Technical Report
F. J. Díez and J. Mira. Distributed reasoning and learning in Bayesian expert systems. Technical Report IA-92-03. Dpto. Informática y Automática, UNED, Madrid, 1992.
19 pages. PostScript (369 KB), zip version (65 KB), BibTeX entry.
Abstract
This paper presents Bayesian networks as a framework for distributed reasoning in expert systems. We discuss methods for evidence propagation, for learning, with emphasis on sequential learning, and for generating linguistic explanations. When a parallel implementation is possible, we describe the computational power, i.e. the information that must be stored and the local calculations that must be performed at every node, in order to get a distributed expert system. Finally, a brief comparison to neural networks is offered.