Solving The Frame Problem
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
"Shanahan gives a clear exposition of the AI problem in general andlogical AI in particular. He goes on to a clear exposition of theframe problem and many approaches to its solution. Much of this willbecome accepted as authoritative."
—John McCarthy, Professor of Computer Science, Stanford University
"The frame problem is one of the central theoretical issues of artificialintelligence, and considerable progress in the study of this problem hasbeen made over the last years. Shanahan's book provides a clear andcomprehensive treatment of this work. It will be appreciated by everyoneinterested in the logical foundations of artificial intelligence."
—Vladimir Lifschitz, Gottesman Family Centennial Professorin Computer Sciences, University of Texas at Austin