Overview
- Latest research on Decision Making in Complex Systems
- Brings together existing methods for decision support systems creation within a more coherent system
- Provides an interdisciplinary flexible methodology for complex, systemic domains and policies
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 30)
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Table of contents (6 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Decision Making in Complex Systems
Book Subtitle: The DeciMaS Agent-based Interdisciplinary Framework Approach
Authors: Marina V. Sokolova, Antonio Fernández Caballero
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-25544-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-25543-4Published: 13 January 2012
Softcover ISBN: 978-3-642-44444-9Published: 22 February 2014
eBook ISBN: 978-3-642-25544-1Published: 13 January 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVI, 184
Topics: Computational Intelligence, Complexity, Artificial Intelligence