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1. Reich, Yoram (1988) Machine Learning for Expert Systems : Motivation and Techniques

i-iii, 51 p. : some ill Pittsburgh, PA: Engineering Design Research Center, CMU, June, 1988. EDRC 12-27-88. includes bibliography. First generation expert systems suffer from two major problems: they are brittle and their development is a long, effortful process. Few successful expert systems for real world problems have been demonstrated. In this paper, learning, the key to intelligent behavior and expertise, is described as the answer to both expert systems deficiencies. Machine learning techniques are described, with their applicability to expert systems. A framework to organize machine learning techniques is provided. The description is followed by examples taken from the structural design domain. AI / learning / expert systems / structures / techniques. 37. Requicha, Aristides A. G. 'Mathematical Models of Rigid Solid Objects -- Production Automation Project.' Rochester, NY: College of Engineering & Applied Science, University of Rochester, November, 1977. [3], 37 p. : ill. http://papers.cumincad.org/cgi-bin/works/Show?252a
2. Requicha, Aristides A.G. and Voelcker, H.B. (1977) Constructive Solid Geometry

November, 1977. [3] 36 p. : ill. includes bibliography: p. 31-33 http://papers.cumincad.org/cgi-bin/works/Show?ecec
3. Requicha, Aristides A.G. (1980) Representations for Rigid Solids : Theory, Methods, and Systems

Computing Surveys December, 1980. vol. 12: pp. 437-464 : ill. includes bibliography. http://papers.cumincad.org/cgi-bin/works/Show?08ba
4. Rossignac, Jaroslaw R. and Requicha, Aristides A. G. (1986) Depth- Buffering Display Techniques for Constructive Solid Geometry

IEEE Computer Graphics and Applications. September, 1986. vol. 6: pp. 29-39 : ill. some col. includes bibliography http://papers.cumincad.org/cgi-bin/works/Show?6728

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