Theo Todman's Book Collection (Book-Paper Abstracts)

BOOK ABSTRACT:

Back Cover Blurb

1. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Third Edition is a thorough treatment of the foundations of artificial intelligence. It combines the theoretical foundations of intelligent problem solving with the data structures and algorithms needed for its implementation. It presents logic-, rule-, object- and agent-based architectures, along with example programs written in LISP and PROLOG. It also covers material on connectionist and emergent learning, reasoning under conditions of uncertainty, object- and agent-based problem solving, and other techniques that have developed as Al moves into practical application. The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science.
2. At all times, the authors keep the practical applications of Al within the context of its broader goal: an understanding of the patterns of intelligence as they operate in a world of uncertainty, complexity and change.
3. The third edition contains material on:
   • the fundamentals of search, inference and knowledge representation
   • Al algorithms and data structures in LISP and PROLOG
   • production systems, blackboards and meta-interpreters
   • machine learning
   • neural networks
   • emergent and social models of learning and adaptation
   • object- and agent-based problem solving and other forms of advanced knowledge representation
   • algorithms lor reasoning under conditions of uncertainty
   • an extended treatment of knowledge-based problem solving
   • natural language-understanding algorithms, including stochastic methods
4. George Luger is currently a Professor of Computer Science and Psychology at the University of New Mexico. His research interests include modeling human intelligence and building intelligent control systems. He received his PhD at the University of Pennsylvania and has worked as a research fellow at the University of Edinburgh.
5. William Stubblefield is currently a Senior Member of Technical Staff at Sandia National laboratories. His research interests include intelligent manufacturing systems, human-computer interaction, and computational models of metaphor and analogy. He received his PhD at the University of New Mexico and has worked as a visiting professor at Dartmouth College.