Advanced Bayesian Networks with Comparative Probability | A new approach to the theory of probability and its applications to aviation safety and intensive care units

Publisher

LAP LAMBERT Academic Publishing

Publication Date

2013

Language

English

ISBN 10

3659490202

ISBN 13

9783659490200

Binding

Taschenbuch

Condition

Neu

Dimensions

Weight

435 grams

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B�cher

About this title

Synopsis

The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an informed decision is limited. It has been suggested that the highest level of situation awareness can be achieved by a thorough grasp of particular key elements that, if put together, will synthesize the current status of an environment. The research resulted in a new innovated theory that combines the philosophical comparative approach to probability, the frequency interpretation of probability, dynamic Bayesian networks and the expected utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time.

About the Author

Dr. Ali Hilal Ali received the PhD degree from the School of Computing and Communication Systems, Lancaster University, Lancaster, UK. His main research interests are Artificial Intelligence, Bayesian Networks, aviation safety and security.

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