Artificial Intelligence - Structures and Strategies for Complex Problem Solving
Luger (George) & Stubblefield (William)
This Page provides (where held) the Abstract of the above Book and those of all the Papers contained in it.
Colour-ConventionsDisclaimer

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.

BOOK COMMENT:

Addison Wesley Longman Inc., Reading, Massachusetts, 1998. Fine handback copy.



"Luger (George) & Stubblefield (William) - AI: History and Applications"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - An Introduction To LISP"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - An Introduction To PROLOG"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Artificial Intelligence as Empirical Enquiry"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Artificial Intelligence as Representation and Search: Introduction"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Automated Reasoning"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Control and Implementation of State Space Search"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Heuristic Search"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Knowledge Representation"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Knowledge-Intensive Problem Solving"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Languages and Programming Techniques for Artificial Intelligence: Introduction"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Machine Learning: Connectionist"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Machine Learning: Social and Emergent"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Machine Learning: Symbol-Based"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Reasoning With Uncertain Or Incomplete Information"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Structures and Strategies for State Space Search"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - The Predicate Calculus"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving



"Luger (George) & Stubblefield (William) - Understanding Natural Language"

Source: Luger & Stubblefield - Artificial Intelligence - Structures and Strategies for Complex Problem Solving




Text Colour Conventions (see disclaimer)
  1. Blue: Text by me; © Theo Todman, 2021
  2. Mauve: Text by correspondent(s) or other author(s); © the author(s)



© Theo Todman, June 2007 - Jan 2021. Please address any comments on this page to theo@theotodman.com. File output:
Website Maintenance Dashboard
Return to Top of this Page Return to Theo Todman's Philosophy Page Return to Theo Todman's Home Page