Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Planning under uncertainty is a central problem in the study of automated sequential
decision making, and has been addressed by researchers in many different fields, including …

Artificial intelligence (AI) is a rapidly growing technological phenomenon that all industries
wish to exploit to benefit from efficiency gains and cost reductions. At the macrolevel, AI …

A comprehensive survey of artificial intelligence algorithms and programming organization
for robot systems, combining theoretical rigor and practical applications. This textbook offers …

A concise and lucid exposition of the major topics in knowledge representation, from two of
the leading authorities in the field.-Stuart Russell, UC Berkeley The information is valuable …

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence
(AI) methods to build comprehensive AI systems. Describes major AI problems (pattern …

With all the material available in the field of artificial intelligence (AI) and soft computing-
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …

Artificial Intelligence (AI) could be an important foundation of competitive advantage in the
market for firms. As such, firms use AI to achieve deep market engagement when the firm's …

This second edition of the must-read work in the field presents generic computational
models and techniques that can be used for the development of evolving, adaptive modeling …

The long-term goal of our field is the creation and understanding of intelligence. Productive
research in AI, both practical and theoretical, benefits from a notion of intelligence that is …