Bøger i Studies in Computational Intelligence serien

This book takes a holistic view on mobile and distributed computing systems. Some chapters address core properties of ubiquitous applications including mobility, self-healing and self-organization of both technical and social-technical systems.

This book presents recent advances in intelligent educational machines. It will be of particular interest to engineers, researchers, and graduate students in Computational Intelligence.

This book explores the increasing convergence of Social Media and Semantic Web technologies. It offers up-to-date contributions that illustrate various approaches to this young and emerging technology area.

Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

The topics covered by the contributionsincludenature-inspiredtechniqueslikeGeneticAlgorithms,Ant Colonies, Amorphous Computing, Arti?cial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

This book collects the extended versions of the best papers presented at the 3rd International Conference on Autonomous Robots and Agents, ICARA 2006, held at Palmerston North, New Zealand, December, 2006.

The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

In essence, the dynamics of real world systems (i.e. system models with time varying coefficients, immune systems, swarm intelligent systems, chaotic and fractal systems, stochastic systems, self-organized systems, etc.).

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts.

The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.

The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications.

This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic.

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

This book records advances in using intelligent techniques for technology enhanced learning, and development of e-Learning applications based on such techniques and supported by technology. Covers adaptive learning and data mining techniques, among others.

This is the first book in the special field of masticatory robots for applications including foods texture analysis, dental training and speech therapy. It provides a thorough review of the human masticatory system and is a valuable reference for researchers.

The book provides strong evidence that research on the cognitive processes from arithmetic thought to algebraic thought should take into consideration the socio-cultural context.

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Research in multi-agent systems offers a promising technology for problems with networks, online trading and negotiations but also social structures and communication.

This book introduces a research applications in Web intelligence. It presents a number of innovative proposals which will contribute to the development of web science and technology for the long-term future, rendering this work a valuable piece of knowledge.

The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures.

This annual Symposium was launched by Budapest Tech (previously Budapest Polytechnic) and by the Hungarian Fuzzy Association in 2000, with the aim to bring together Hungarian speaking researchers working on computational intelligence and related topics from all over the world, but with special emphasis on the Central Eu- pean Region.

This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics.

This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains.

The book reports a sample of recent advances in:* Clinical Decision Support Systems* Rehabilitation Decision Support Systems* Technology Acceptance in Medical Decision Support SystemsThe book is directed to the researchers, professors, practitioner and students interested todesign and develop intelligent decision support systems.

This volume constitutes the proceedings of the Fourth International Conference on Computer Science and Its Applications, CIIA 2013. Coverage includes computational intelligence, security network technologies, information technology, and computer systems.

Covers a broad area of evolutionary computation, including genetic algorithms, genetic programming, and estimation of distribution algorithms. This book discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications.

This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. The three Australian authors include a number of chapters on issues of real relevance to today's teaching practice, including an introduction to the evolution of teaching and learning paradigms;