Artificial Intelligence Books

Introduces a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). This book shows that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network.

Intelligent IT (iIT) encompasses the theories and applications of artificial intelligence. This collection of papers covers new or major topics in iIT, such as data mining agents, soft computing in MAS, Web agents, ontology technology in MAS, intelligent agents in e-commerce, and more.

Presents research on the theory, models and applications of complex systems in knowledge-based environment. This book includes such topics as advanced knowledge-based paradigms in complex systems, information models and architectures of complex systems, and intelligent agents in complex systems design.

The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased over the years. This book presents a comprehensive collection of works that reflects the developments in the theory and practice of multi-objective Memetic algorithms.

A companion volume to the 'Eleventh INFORMS Computing Society Conference' (ICS 2009), held in Charleston, South Carolina, from January 11 to 13, 2009. It includes refereed research papers that illustrate the wide range of topics on modeling, on optimization and three on general topics, of which two involve stochastic/probabilistic processes.

'Linguistic Values-Based Intelligent Information Processing'.

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. This book covers a wide range of application areas, including design, intelligent control, and signal processing. It is suitable for science and engineering postgraduate students.

The use of Artificial Intelligence (AI) techniques has been greatly increased. The Workshop on Applications with Artificial Intelligence seeks for quality papers on computer applications that incorporate some kind of AI technique.

Researchers have employed many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering.

Useful for courses in artificial intelligence, computer science, and expert systems, this book can be used as supplemental text in courses in computational linguistics. It covers the Prolog programming language with an emphasis on building practical application software. Program files are available by FTP from The University of Georgia.

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. This title also also includes: a generic mobile agent framework toward ambient intelligence developing; actionable trading strategies; agent uncertainty; and model and quantum mechanics representation agent.

A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material.

Presents the research on the theory and applications of the use of intelligent agents in the evolution of Web. This book is based on intelligent agents in Web's knowledge processing, knowledge search and navigation, events handling, decision making, and reasoning.

Provides an excellent introduction and reference to the field of computer security.

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the duality of neural ...

Conceptual modelling and knowledge representation, together with various kinds of inference systems, are important sub-fields in the design and use of information systems. This volume discusses research on the foundations and applications of conceptual modelling in various environments.

The articles in this eighth volume cover a wide variety of problems in the area of information modelling, information systems specification and knowledge bases, ranging from foundations and theories to systems construction and application studies.

This book is the latest volume in a series of texts documenting the collaboration between the Turing Institute and the Japan Society for Artificial Intelligence, and stems from a workshop held in 1992. The text discusses machine learning as a practical tool in engineering disciplines, and as a material for new mental models in human sciences.

This work provides insight into current research on deductive and inductive approaches towards algorithmic learning theory. The contributors offer a broad understanding of ALT in the area of machine learning and new learning paradigms.

This volume of the continuing series on machine intelligence contains papers on complex decision-taking, inductive logic programming, applied machine learning, dynamic control and computational learning theory.