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The book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems, and provide the formal foundations, architecture and implementation strategies required for building dynamic current and future situational pictures, challenges of, and the state of the art computational approaches to designing such processes. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. Also the book examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the role and exploitation of the social media. The editors include examples and case studies from the field of disaster management.
|Publisher:||Springer International Publishing|
|Edition description:||1st ed. 2016|
|Product dimensions:||6.10(w) x 9.25(h) x (d)|
About the Author
Galina L. Rogova is a research professor at the State University of New York at Buffalo.
Peter Scott is an Associate Professor Emeritus at the Department of Computer Science and Engineering, University at Buffalo.
Table of ContentsPreface.- Part I Information fusion, decision making, and crisis management.- Crisis management definitions, characteristics.- The role of fusion in designing crisis management systems.- Higher level fusion processing requirements.- General higher level fusion architecture.- Information exchange and human-computer interaction.- Context in situation management, situation assessment, and decision making.- The evolving role of social media in crisis management.- Supplemental domain specific models.- Part II Methods of crisis domain representation.- Ontological analysis of data, situations and threat.- Ontological analysis of users’ goals, functions, hypotheses.- Cognitive methods and information requirements to support reasoning about data, situations and threat.- Part III Uncertainty representation.- Qualitative methods.- Qualitative methods.- Part IV Information quality and fusion processes.- Information quality ontology.- Quality representation.- Methods of quality control in reasoning and decision support.- Part V Computational approaches to reasoning about situations and threat.- Method for anomaly detection.- Situation calculus.- Belief networks.- Valuation networks.- Influence diagrams.- Case-based reasoning.- Argumentation under uncertainty.- Ontology-based reasoning.- Part VI Decision making for situation management.- The Von Neumann - Arrow framework.- Limits to Maximum Expected Utility theory.- Modern qualitative methods.- Quantitative methods.- Extreme events and decision making.- Part VII Specific crisis scenarios in the domains of homeland security, epidemics, and natural disasters with application of the methods and processes discussed in the book.- Part VIII Challenges and future research directions for designing and integrating higher level fusion and decision making processes for crisis management.