CBR Adaptation for Chemical Formulation

  • Stefania Bandini
  • Sara Manzoni
Conference paper

DOI: 10.1007/3-540-44593-5_45

Volume 2080 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Stefania Bandini
    • 1
  • Sara Manzoni
    • 1
  1. 1.Department of Computer Science, Systems, and CommunicationUniversity of Milan - BicoccaMilanItaly