) modelling techniques cannot capture the
correct intuitive reasoning in the important case when a set of mutually exclusive events …

Purpose–Large supply and computer networks contain heterogeneous information and
correlation among their components, and are distributed across a large geographical region …

This paper is concerned with a development of a theory on probabilistic models, and in
particular Bayesian networks, when handling continuous variables. While it is possible to …

We present a multiagent organization for data interpretation and fusion in which each agent
uses an encapsulated Bayesian network for knowledge representation, and agents …

In this paper we analyze the performance of three algorithms for soft evidential update, in
which a probability distribution represented by a Bayesian network is modified to a new …

Security management of modern supply systems raise challenges to various aspects of
Supply Chain Management (SCM) researches, demanding an integrated and holistic …

Formal logical tools are able to provide some amount of reasoning support for information
analysis, but are unable to represent uncertainty. Bayesian network tools represent …