Decision Making in Complex Systems

The DeciMaS Agent-based Interdisciplinary Framework Approach

  • Marina V. Sokolova
  • Antonio Fernández Caballero

Part of the Intelligent Systems Reference Library book series (ISRL, volume 30)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 1-18
  3. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 19-45
  4. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 47-88
  5. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 89-138
  6. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 139-167
  7. Marina V. Sokolova, Antonio Fernández Caballero
    Pages 169-172
  8. Back Matter
    Pages 1-12

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.



Agent-based Software Engineering Complex Systems Decision Making Intelligent Systems

Authors and affiliations

  • Marina V. Sokolova
    • 1
  • Antonio Fernández Caballero
    • 2
  1. 1., Departamento de Sistemas InformáticosAlbacete Universidad de CastillaAlbaceteSpain
  2. 2.Escuela de Ingenieros Industriales de, AlbaceteUniversidad de Castilla-La ManchaAlbaceteSpain

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-25543-4
  • Online ISBN 978-3-642-25544-1
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site