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Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based
 

Summary: Explanatory Capabilities in the CREEK
Knowledge-Intensive Case-Based
Reasoner
Anders KOFOD-PETERSEN 1, Jörg CASSENS, Agnar AAMODT
Department of Computer and Information Science (IDI), Norwegian University of
Science and Technology (NTNU), Trondheim, Norway
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.
Keywords. Case-based reasoning, ambient intelligence, explanation
Introduction
Explanations have been identified as one of the most important aspects of intelligent
systems in general [1,2,3], and for ambient intelligent systems in particular [4]. When
systems are assigned a kind of responsibility from their users, and exhibit pro-active
behaviour, explanations are often the most important way to instil trust. This is especial
true in ambient intelligent systems where the main interface often is behavioural.
Recent developments in ubiquitous and pervasive computing have shown that to
achieve the visions proposed, systems must have far more complicated capabilities than

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences