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Altering the SightPlan knowledge-based systems

Published online by Cambridge University Press:  27 February 2009

I. D. Tommelein
Affiliation:
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109–2125, U.S.A.
B. Hayes-Roth
Affiliation:
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109–2125, U.S.A.
R. E. Levitt
Affiliation:
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109–2125, U.S.A.

Abstract

SightPlan refers to several knowledge-based systems that address construction site layout. Five different versions were implemented and their components of expertise are described here. These systems are alterations of one another, differing either in the problems they solve, the problem-solving methods they apply, or the tasks they address. Because they share either control knowledge, domain concepts, or heuristics, and such knowledge is implemented in well-defined modular knowledge bases, these systems could easily re-use parts of one another. Experiments like those presented here may clarify the role played by different types of knowledge during problem solving, enabling researchers to gain a broader understanding of the generality of the domain and task knowledge that is embedded in KBSs and of the power of their systems.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1992

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References

Altman, R. B. and Buchanan, B. G. 1987. Partial compilation of strategic knowledge, Proceedings of AAAI 87, 399404. Los Altos: Morgan Kaufmann.Google Scholar
Balkany, A., Birmingham, W. P., and Tommelein, I. D. 1991. A Knowledge-level Analysis of Several Design Tools. In Proceedings of the First International Conference on Artificial Intelligence in Design. London: Butterworth-Heinemann.Google Scholar
Birmingham, W. P. and Tommelein, I. D. 1992. Towards a domain-independent synthesis system, In Knowledge-Aided Design, ed Green, M.London: Academic Press.Google Scholar
Brinkley, J., Cornelius, C., Altman, R., Hayes-Roth, B., Lichtarge, O., Duncan, D., Buchanan, B., and Jardetzky, O. 1986. Application of Constraint Satisfaction Techniques to the Determination of Protein Tertiary Structure. Working Paper No. KSL-86–28, Stanford, CA.Google Scholar
Buchanan, B. G., Hayes-Roth, B., Lichtarge, O., Altman, R., Brinkley, J., Hewett, M., Cornelius, C., Duncan, B., and Jardetzky, O. 1986. The Heuristic Refinement Method for Deriving Solution Structures of Proteins. Report No. KSL 85–41, Stanford, CA.Google Scholar
Chandrasekaran, B., 1990. Design problem solving: a task analysis. AI Magazine 11, 5971.Google Scholar
Clancey, W. J. 1985. Heuristic classification, Artificial Intelligence 27, 289350.CrossRefGoogle Scholar
Confrey, T. and Daube, F. 1988. GS2D: A 2-D Geometry System. Report No. KSL-88–15, Stanford, CA.Google Scholar
Feigenbaum, E. A. 1977. The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering. Los Altos: Morgan Kaufmann.CrossRefGoogle Scholar
Hayes-Roth, B. 1985. A blackboard architecture for control. Artificial Intelligence 26, 251321.CrossRefGoogle Scholar
Hayes-Roth, B., Buchanan, B. D., Lichtarge, O., Hewett, M., Altman, R., Brinkley, J., Cornelius, C., Duncan, B., and Jardetzky, O. 1986 b. PROTEAN: Deriving Protean Structures from Constraints. Proceedings of AAAI 86, pp. 904909. Los Altos: Morgan Kaufmann.Google Scholar
Hayes-Roth, B., Johnson, M. V., Garvey, A., and Hewett, M. 1986 a. Application of the BB1 Blackboard Architecture to Arrangement-Assembly Tasks. International Journal for Artificial Intelligence in Engineering 1, 8594.Google Scholar
Hayes-Roth, B., Garvey, A., Johnson, M. V. Jr, and Hewett, M. 1987. A Modular and Layered Environment for Reasoning about Action. Report No. KSL 86–38, Stanford, CA.Google Scholar
Hayes-Roth, B. and Hewett, M., 1988. BB1: An implementation of the blackboard control architecture. In Blackboard Systems, eds. Englemore, R. and Morgan, T. pp. 297313. Reading MA: Addison-Wesley.Google Scholar
Johnson, M. V. Jr and Hayes-Roth, B. 1988. Learning to solve problems by analogy. Report No. KSL 88–01, Stanford, CA.Google Scholar
Klinker, G., Bhola, C., Dallemagne, G., Marques, D., McDermott, J. 1990. Usable and reusable programming constructs. Proceedings of the 5th Knowledge Acquisition for Knowledge-based Systems Workshop, Banff, Canada.Google Scholar
Mittal, S., Frayman, F. 1989. Towards a generic model of configuration tasks. Proceedings of the 11th IJCAI, 13951401.Google Scholar
Shortliffe, E. H. 1976. Computer Based Medical Consultations: MYCIN. New York: Elsevier.Google Scholar
Steels, L. 1990. Components of expertise. Al Magazine 11, 2849.Google Scholar
Sowa, J. F. 1984. Conceptual Structures: Information Processing in Mind and Machine. Reading, MA: Addison-Wesley.Google Scholar
Tommelein, I. D., Levitt, R. E., and Hayes-Roth, B., 1991. SightPlan Experiments: Alternate Strategies for Site Layout Design, ASCE Journal of Computing in Civil Engineering 5 4263.CrossRefGoogle Scholar
Tommelein, I. D., 1989. SightPlan—An Expert System That Models and Augments Human Decision-Making for Designing Construction Site Layouts, PhD Dissertation, Standard, CA.Google Scholar
Tommelein, I. D., Johnson, M. V. Jr, Hayes-Roth, B., and Levitt, R. E. 1987 a. SightPlan: A Blackboard Expert Systems for Construction Site Layout. In Expert Systems in Computer-Aided Design, ed Gero, J. S., pp. 153167. Amsterdam: North Holland.Google Scholar
Tommelein, I. D., Levitt, R. E., Hayes-Roth, B. 1987 b. Using Expert Systems for the Layout of Temporary Facilities on Construction Sites. In Managing Construction Worldwide Vol. 1 ed Lansley, P. R. and Harlow, P. A., pp. 566577. London: E & F.N. Spon.Google Scholar
van Melle, W. 1980. A Domain-independent Production-Rule System for Consultation Programs. Report No. STAN-CS-820, June.Google Scholar