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» NL Domain Explanations in Knowledge Based MAT
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AAAI
1996
13 years 7 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
EXACT
2008
13 years 8 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
EWCBR
1993
Springer
13 years 9 months ago
Explanation-Driven Case-Based Reasoning
Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to eff...
Agnar Aamodt
IJCAI
1989
13 years 6 months ago
Detecting and Correcting Errors of Omission After Explanation-Based Learning
In this paper, we address an issue that arises when the background knowledge used by explanationbased learning is incorrect. In particular, we consider the problems that can be ca...
Michael J. Pazzani
AIR
2005
126views more  AIR 2005»
13 years 5 months ago
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises fr...
Enric Plaza, Eva Armengol, Santiago Ontañ&o...