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 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. Keywords. Case-based reasoning, ambient intelligence, explanation

• Type: Conference
• Year: 2008
• Where: SCAI
• Authors: Anders Kofod-Petersen, Jörg Cassens, Agnar Aamodt
• Keywords: Ambient Intelligence, Artificial Intelligence, Case-based Reasoning, Case-based Reasoning Framework, SCAI 2008