Abstract
Usually, existing works on adaptation in case-based reasoning assume that the case base holds only successful cases, i.e., cases having solutions believed to be appropriate for the corresponding problems. However, in practice, the case base could hold failed cases, resulting from an earlier adaptation process but discarded by the revision process. Not considering failed cases would be missing an interesting opportunity to learn more knowledge for improving the adaptation process. This paper proposes a novel approach to the adaptation process in the case-based reasoning paradigm, based on an improved barycentric approach by considering the failed cases. The experiment performed on real data demonstrates the benefit of the method considering the failed cases in the adaptation process compared to the classical ones that ignore them, thus, improving the performance of the case-based reasoning system.
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
References
ASHRAE (ed.): ASHRAE Standard Thermal Environmental Conditions for Human Occupancy. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, USA (1992)
ASHRAE (ed.):. Indoor air quality guide: best practices for design, construction, and commissioning. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, USA (2009)
Boulmaiz, F., Alyafi, A.A., Ploix, S., Reignier, P.: Optimizing occupant actions to enhance his comfort while reducing energy demand in buildings. In: 11th IEEE IDAACS (2021)
Boulmaiz, F., Ploix, S., Reignier, P.: A data-driven approach for guiding the occupant’s actions to achieve better comfort in buildings. In: 2021 IEEE 33rd ICTAI, pp. 463–468 (2021)
Boulmaiz, F., Reignier, P., Ploix, S.: An occupant-centered approach to improve both his comfort and the energy efficiency of the building. Knowl.-Based Syst. 249, 108970 (2022)
CSA Group. Z412–17 Office ergonomics - An application standard for workplace ergonomics (2017)
Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. In: Proceedings of IEEE International Conference on Robotics and Automation (1985)
Lieber, J., Nauer, E.: Adaptation knowledge discovery using positive and negative cases. In: Sánchez-Ruiz, A.A., Floyd, M.W. (eds.) ICCBR 2021. LNCS (LNAI), vol. 12877, pp. 140–155. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86957-1_10
Minor, M., Marx, L.: Case-based reasoning for inert systems in building energy management. In: Aha, D.W., Lieber, J. (eds.) ICCBR 2017. LNCS (LNAI), vol. 10339, pp. 200–211. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61030-6_14
Patterson, D.W., Rooney, N., Galushka, M.: A regression based adaptation strategy for case-based reasoning. In: AAAI/IAAI (2002)
Pusztová, L., Babic, F., Paralic, J., Paralicova, Z.: How to improve the adaptation phase of the CBR in the medical domain. In: Machine Learning and Knowledge Extraction, pp. 168–177 (2019)
Sizov, G., Öztürk, P., Marsi, E.: Compositional adaptation of explanations in textual case-based reasoning. In: Goel, A., Díaz-Agudo, M.B., Roth-Berghofer, T. (eds.) ICCBR 2016. LNCS (LNAI), vol. 9969, pp. 387–401. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47096-2_26
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Boulmaiz, F., Reignier, P., Ploix, S. (2023). Learning from Successes and Failures: An Exploration of a Case-Based Reasoning Technique. In: Fujita, H., Wang, Y., Xiao, Y., Moonis, A. (eds) Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2023. Lecture Notes in Computer Science(), vol 13925. Springer, Cham. https://doi.org/10.1007/978-3-031-36819-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-36819-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36818-9
Online ISBN: 978-3-031-36819-6
eBook Packages: Computer ScienceComputer Science (R0)