Editors:
- Presents Computational Models of Complex Systems
- Dedicated to computational modelling as a research tool when investigating complex systems
- Dedicated to Dr. Peter Borwein for his contribution to research and education on his 60th birthday
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 53)
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Table of contents (12 chapters)
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Front Matter
About this book
Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.
Editors and Affiliations
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Department of Computer Science, Troy University, Troy, USA
Vijay Kumar Mago
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The IRMACS Centre, Simon Fraser University The MoCSSy Program, Burnaby, Canada
Vahid Dabbaghian
Bibliographic Information
Book Title: Computational Models of Complex Systems
Editors: Vijay Kumar Mago, Vahid Dabbaghian
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-01285-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-01284-1Published: 13 November 2013
Softcover ISBN: 978-3-319-34825-4Published: 23 August 2016
eBook ISBN: 978-3-319-01285-8Published: 31 October 2013
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: X, 196
Number of Illustrations: 85 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Complexity
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