Bücher der Reihe Studies in Computational Intelligence

"Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e.

The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi's ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.

The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year.

This book represents the peer-reviewed proceedings of the Second International Symposium on Intelligent Distributed Computing - IDC 2008 held in Catania, Italy during September 18-19, 2008.

Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear.

" Although there is a standardized form of stating any scheduling problem, namely "e?cient allocation ofn jobs onm machines -which can process no more than one activity at a time- with the objective to optimize some - jective function of the job completion times", scheduling is in fact a family of problems.

The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the "standard" CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc.

This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. The classes of images dealt with are mostly multispectral-hyperspectral images.

This book includes 37 chapters which discuss examples of the application of intelligence technologies to five separate fields that reflect the main streams of practical and scientific interest within the computer related community.

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so.

The Behavioral Approach for systems and control deals directly with the solution of the differential equations which represent the system. This book reviews this approach and offers new theoretic results. The programs and algorithms are MATLAB based.

This monograph presents a comprehensive introduction to timed automata (TA) and time Petri nets (TPNs) which belong to the most widely used models of real-time systems.

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.

This book provides a practical introduction to computationally solving discrete optimization problems using dynamic programming. From the examples presented, readers should more easily be able to formulate dynamic programming solutions to their own problems of interest.

The traveling salesman problem's feasible solutions - permutations of city labels - c- prise a ?nite, discrete set. The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete.

Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems;

Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

In general, multi-agent systems that use swarm intelligence are said to be swarm intelligent systems. This volume reviews innovative methodologies of swarm intelligence, outlines the foundations of engineering swarm intelligent systems and applications, and relates experiences using the particle swarm optimisation.

This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets.

This book presents issues concerning the neurophysiological aspects of executing cognitive thought processes and the basics of cognitive informatics and new proposals of UBIAS systems dedicated to the meaning-based analysis of selected types of medical images.

The cognitive decision support system (DSS) provides excellent insight into the research and development of business intelligence. This volume presents current DDS technologies and the fundamentals that support them, in a systematic way.

This book introduces major advances of the harmony search algorithm in recent years. Topics cover theory and application and include robotics, visual tracking, web text data mining, power flow planning, fuzzy control system, irrigation, logistics and more.

We are facing an immense growth of digital data and information resources, both in terms of size, complexity, modalities and intrusiveness. The spectrum of data being digitally stored runs from multimedia data repositories to your purchases in most stores.

Suitable for the newcomers and younger researchers in the area of machine learning, data analysis and data mining, this title covers various topics and aspects of the fields involved.

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop "From motor to interaction learning in robots" held at the IEEE/RSJ International Conference on Intelligent Robot Systems.

This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.

Clear and insightful, this introduction to a new discipline of knowledge deals with modeling, recognition and control of human emotions. It uses mathematical models to analyze the artificial control of emotion and the interaction between emotion and logic.

Web Personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. This book talks about effective personalization, the usage and click-stream data (reflecting user behaviour), the site content, the site structure, domain knowledge, as well as user demographics and profiles.