This book provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background.

This book is an introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material.

Illustrateing how to program AI algorithms in Lisp, Prolog, and Java. Topics include: simple production-like system based on logic, logic-based learning, and natural language parsing.

It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.

This book introduces embodied cognitive science and illustrates its foundational ideas through the construction and observation of LEGO Mindstorms robots.

This is the only book for teaching and referencing of Planning Algorithms in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications and medicine, etc.

This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers.

This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence.

A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.

This book to provides a complete and coherent review of the theory of genetic programming (GP). It is written by three of the most active scientists in GP.

The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems.

This book shows various applications of Fuzzy Logic in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment Systems.

This well-organized book takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications.

Integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems.

This is an introductory and down-to-earth presentation of Constraint Logic Programming (CLP), for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimization problems.

This book is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts.

The book describes 45 algorithms from the field of Artificial Intelligence. All algorithm descriptions are complete and consistent to ensure that they are accessible, usable and understandable by a wide audience.

This book provides the mathematical fundamentals as well as algorithms for various shape interrogation methods.

Statistical, machine learning and neural network approaches to classification are all covered in this volume.

This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems.

This book provides a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems..

This book introduces major new developments in a continually evolving field and includes such topics as concurrency and equational and constraint logic programming.

This book covers the mathematical logic necessary to computer science, emphasizing algorithmic methods for solving proofs.

This is the previous page of Artificial Intelligence and Logic Programming, we are in the processing to convert all the books there to the new page. Please check this page daily!!!