Abstract
A CBR system needs a good case retention strategy to decide which cases to incorporate into the case base in order to maximize the performance of the system. In this work we present a collaborative case retention strategy, designed for multiagent CBR systems, called the Collaborative Case Bargaining strategy. The CCB strategy is a bargaining mechanism in which each CBR agent tries to maximize the utility of the cases it retains. We will present a case utility measure called the Justification-based Case Utility (JCU) based upon the ability of the individual CBR agents to provide justifications of their own results. An empirical evaluation of the CCB strategy shows the benefits for CBR agents to use this strategy: individual and collective accuracy are increased while the size of the case bases is decreased.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aha, D.W., Kibler, D., Albert, M.K.: Instance-based learning algorithms. Machine Learning 6(1), 37–66 (1991)
Armengol, E., Plaza, E.: Lazy induction of descriptions for relational case-based learning. In: Flach, P.A., De Raedt, L. (eds.) ECML 2001. LNCS (LNAI), vol. 2167, pp. 13–24. Springer, Heidelberg (2001)
Hansen, L.K., Salamon, P.: Neural networks ensembles. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 993–1001 (1990)
Ontañón, S., Plaza, E.: Cooperative case retention strategies for cbr agents. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, Springer, Heidelberg (2003)
Ontañón, S., Plaza, E.: Justification-based multiagent learning. In: Proc. 20th ICML, pp. 576–583. Morgan Kaufmann, San Francisco (2003)
Plaza, E., Ontañón, S.: Ensemble case-based reasoning: Collaboration policies for multiagent cooperative CBR. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 437–451. Springer, Heidelberg (2001)
Smyth, B.: The utility problem analysed: A case-based reasoning persepctive. In: Smith, I., Faltings, B.V. (eds.) EWCBR 1996. LNCS (LNAI), vol. 1168, pp. 234–248. Springer, Heidelberg (1996)
van Harmelen, F.: How the semantic web will change KR. The Knowledge Engineering Review 17(1), 93–96 (2002)
Wooley, B.A.: Explanation component of software systems. ACM Crossroads (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ontañón, S., Plaza, E. (2004). Justification-Based Case Retention. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-28631-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22882-0
Online ISBN: 978-3-540-28631-8
eBook Packages: Springer Book Archive