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

Ali, Ali Hilal

 
9783659490200: Advanced Bayesian Networks with Comparative Probability: A new approach to the theory of probability and its applications to aviation safety and intensive care units
Couverture souple
ISBN 10 : 3659490202 ISBN 13 : 9783659490200
Editeur : LAP LAMBERT Academic Publishing, 2013

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659490202
ISBN 13 
9783659490200
Reliure
Broché
Nombre de pages
280
Coordonnées du fabricant
non disponible
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