| Description |
1 online resource (xi, 196 pages) : illustrations |
| Series |
Intelligent Systems Reference Library, 1868-4394 ; volume 53 |
|
Intelligent systems reference library ; 53. 1868-4394
|
| Contents |
Computational Models of Complex Systems: An Introduction / Vijay Kumar Mago and Vahid Dabbaghian -- A Kabbalah System Theory Modeling Framework for Knowledge Based Behavioral Economics and Finance / Gabriel Burstein and Constantin Virgil Negoita -- The Commodity Exporting Country A Spectral Analysis of Brazilian and Australian Equity Markets / David Gray and John McManus -- Probabilistic European Country Risk Score Forecasting Using a Diffusion Model / R. Cervelló-Royo, J.-C. Cortés, A. Sánchez-Sánchez, F.-J. Santonja, R. Shoucri and R.-J. Villanueva -- Determining the 'Fault Zone' of Fall Events in Long Term Care / Vijay Kumar Mago, Ryan Woolrych, Stephen N. Robinovitch and Andrew Sixsmith -- Classification of Child Disability Using Artificial Neural Network / Jumi Kalita, Kandarpa Kumar Sarma and Pranita Sarmah -- Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Based HCI / Sridhar P. Arjunan, Wai C. Yau and Dinesh K. Kumar -- Modeling Returned Biomedical Devices in a Lean Manufacturing Environment / Camille Jaggernauth -- EARLI: A Complex Systems Approach for Modeling Land-use Change and Settlement Growth in Early Agricultural Societies / Sonja Aagesen and Suzana Dragićević -- Oscillatory Dynamics of Urban Hierarchies 900-2000 Vulnerability and Resilience / Douglas R. White and Laurent Tambayong -- Preliminary Analytical Considerations in Designing a Terrorism and Extremism Online Network Extractor / Martin Bouchard, Kila Joffres and Richard Frank -- Sampling Emerging Social Behavior in Facebook Using Random Walk Models / C.A. Piña-García and Dongbing Gu |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Online resource; title from PDF title page (SpringerLink, viewed November 4, 2013) |
| Subject |
Mathematical models.
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Models, Theoretical
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mathematical models.
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SCIENCE -- System Theory.
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TECHNOLOGY & ENGINEERING -- Operations Research.
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Ingénierie.
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Mathematical models
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| Form |
Electronic book
|
| Author |
Mago, V. K., editor
|
|
Dabbaghian, Vahid, editor
|
| ISBN |
9783319012858 |
|
3319012851 |
|
3319012843 |
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9783319012841 |
|
