Computational Models of Complex Systems
Language: English
Published by Springer, 2016
Series: Book 32 of 188 - Intelligent Systems Reference Library
- Softcover
- Used

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- Title
- Computational Models of Complex Systems
- Author
- Mago, Vijay Kumar (EDT); Dabbaghian, Vahid (EDT)
- Publisher
- Springer
- Publication year
- 2016
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319348256
- ISBN 13
- 9783319348254
- Series
- Book 32 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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