Understanding Dubious Future Problems

  • Authors:
  • Oğuz Mülâyim;Josep Lluís Arcos

  • Affiliations:
  • IIIA, Artificial Intelligence Research Institute CSIC, Spanish Council for Scientific Research, Campus UAB, Bellaterra, Spain 08193;IIIA, Artificial Intelligence Research Institute CSIC, Spanish Council for Scientific Research, Campus UAB, Bellaterra, Spain 08193

  • Venue:
  • ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
  • Year:
  • 2008

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Abstract

Being able to predict the performance of a Case-Based Reasoning 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 the case base and the reasoning mechanisms of the given Case-Based Reasoning system.