Abstract
Developments in artificial intelligence (AI) and knowledge engineering have led to task-oriented products and the so-called expert systems. Different methods of building expert systems have been proposed [1]. The task-oriented approach offers expert systems in very different areas of human activities of which those in engineering are of special interest at the present time.
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References
Hayes-Roth et al. Building expert systems. Addison Wesley, London, 1983
Ham I. CAPP: present and future. CIRP Ann Manuf Technol 2, 1988; 37: no. 2
Milacic RV (ed). Intelligent manufacturing systems I. Elsevier, Amsterdam, 1988
Milacic RV (ed). Intelligent manufacturing systems II. Elsevier, Amsterdam, 1988
Simon H. Why should machines learn. In: Machine learning. Springer-Verlag, Berlin, Heidelberg, New York, 1984
Carbonell J, Michalski R. An overview of machine learning. In: Machine learning. Springer-Verlag, Berlin, Heidelberg, New York, 1984
Milacic RV. Manufacturing systems design theory. Mechanical Engineering Faculty, Beograd University,Beograd, 1987
Urosevic M. SAPT — Expert system. MSc thesis, Beograd University, 1988
Veljovic A. Technological knowledge base. PhD thesis, Beograd University, 1988
Putnik G. Tool knowledge base. MSc thesis, Beograd University, 1988
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© 1991 Springer-Verlag London Limited
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Milacic, V.R. (1991). Theoretical Approach to Knowledge Acquisition and Knowledge Representation in CAPP Expert Systems. In: Pham, D.T. (eds) Artificial Intelligence in Design. Artificial Intelligence in Industry Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74354-2_10
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DOI: https://doi.org/10.1007/978-3-642-74354-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-74356-6
Online ISBN: 978-3-642-74354-2
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