Abstract
The development of computer based systems supporting the creation and the evolution of core knowledge is challenging, and involves the development of knowledge models dynamically tackling with well-structured notions, formal models, heuristic, tacit and not formalized knowledge, and experience. The main aim of this work is to present the experience of modeling and the implementation of a knowledge based system (P-Race) designed and developed to support the chemical formulation of rubber compounds of tire tread, in order to take part in motor racing. Because of the different competence involved in the decision making process (the compound designer - who owns a large part of the chemical core knowledge of a tire company- and the race engineer), multiple knowledge epresentations have been adopted, and integrated into a unique Case-Based Reasoning (CBR) computational framework. Moreover, a dedicated formalism for the representation of model-based knowledge for chemical formulation (called Abstract Compounds Machine - ACM) has been created. It allows the core knowledge about rubber compounds to be explicitly represented, computed and integrated in the CBR architecture.
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Bandini, S., Manzoni, S. (2002). Modeling Core Knowledge and Practices in a Computational Approach to Innovation Process. In: Magnani, L., Nersessian, N.J. (eds) Model-Based Reasoning. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-0605-8_21
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DOI: https://doi.org/10.1007/978-1-4615-0605-8_21
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