By David B. Leake
September 02, 2016
Psychology and philosophy have long studied the nature and role of explanation. More recently, artificial intelligence research has developed promising theories of how explanation facilitates learning and generalization. By using explanations to guide learning, explanation-based methods allow ...
By James A. Hendler
December 13, 1987
A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading ...
Edited
By Janet L. Kolodner, Christopher K. Riesbeck
July 13, 1986
First published in 1986. Routledge is an imprint of Taylor & Francis, an informa company....
Edited
By Roger C. Schank, Alex Kass, Christopher K. Riesbeck
June 12, 1994
This book is the third volume in a series that provides a hands-on perspective on the evolving theories associated with Roger Schank and his students. The primary focus of this volume is on constructing explanations. All of the chapters relate to the problem of building computer programs that can ...
By R. C. Schank, C. K. Riesbeck
February 12, 1981
First published in 1981. Routledge is an imprint of Taylor & Francis, an informa company....
By Christopher K. Riesbeck, Roger C. Schank
August 12, 1989
Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version...
By Roger C. Schank, Robert P. Abelson
August 12, 1977
First published in 1977. Routledge is an imprint of Taylor & Francis, an informa company....
Edited
By Andy Clark, Toribio
November 16, 1998
First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company....
