Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based Reasoner

Authors:
Anders Kofod-Petersen;Jörg Cassens;Agnar Aamodt
Affiliations:
Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Venue:
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Year:
2008

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Abstract

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 explanations. This paper presents how the knowledge intensive case-based reasoning framework CREEK can support some of these different goals in an ambient intelligence setting.