Abstract
Solution adaptation of previously solved cases to fit new situations is one of the basic tasks of the Case-Based Reasoning (CBR) approach for problem solving. The central issue of the paper is to present a formal computational model for the chemical formulation as innovative adaptation of previously developed products for new scenario and/or constraints in product design process. This general model (called Abstract Compound Machine - ACM) allows knowledge about chemical formulation to be explicitly represented, computed, integrated and performed in a CBR architecture. The specific domain that is presented as an example for the implementation of the ACM model regards the creation of rubber compounds. Its generality allows it to be adopted in cases of chemical formulation where basic ingredients are expressed in discrete quantities.
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References
D. B. Leake, Combining Rules and Cases to Learn Case Adaptation, Proc. of the Seventeenth Annual Conference of the Cognitive Science Society, 1995.
M.L. Maher, M. Balachandran, D.M. Zhang, Case—Based Reasoning in Design, Laurence Erlbaum Ass. Pu., Hove, UK, 1985
K. Börner, CBR for Design, in M. Lenz, B. Bartsch-Spörl, H. Burkhard, S. Wess (Eds.), Case—Based Reasoning Technology, Lecture Notes in Artificial Intelligence 1400, Springer, pp 201–233, 1998.
W. Cheetham, J. Graf, Case—Based Reasoning in Color Matching, in D.B. Leake, E. Plaza (Eds.), Case—Based Reasoning Research and Development, Proceedings of the 2nd International Conference on Case—Based Reasoning, Springer-Verlag, Berlin, 1997.
S. Craw, N. Wiratunga, R. Rowe, Case—Based Design for Tablet Formulation, Proceedings of the 4th European Workshop on Case—Based Reasoning, Springer-Verlag, Berlin, pp 358–369, 1998.
S. Bandini, S. Manzoni, A Support System Based on CBR for the Design of Rubber Compounds in Motor Racing, 5th European Workshop on Case—Based Reasoning, Trento 2000, LNCS/LNAI 1898, Springer Verlag, Berlin, 2000.
G. Berry, G. Boudol, The Chemical Abstract Machine,TCS 96, Elsevier, 1992, 217–248
J. Kolodner, Case—Based Reasoning, Morgan Kaufmann Pu., San Mateo (CA), 1993.
M. Jaczynski and B. Trousse. Fuzzy logic for the retrieval step of a case—based reasoner. Proceedings Second European Conference on Case—Based Reasoning, pages 313–322, 1994.
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Bandini, S., Manzoni, S. (2001). CBR Adaptation for Chemical Formulation. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_45
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DOI: https://doi.org/10.1007/3-540-44593-5_45
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