β Scribed by George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain (eds.)
No coin nor oath required. For personal study only.
This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous.
The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.Front Matter....Pages i-x
Intelligent Computing Systems....Pages 1-4
Semantic Tools; Their Use for Knowledge Management in the Public Sector....Pages 5-37
From Game Theory to Complexity, Emergence and Agent-Based Modeling in World Politics....Pages 39-85
A Semantic Approach for Representing and Querying Business Processes....Pages 87-114
Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities....Pages 115-131
Spatial Environments for m-Learning: Review and Potentials....Pages 133-159
Science Teachersβ Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece....Pages 161-175
Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machine for Fault Identification with Application to Boiling Water Reactors....Pages 177-188
A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization....Pages 189-205
An Energy Management Platform for Smart Microgrids....Pages 207-225
Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System....Pages 227-246
Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-Matrices of Self Organising Maps....Pages 247-270
Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization....Pages 271-298
Car-Like Mobile Robot Navigation: A Survey....Pages 299-327
Computing a Similarity Coefficient for Mining Massive Data Sets....Pages 329-350
A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space....Pages 351-368
Computational Intelligence; Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p>Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problem
Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems i
<p><span>This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary comput
<p><span>This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary comput
<p></p><p></p><span>This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broa