Intelligent decision technology support in practice / edited by Jeffrey W. Tweedale [and five others ]

Includes index.

Chapter1. Advances in Intelligent Decision-Making Technology Support -- Chapter2. Asset Management Strategies: Risk and Transaction Costs in Simulation -- Chapter3. Decision Support System for Energy Savings and Emissions Trading in Industrial Scenarios -- Chapter4. A Parsimonious Radial Basis Function-Based Neural Network for Data Classification -- Chapter5. Personalized Intelligent Mobility Platform: An Enrichment Approach using Social Media -- Chapter6. Exploiting Alternative Knowledge Visualizations and Reasoning Mechanisms to Enhance Collaborative Decision Making -- Chapter7. Decision-Making in a Distributed and Dynamically Scalable Environments -- Chapter8. Enhancing the Tactical Data Link Decision Support System -- Chapter9. AC3M: The Agent Coordination and Cooperation Cognitive Model -- Chapter10. Wind Rendering in 3D Modeling Landscape Scenes -- Chapter11. Extending the Service Oriented Architecture to Include a Decisional Components -- Chapter12. An Extended Dependability Case to Share Responsibility Knowledge -- Chapter13. Designing a Hybrid Recommendation System for TV Content -- Chapter14. Incompleteness and Fragmentation: Possible Formal Cues to Cognitive Processes behind Spoken Utterances

This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.