Intelligent Computing Systems: Emerging Application Areas

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.

Table of Contents

Chapter 1 Intelligent Computing Systems
Chapter 2 Semantic Tools; Their Use for Knowledge Management in the Public Sector
Chapter 3 From Game Theory to Complexity, Emergence and Agent-Based Modeling in World Politics
Chapter 4 A Semantic Approach for Representing and Querying Business Processes
Chapter 5 Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities
Chapter 6 Spatial Environments for m-Learning: Review and Potentials
Chapter 7 Science Teachers’ Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece
Chapter 8 Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machine for Fault Identification with Application to Boiling Water Reactors
Chapter 9 A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization
Chapter 10 An Energy Management Platform for Smart Microgrids
Chapter 11 Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System
Chapter 12 Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-Matrices of Self Organising Maps
Chapter 13 Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization
Chapter 14 Car-Like Mobile Robot Navigation: A Survey
Chapter 15 Computing a Similarity Coefficient for Mining Massive Data Sets
Chapter 16 A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space