Computational Models of Complex Systems

✍ Scribed by Vijay Kumar Mago, Vahid Dabbaghian (auth.), Vijay Kumar Mago, Vahid Dabbaghian (eds.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 199
• Series: Intelligent Systems Reference Library 53
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
Computational Models of Complex Systems: An Introduction....Pages 1-4
A Kabbalah System Theory Modeling Framework for Knowledge Based Behavioral Economics and Finance....Pages 5-23
The Commodity Exporting Country A Spectral Analysis of Brazilian and Australian Equity Markets....Pages 25-43
Probabilistic European Country Risk Score Forecasting Using a Diffusion Model....Pages 45-58
Determining the ‘Fault Zone’ of Fall Events in Long Term Care....Pages 59-73
Classification of Child Disability Using Artificial Neural Network....Pages 75-87
Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Based HCI....Pages 89-104
Modeling Returned Biomedical Devices in a Lean Manufacturing Environment....Pages 105-118
EARLI: A Complex Systems Approach for Modeling Land-use Change and Settlement Growth in Early Agricultural Societies....Pages 119-139
Oscillatory Dynamics of Urban Hierarchies 900–2000 Vulnerability and Resilience....Pages 141-169
Preliminary Analytical Considerations in Designing a Terrorism and Extremism Online Network Extractor....Pages 171-184
Sampling Emerging Social Behavior in Facebook Using Random Walk Models....Pages 185-196

✦ Subjects

Computational Intelligence;Artificial Intelligence (incl. Robotics);Complexity