Evaluating Explanations A Content Theory
integrating Marker Passing and Problem Solving A Spreading Activation Approach To Improved Choice in Planning
Experience, Memory, and Reasoning
Inside Case-Based Explanation
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 ...
James A. Hendler
November 01, 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 ...
Roger C. Schank, Alex Kass, Christopher K. Riesbeck
May 01, 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 ...
R. C. Schank, C. K. Riesbeck
January 01, 1981
First published in 1981. Routledge is an imprint of Taylor & Francis, an informa company....
Christopher K. Riesbeck, Roger C. Schank
July 01, 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...
Roger C. Schank, Robert P. Abelson
July 01, 1977
First published in 1977. Routledge is an imprint of Taylor & Francis, an informa company....
Andy Clark, Toribio
September 01, 1998
First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company....