Publications

Understanding Dubious Future Problems

Publication Type:

Conference Paper

Authors:

Oguz Mulayim; Josep Lluis Arcos

Source:

Advances in Case-Based Reasoning: 9th European Conference, ECCBR 2008. Lecture Notes in Artificial Intelligence, Springer Verlag, Volume 5239, Trier, Germany, p.385-399 (2008)

Abstract:

Being able to predict the performance of a Case-Based Reasoning( CBR) system against a set of future problems would provide invaluable information for design and maintenance of the system. Thus, we could carry out the needed design changes and maintenance tasks to improve future performance in a proactive fashion. This paper proposes a novel method for identifying regions in a case base where the system gives low confidence solutions to possible future problems. Experimentation is provided for RoboSoccer domain and we argue how encountered regions of dubiosity help us to analyse our case base and the reasoning mechanisms of a CBR system.

Projects: 
MID-CBR
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