Abstract
The majority of case-based planning systems consider an infinite case memory to store their cases. However, the size of the case memory is limited and it can become a barrier for case-based systems efficiency when it is full. This paper presents a method that refines and abstracts cases in order to release memory space for a new case. However, in some situations, some cases must be chosen to be deleted, and the method incorporates a case-deletion policy that achieves a lower bound for coverage depletion. Besides this paper can deal with a limited quantity of memory to store cases, the case-deletion policy also reaches better results for coverage-preserving than the case-addition policy pro-posed by Zhu and Yang [11].
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References
Bergmann, R. and Wilke, W.: Building and refitting abstract planning cases by change of representation language. Journal of Artificial Intelligence Research 3 (1995) 53–118.
Bonner, A.J. and Kifer, M.: Transaction logic programming. Technical Report, CSRI-323, Department of Computer Science, University of Toronto (1995).
Francis, A.G. and Ram A.: The Utility Problem in Case-Based Reasoning. Technical Report (ER-93-08). Georgia Institute of Technology, USA (1993).
Koehler, J.: Planning from Second Principles. Artificial Intelligence, 87. Elsevier Science. (1996).
Kolodner, J.L.: Case-Based Reasoning. Morgan Kaufmann. (1993).
Minton, S.: Qualitative Results Concerning the Utility of Explanation-based Learning. Artificial Intelligence, 42 (1990) 363–391.
Munõz-Avila, H. and Weberskirch, F.: Planning for Manufacturing Workpieces by Storing, Indexing and Replaying Planning Decisions. In: Proceedings of AIPS-96. AAAI Press. (1996)
Smyth, B. and Keane, M.: Remember to Forget: A Competence-preserving Case-deletion Policy for Case-based Reasoning Systems. In: Proceedings of the International Joint Con-ference on Artificial Intelligence IJCAI’95. (1995) 377–382.
Tonidandel, F. and Rillo, M.: Case-Based Planning in Transaction Logic Framework. In: Proceedings of the Workshop on Intelligent Manufacturing Systems (IMS’98), 5 TH IFAC. Gramado, Brazil. Elsevier Science (1999).
Veloso, M.: Learning by Analogical Reasoning in General Problem Solving. PhD thesis, Carnegie Mellon University, Pittsburgh, USA (1992)
Zhu J. and Yang Q.: Remembering to Add: Competence-preserving Case-Addition Policies for Case-Base Maintenance. In: Proceedings of the International Joint Conference on Ar-tificial Intelligence IJCAI’99. (1999)
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Tonidandel, F., Rillo, M. (2000). Handling Cases and the Coverage in a Limited Quantity of Memory for Case-Based Planning Systems. In: Monard, M.C., Sichman, J.S. (eds) Advances in Artificial Intelligence. IBERAMIA SBIA 2000 2000. Lecture Notes in Computer Science(), vol 1952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44399-1_4
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DOI: https://doi.org/10.1007/3-540-44399-1_4
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