Bøger i Studies in Computational Intelligence serien

The theory of formal languages is widely recognized as the backbone of theoretical computer science, originating from mathematics and generative linguistics, among others.

The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services.

The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines.

We often come across computational optimization virtually in all branches of engineering and industry. This title presents some of the developments with a focus on the design of algorithms for computational optimization and their applications in practice.

First studied in social insects like ants, indirect self-organizing interactions - known as "stigmergy" - occur when one individual modifies the environment and another subsequently responds to the new environment.

Such approaches are able to provide optimal or quasi-optimal solutions to a plethora of difficult combinatorial optimisation problems.The application of metaheuristics to combinatorial optimisation is an active field in which new theoretical developments, new algorithmic models, and new application areas are continuously emerging.

Artists and creators in interactive art and interaction design have long been conducting research on human-machine interaction.

Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread.

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. This book contains the latest research in the area of knowledge processing and decision making in agent-based systems.

Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable reference.

Intelligent agents have revolutionised the way we do business, we teach, we learn, design systems, and so on. The book presents a sample of some of the most innovative research on the use of intelligent agents in the evolution of Web.

The book consists of 31 chapters in which the authors deal with multiple aspects of modeling, utilization and implementation of semantic methods for knowledge management and communication in the context of human centered computing.

The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies.

Intelligent paradigms play a tremendous role in the field of Assistive and Preventive Healthcare (APH). This book presents some of the latest research in the field of APH by most prestigious researchers. Coverage includes Multimedia medical informatics; Electronic Locomotion Aids, and Multimedia Communication Systems for the Blind;

Continuing where the last volume left off, this publication covers cutting-edge research into intelligent machines, including innovative applications such as document processing, language translation, and lightweight reprogramming for wireless sensor networks.

This volume of Springer's Studies in Computational Intelligence features a dozen outstanding papers from SERA 2011, covering a range of key topics that take in theory, applications and tools, as well as ways in which practical challenges have been overcome.

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.

Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem.

This volume describes the application of pattern recognition and classification approaches. Methods include handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, and more.

With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting.

Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing).

This book highlights the influence of the agency perspective in Human-Computer Interaction through a careful selection of research contributions. It provides hands-on-experience by covering representative case studies and offering essential design guidelines.

During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community.

This book is a selection of results obtained within one year of research performed under SYNAT - a nation-wide scientific project aiming to create an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland.

This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions.

This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing.

The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.

The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.