Solving the Frame Problem: A Mathematical Investigation of the Common Sense Law of Inertia (Artificial Intelligence) |  | Author: Murray Shanahan
Publisher: The MIT Press
Category: Book
List Price: $70.00
Buy New: $52.22
as of 9/6/2010 22:02 CDT details
You Save: $17.78 (25%)
New (9) Used (13) from $9.00
Seller: indoobestsellers
Rating:  2 reviews
Sales Rank: 845,400
Media: Hardcover
Pages: 443
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.3 x 6.3 x 1.3
ISBN: 0262193841
Dewey Decimal Number: 006.33
EAN: 9780262193849
ASIN: 0262193841
Publication Date: February 14, 1997
Availability: Usually ships in 1-2 business days
| |
| Similar Items:
| |
| Editorial Reviews:
Product Description
"Shanahan gives a clear exposition of the AI problem in general and logical AI in particular. He goes on to a clear exposition of the frame problem and many approaches to its solution. Much of this will become accepted as authoritative." -- John McCarthy, Professor of Computer Science, Stanford University "The frame problem is one of the central theoretical issues of artificial intelligence, and considerable progress in the study of this problem has been made over the last years. Shanahan's book provides a clear and comprehensive treatment of this work. It will be appreciated by everyone interested in the logical foundations of artificial intelligence." -- Vladimir Lifschitz, Gottesman Family Centennial Professor in Computer Sciences, University of Texas at Austin In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series
|
| Customer Reviews:
A Classic! September 21, 2000
Kaushik Bhattacharya (United States)
3 out of 3 found this review helpful
I was a student of Murray when I was doing my master's in AI. He taught us a course titled 'Learning and Cognitive Robotics', which covered a classical 'logic-based' approach to robotics, starting from the 'Shakey' days to Event Calculus. Much of the lecture notes from the said course went into the book, which to my mind provides a comprehensive coverage to logic-based AI, its challenges and possible directions. In classical AI, we assume that 'correct reasoning on correct representation' preceedes intelligence. The book starts from this 'first principle' and takes one through a wonderful journey, leading to an almost total solution to the Frame Problem, one of the biggest stumbling blocks for logic-based AI. In my mind, the book is not for naive readers. One has to have a fairly good understanding of relevant Computer Science/AI concepts to comprehend the material. For serious readers of AI, I would like to recommend another fantastic piece of work: Agent_Oriented Programming: From Prolog to Guarded Definite Clauses by Ringwood and Huntbach. Enjoy!
A Classic! September 22, 2000
Kaushik Bhattacharya (United States)
1 out of 2 found this review helpful
I was a student of Murray when I was doing my master's in AI. He taught us a course titled 'Learning and Cognitive Robotics', which covered a classical 'logic-based' approach to robotics, starting from the 'Shakey' days to Event Calculus. Much of the lecture notes we covered in the said course went into the book, which to my mind provides a comprehensive coverage to logic-based AI, its challenges and possible directions. In classical AI, we assume that 'correct reasoning on correct representation' preceedes intelligence. The book starts from this 'first principle' and takes one through a wonderful journey, leading to an almost total solution to the Frame Problem. In my mind, the book is not for naive readers. One has to have a fairy good understanding of relevant Computer Science/AI concepts to comprehend the material.
|
|
|
