[McDermott.J 80] [Grinberg 80] [Director& Parker& Siewiorek& Thomas Engineering Design in General-
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4 2 [McDermott.J 80] [Grinberg 80] [Director& Parker& Siewiorek& Thomas Engineering Design in General- [Rieger&Grinberg 77] [Freeman&Newell 71] [Eastman 81] [Bennett&Engelmore 791 [Powers 721 [Fenves&Norabhoompipat Other expert systems [Davis& Buchanan&Shortliffe 77] [Pople 811 [Duda&Gaschnig&Hart 791 [Nii&AieIlo 79] [Buchanan& Feigenbaum 78] [Lindsay&Buchanan&Feigenbaum&Lederberg 801 [Genesereth 79] [Weiss&Kulikowski&Amarel&Safir 78] [Waterman& Peterson 80] 1.5. Other Specific Al Techniques of Interest [Clancey 79] [Sacerdati 751 [Stefik 81 ] [Len at 75] [Lesser&Erman 771 [Davis 80] [Hayes& Bal&Reddy 811 [Teitelman&Masinter 811 Acknowledgment. Allen Newell made many useful comments on preliminary versions of this paper. 2
5 3 2. Bibliography [Bennett&Engelmore 79] Bennett, J. S. and Enqelmore, R. S. SACON: A knowledtp-based consultant for stiuctural analysis. In Proc. Sixth International Joint Conference on Artificial Intelligence, pages Tokyo, Advises users of a program, MARC, for analysis of physical structures [Boden 771 Boden, M. Artificial Intelligence and Natural Man. Basic Books, New York, Chapters 1, 10, 12, 15 are pertinent to expert systems [Borning 79) Borning, A. H. THINGLAB -A Constraint-Oriented Simulation Laboratory. PhD thesis, Stanford University, [Brown&Burton 75] Brown, J. S. and Burton, R. R. Multiple representations of knowledge for tutorial reasoning. In Bobrow, D. G. and Collins, A., editor, Representation and Understanding: Studies in Cognitive Science, pages Academic, New York, SOPHIE electronics lab simulation [Buchanan&Feigenbaum 781 Buchanan, B. G. and Feigenbaum, E. A. DENDRAL and Meta-DENDRAL: their applications dimensions. Artificial Intelligence 11:5-24,1978. Chemistry (mass spectroscopy) and scientific inference [C'ancey 791 Clancey, W. J. Tutoring rules for guiding a case method dialogue. International Journal of Man-Machine Studies 11:25-49, Turning expert systems into teaching / tutorial ones; also 6th IJCAI (1979), pp [Davis 801 Davis, R. Meta-rules: reasoning about control. Artificial Intelligence 15: , There is a companion paper in the same issue, pp [Davis& Buchanan&Shortliffe 77] Davis, R., Buchanan, B. and Shortliffe, E. Production rules as a representation for a knowledge-based consultation program. Artificial Intelligence 8:15-45, Discusses MYCIN, an expert on infectious diseases and treatments; see 6th IJCAI (1979), pp (EMYCIN) [de Kleer 791 de Kleer, J. Causal and Teleological Reasoning in Circuit Recognition. PhD thesis, Massachusetts Institute of Technology, [Director& Parker& Siewiorek& Thomas 81 1 Director, S. W., Parker. A. C., Siewiorek, D. P. and Thomas, D. E. A design methodology and computer aids for digital VLSI systems. IEEE Trans. on Circuits and Systems To appear, July, L, L... 3
6 4 [Duda&Gaschnig&Hart 79] Duda, R. 0., Gaschnig, J. and Hart, P. E. Model design in the Prospector system for mineral exploration. In Michie, D., editor, Expert Systems in the Micro Electronic Age, pages University of Edinburgh, Scotland, See also [Water man&hayes-roth 781, pp [Eastman 81] Eastman, C. M. Recent developments in representation in the science of design. In Proc. 18th Design Automation Conference, IEEE Computer Society and ACM, June, (Forthcoming); Building design, geometric modeling, and integrity of design databases [Erman&Lesser 781 Erman, L. D. and Lesser, V. R. System engineering techniques for artificial intelligence systems. In Hanson, A. and Riseman, E., editor, Computer Vision Systems. Academic, New York, General system-building ideas [Feigenbaum 771 Feigenbaum, E. A. The art of artificial intelligence: I. Themes and case studies of knowledge engineering. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages Massachusetts Institute of Technology, Overview of a number of Stanford systems and their methods [Fenves&Norabhoompipat 78] Fenves, S. J. and Norabhoompipat, T. Potentials for artificial intelligence applications in structural engineering design and detailing. In Latombe, J.-C., editor, Artificial Intelligence and Pattern Recognition in Computer Aided Design, pages IFIP Working Conference, Grenoble, France, March, A view from outside Al 'Fieeman&Newell 71] Freeman, P. and Newell, A. A model for functional reasoning in design. In Proc. Second International Joint Conference on Artificial Intelligence, pages London, Somewhat general, problem-solving approach fgenesereth 791 Genesereth, M. R. The role of plans in automated consultation. In Proc. Sixth International Joint Conference on Artificial Intelligence, pages Tokyo, User consultant for MACSYMA (Grinberg 80] Grinberg, M. R. A knowledge based design system for digital electronics. In Proceedings of the First Annual National Conference on Artificial Intelligence, pages AAAI,
7 5 Semi-Automatic Digital.)esign i (SADD) [Hayes&Ball &Reddy 81 ] Hayes, Phil, Ball, E. and Reddy, R. Breaking the man-machine communication barrier. Computer 14(3):19-30, March, [Lenat 75] Lenat, D. B. BEINGS: Knowledge as interacting experts. In Proc. Fourth International Joint Conference on Artificial Intelligence, pages Tblisi, [Lesser&Erman 77] Lesser, V. R. and Erman, L. D. A retrospective view of the HEARSAY-Il architecture. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages Boston, [Lindsay&Buchanan&Feigenhaum& Lederberg 801 Lindsay, R. K., Buchanan, B. G., Feigenbaum. E. A. and Lederberg, J. Applications of Artificial Intelligence to Chemistry: The DENDRAL Project. McGraw-Hill, New York, [McCorduck 79] McCorduck, P. Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence. Freeman, San Francisco, Chapter 12 is pertinent to expert systems [McDermott.J 80] McDermott, J. Ri: an expert configurer. Technical Report CMU-CS , Carnegie-Mellon University, April, Configures VAX computei systenm.,, OPS language [Michie 79] Michie, D. (ed.). Expert Systems in the Micro Electronic Age. Edinburgh University Press, Scotland, A recent collection of papers [Newell 81] Newell, A. How to view the computer. In Foundations of Computer-Aided Chemical Process Design. Engineering Foundation, New York, (Forthcoming) [Nii 80] Nii, H. P. Heuristic Proqrammi'ng Project Stanford University, Department of Computer Science, Overview of a number of expert systems projects [Nii&Aiello 791 Nii, H. P. and Aiello, N. AGE (Attempt to Generalize): A knowledge-based program for building knowledgebased programs. In Proc. Sixth International Joint Conference on Artificial Intelligence, pages Tokyo,
8 6 [Nilsson 801 Nilsson, N. J. Principles of Artificial Intelligence. Tioga, Palo Alto, CA, Chapters 1, 8, 9 and 10 are especially relevant to expert systems [Pople 811 Pople, H. E. Jr. Heuristic methods for imposing structure on ill-structured problems: the structuring of medical diagnosis. In Artificial Intelligence in Medicine. American Association for the Advancement of Science, (Forthcoming); see also 5th IJCAI (1977); pp [Powers 72] Powers, G. J. Non-numerical problem solving methods in computer-aided design. In IFIPS Conference on Computer-Aided Design. Eindhoven, The Netherlands, Discussion of Al techniques applied to design problems [Rieger&Grinberg 77] Rieger, C. and Grinberg, M. The declarative representation and procedural simulation of causality in physical mechanisms. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages Massachusetts Institute of Technology, Complex interconnected systems simulated [Lacerdoti 75] Sacerdoti, E. D. The nonlinear nature of plans. In Proc. Fourth International Joint Conference on Artificial Intelligence, pages Tblisi, a l..;ie problem-solving and planning [Simon 69].:wnon, H. A. The Sciences of the Artificial. - MIT Press, Cambridge, MA, Rationalizing the process of design [Stefik 811 Stefik, M. J. Planning with constraints (MOLGEN: part 1). Artificial Intelligence 16: , Planning experiments in molecular genetics; also 1980 Stanford U. Ph.D. Thesis [Sussman 77] Sussman, G. J. Electrical design: a problem for artificial intelligence research. In Proc. Fifth International Joint Conference on Artificial Intelligence, pages Massachusetts Institute of Technology, Includes some general pointers; see also Attificial Intelligence 9: pp , 1977 (EL) [Sussman&Steele 80] Sussman, G. J. and Steele, G. L. Jr. CONSTRAINTS - A language for expressing almost hierarchical descriptions. Artificial Intelligence 14:1-39,
9 7 [Teitelman&Masinter 811 Teitelman, W. and Masinter, L. The INTERLISP programming environment. Computer 14(4):25-33, April, A flexible, responsive environment; issues of personal computing and user interfaces [Waterman&Hayes-Roth 781 Waterman, D. A. and Hayes-Roth, F. (Eds.). Pattern-Directed Inference Systems. Academic, New York, 1,978. Especially the first and last chapters; exhaustive references [Waterman&Peterson 801 Waterman, D. A. and Peterson, M. Rule-based models of legal expertise. In Proceedings of the First Annual National Conference on Artificial Intelligence, pages AAAI, Legal decision-making system (LDS); RITA and ROSIE languages [Weiss&Kulikowski&Amarel &Safir 78] Weiss, S. M., Kulikowski, C. A., Amarel, S. and Safir, A. A model-based method for computer-aided medical decision-making. Artificial Intelligence 11: , CASNET expert on glaucoma; see also 6th IJCAI (1979), pp (EXPERT) [Winston 77] Winston, P. H. Artificial Intelligence. Addison-Wesley, Reading, MA, Chapters 1 and 5 are the most relevant Ii
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