From Artificial Intelligence Series

AI in the 1980s and Beyond

An MIT Survey

Edited by W. Eric L. Grimson and Ramesh S. Patil

Overview

Author(s)

Praise

Summary

This collection of essays by 12 members of the MIT staff, provides an inside report on the scope and expectations of current research in one of the world's major AI centers. The chapters on artificial intelligence, expert systems, vision, robotics, and natural language provide both a broad overview of current areas of activity and an assessment of the field at a time of great public interest and rapid technological progress.

Contents Artificial Intelligence, Patrick H. Winston and Karen Prendergast • KnowledgeBased Systems, Randall Davis • Expert-System Tools and Techniques, Peter Szolovits • Medical Diagnosis: Evolution of Systems Building Expertise, Ramesh S. Patil • Artificial Intelligence and Software Engineering, Charles Rich and Richard C. Waters • Intelligent Natural Language Processing, Robert C. Berwick • Automatic Speech Recognition and Understanding, Victor Zue • Robot Programming and Artificial Intelligence, Tomas Lozano-Perez • Robot Hands and Tactile Sensing, John M. Hollerbach • Intelligent Vision, Michael Brady • Making Robots See, W. Eric L. Grimson • Autonomous Mobile Robots, Rodney A. Brooks

AI in the 1980s and Beyond is included in the Artificial Intelligence Series, edited by Patrick H. Winston and Michael Brady.

Hardcover

Out of Print ISBN: 9780262071062 388 pp. | 6 in x 9 in

Editors

W. Eric L. Grimson

W. Eric L. Grimson, author of From Images to Surfaces: A Computational Study of the Human Early Vision System (MIT Press 1981) and is an Assistant Professors in the Department of Electrical Engineering and Computer Science at MIT.

Ramesh S. Patil

Ramesh S. Patil is an Assistant Professors in the Department of Electrical Engineering and Computer Science at MIT.

Reviews

  • All of the papers are tutorial in nature and are written in a style that is easy to read.

    American Reference Book Annual

Endorsements

  • All of the papers are tutorial in nature and are written in a style that is easy to read. Extensive references are a also provided for the astute and more technically inclined reader.

    American Reference Book Annual