Evaluating Explanations - A Content Theory (Paperback)

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 reliable learning of new concepts in complex situations, often from observing a single example. The author of this volume, however, argues that explanation-based learning research has neglected key issues in explanation construction and evaluation. By examining the issues in the context of a story understanding system that explains novel events in news stories, the author shows that the standard assumptions do not apply to complex real-world domains. An alternative theory is presented, one that demonstrates that context -- involving both explainer beliefs and goals -- is crucial in deciding an explanation's goodness and that a theory of the possible contexts can be used to determine which explanations are appropriate. This important view is demonstrated with examples of the performance of ACCEPTER, a computer system for story understanding, anomaly detection, and explanation evaluation.

General

Imprint:	Psychology Press
Country of origin:	United Kingdom
Series:	Artificial Intelligence Series
Release date:	September 2016
First published:	1992
Authors:	David B. Leake
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	274
ISBN-13:	978-1-138-96916-2
Categories:	Books > Social sciences > Psychology > Cognition & cognitive psychology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-138-96916-8
Barcode:	9781138969162

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!