Anticipatory Decision-Making Support Using a Bayesian Network
ABSTRACT
The changing Information Warfare environment requires that a decision-maker have effective processes to manage situations. This research paper presents an outline of anticipatory decision-making and indicates the usefulness of the Bayesian method for decision-making support. The Bayesian paradigm provides an elegant approach to pursue rational decisions in uncertain conditions. The main contribution of this constructive study has been to develop a network for time expanded anticipatory decision-making for actions of Information Warfare and Security generally.
AUTHORS
Department of Computer Science, University of Helsinki
Finland
Pertti Kuokkanen has received his Master of Science degree in Computer Science from the University of Helsinki, Finland, in 1999. He is a Doctoral student, and conducts his post-graduate research in computer science with primary interests in modelling of decision support applications. He is currently the Chief of the Kuopio Ordnance Depot at the Defence Forces Materiel Command.
Published In
Journal of Information Warfare
The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.
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