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INTRODUCTION TO THE SPECIAL ISSUE ON LEARNING, OPTIMIZATION, AND THEORY OF G-NETWORKS

Published online by Cambridge University Press:  29 July 2019

Nihal Pekergin
Nihal Pekergin*
Affiliation:
LACL, Faculté des Sciences et Technologie, Université de Paris-Est Créteil, 61 avenue du Général de Gaulle 94010 Créteil, France E-mail: nihal.pekergin@u-pec.fr
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Abstract

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We introduce the special issue on “Learning, Optimization, and the Theory of G-Networks” of the journal Probability in the Engineering and Informational Sciences that appears in 2019. We first outline some of the applications and developments of G-Networks which motivate the ongoing interest for this area, including some areas which could not be covered in this special issue. We then briefly discuss the contributions presented in the ten papers that are published in this special issue in the context of related work.

Keywords

probabilistic networks
Type
Editorial
Information
Probability in the Engineering and Informational Sciences , Volume 35 , Special Issue 1: Learning, Optimization, and Theory of G-Networks , January 2021 , pp. 1 - 5
Copyright
Copyright © Cambridge University Press 2019

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