The titles in this series are paperback, readily accessible editions of the Special Volumes of Artificial Intelligence: An International Journal, edited by Daniel G. Bobrow. This series is no longer active, and the MIT Press is no longer accepting proposals for books in the series.
Addressing the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively.
Having played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical...
This major collection of short essays reviews the scope and progress of research in artificial intelligence over the past two decades. Seminal and most-cited papers from the journal Artificial Intelligence...
These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems.
Edited by Fernando C. N. Pereira and Barbara J. Grosz
ISBN: 9780262660921
Publisher: The MIT Press
Pub Date: April 7, 1994
These ten contributions describe the major technical ideas underlying many of the significant advances in natural-language processing over the last decade, focusing in particular on the challenges in...
Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal...
The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth...
