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SCAI
2008
13 years 4 months ago
Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based Reasoner
The ability to give explanations for its reasoning and behaviour is a core capability of an intelligent system. There are a number of different goals a user can have towards such e...
Anders Kofod-Petersen, Jörg Cassens, Agnar Aa...
EWCBR
2004
Springer
13 years 8 months ago
Knowledge-Intensive Case-Based Reasoning in CREEK
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Agnar Aamodt
ECAI
1990
Springer
13 years 6 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
ICCBR
2005
Springer
13 years 8 months ago
Knowledge Intensive Case Based Support for Automated Explanation of Biological Phenomena
The rapid growth of data stored in molecular biology-related databases has stimulated the development of integrative tools for retrieval and presentation of the data in the form of...
Waclaw Kusnierczyk, Agnar Aamodt, Astrid Læg...
AIR
2005
126views more  AIR 2005»
13 years 2 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...