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
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
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 ...
By Janet L. Kolodner, Christopher K. Riesbeck
June 01, 1986
First published in 1986. The chapters in this collection are based on presentations made at the First Annual Workshop on Theoretical Issues in Conceptual Information Processing (TICIP) grew out of that. It was held in Atlanta, Georgia in March 1984 and included 50 people with roughly the same world...
By 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 ...
By R. C. Schank, C. K. Riesbeck
January 01, 1981
First published in 1981. This book has been written for those who want to comprehend how a large natural language-understanding program works. Thirty-five professionals in Cognitive Science, mostly psychologists by training, in a summer school were taught to grapple with the details of programming ...
By 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...
By Roger C. Schank, Robert P. Abelson
July 01, 1977
First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based ...
By Andy Clark, Toribio
September 01, 1998
Summarizes and illuminates two decades of research Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. ...