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Decision Making In Complex Systems The Decimas Agentbased Interdisciplinary Framework Approach 1st Edition Marina V Sokolova

  • SKU: BELL-2507952
Decision Making In Complex Systems The Decimas Agentbased Interdisciplinary Framework Approach 1st Edition Marina V Sokolova
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Decision Making In Complex Systems The Decimas Agentbased Interdisciplinary Framework Approach 1st Edition Marina V Sokolova instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 6.81 MB
Pages: 184
Author: Marina V. Sokolova, Antonio Fernández Caballero (auth.)
ISBN: 9783642255434, 3642255434
Language: English
Year: 2012
Edition: 1

Product desciption

Decision Making In Complex Systems The Decimas Agentbased Interdisciplinary Framework Approach 1st Edition Marina V Sokolova by Marina V. Sokolova, Antonio Fernández Caballero (auth.) 9783642255434, 3642255434 instant download after payment.

The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others.

Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems.

The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.

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