Inside Case-Based Explanation

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ABE
abstract planning strategies
Abstraction Hierarchy
Anomaly Detection
Anomaly Shift
Case Retrieval
Category=UYQ
chains
College Basketball Star
Complete Empathy
computational linguistics
creative hypothesis generation in AI
death
Discrimination Net
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
explanation evaluation methods
Explanation Patterns
fixx
Goal Conflict
inference
jim
Jim Fixx
knowledge
Knowledge Goals
Knowledge Structures
Labeling Terms
Len Bias
Life State
memory retrieval algorithms
Mop
P Te
patterns
Problem Reformulation
reasoning
RECREATIONAL JOGGING
Shiite Moslem
social advice systems
Specific Planning Situation
story inference modeling
structures
Suicide Bombing Mission
swale's
Swale's Death
Young Man

Product details

  • ISBN 9780805810288
  • Weight: 970g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 May 1994
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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 develop hypotheses about what might have caused an observed event. Because most researchers in natural language processing don't really want to work on inference, memory, and learning issues, most of their sample text fragments are chosen carefully to de-emphasize the need for non text-related reasoning.

The ability to come up with hypotheses about what is really going on in a story is a hallmark of human intelligence. The biggest difference between truly intelligent readers and less intelligent ones is the extent to which the reader can go beyond merely understanding the explicit statements being communicated. Achieving a creative level of understanding means developing hypotheses about questions for which there may be no conclusively correct answer at all. The focus of the lab, during the period documented in this book, was to work on getting a computer program to do that.

The volume adopts a case-based approach to the construction of explanations which suggests that the main steps in the process of explaining a given anomaly are as follows:

* Retrieve an explanation that might be relevant to the anomaly.

* Evaluate whether the retrieved explanation makes sense when applied to the current anomaly.

* Adapt the explanation to produce a new variant that fits better if the retrieved explanation doesn't fit the anomaly perfectly.

Roger C. Schank, Alex Kass, Christopher K. Riesbeck