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» Reconstructive Explanation: Explanation as Complex Problem S...
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MLDM
2007
Springer
14 years 1 months ago
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
Abstract. The goal of predictive toxicology is the automatic construction of carcinogenecity models. Most common artificial intelligence techniques used to construct these models ...
Eva Armengol
EWCBR
1993
Springer
13 years 11 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
KI
2008
Springer
13 years 6 months ago
Can Argumentation Help AI to Understand Explanation?
ed from context by seeing an explanation inferentially, much in the same way that early expert systems saw an explanation as chaining of inferences. This approach omitted, for the ...
Doug Walton
AAAI
1996
13 years 8 months ago
Formalizing Dependency Directed Backtracking and Explanation Based Learning in Refinement Search
The ideas of dependency directed backtracking (DDB) and explanation based learning (EBL) have developed independently in constraint satisfaction, planning and problem solving comm...
Subbarao Kambhampati
CAI
2006
Springer
13 years 7 months ago
Symbolic Explanation of Similarities in Case-based Reasoning
CBR systems solve problems by assessing their similarity with already solved problems (cases). Explanation of a CBR system prediction usually consists of showing the user the set o...
Eva Armengol, Enric Plaza