Paper
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.
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.
Javier Díez
/ Last update: February 22 1999.