Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-29T19:01:15.421Z Has data issue: false hasContentIssue false

A communication model to aid knowledge-based design systems

Published online by Cambridge University Press:  27 February 2009

David V. Morse
Affiliation:
IBM Corporation, Four Allegheny Center, Pittsburgh, PA 15212, U.S.A.
Chris Hendrickson
Affiliation:
Department of Civil Engineering, Carnegie–Mellon University, Pittsburgh, PA 15213, U.S.A.

Abstract

Recent research in the area of computer-aided engineering design has focused on the development of environments that provide effective integration of several domain specialties for complex multidisciplinary synthesis problems. The definition of communication requirements for co-operative interaction—and the subsequent establishment of a conceptual model for automating the process—are important considerations in the development of such environments. A communication model can also provide the basis for development of a knowledge engineering strategy by defining the organizational and representational requirements for domain knowledge in the automated system. This paper presents a conceptual model for communication in automated interactive design and demonstrates how the model can be employed as a knowledge engineering tool to facilitate the acquisition and organization of domain expertise. Both the process architecture and semantic modeling aspects of the communication problem are considered. An example is included which illustrates the use of the model in formulating an automated integrated engineering system in the domain of floor and equipment layout and design for industrial facilities.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1990

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adeli, H. 1988. Expert Systems in Construction and Structural Engineering. New York: Chapman & Hall.CrossRefGoogle Scholar
Bond, A. H. and Gasser, L. 1988. Readings in Distributed Artificial Intelligence. San Mateu, CA: Morgan Kaufmann.Google Scholar
Brodie, M. L. and Mylopoulos, J. 1986. On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies. New York: Springer-Verlag.CrossRefGoogle Scholar
Dym, C. L. 1987. Implementation issues in the building of expert systems. In Expert Systems for Civil Engineers (Maher, M. L., Ed.). New York: American Society of Civil Engineers.Google Scholar
Fenves, S.Flemming, U.Hendrickson, C.Maher, M. L. and Schmitt, G. 1990. An integrated software environment for building design and construction. Computer Aided Design, 22, 2736.CrossRefGoogle Scholar
Hayes-Roth, B. 1985. A blackboard architecture for control. Artificial Intelligence, 26, 251321.CrossRefGoogle Scholar
Howard, H. C. and Rehak, D. R. 1989. KADBASE: interfacing expert systems with databases. IEEE Expert, 6576.CrossRefGoogle Scholar
Howard, H. C.Levitt, R. E.Paulson, B. C.Pohl, J. G. and Tatum, C. B. 1989. Computer integration: reducing fragmentation in the AEC industry. Journal of Computing in Civil Engineering, American Society of Civil Engineers, 3, 1832.CrossRefGoogle Scholar
Maher, M. L. Ed. 1987. Expert Systems for Civil Engineers. New York: American Society of Civil Engineers.Google Scholar
Morse, D. V. and Hendrickson, C. 1989. Communication in Automated Engineering Design. Technical Report EDRC–12–32–89, Engineering Design Research Center, Carnegie-Mellon University, Pittsburgh, PA.Google Scholar
Morse, D. V. 1990. Communication in Automated Interactive Engineering Design. Ph.D. Dissertation, Carnegie-Mellon University.Google Scholar
Morse, D. V. and Hendrickson, C. 1991. A model for communication in automated interactive engineering design. Journal of Computing in Civil Engineering, American Society of Civil Engineers, 5(1), to appear.Google Scholar
Olsen, S. A. 1982. Group Planning and Problem-Solving Methods in Engineering Management. New York: John Wiley.Google Scholar
Pohl, J.Chapman, A. and Chirica, L. 1988. ICADS: Toward an Intelligent Computer-Aided Design System. Technical Report CADRU-01–88, CAD Research Unit, School of Architecture and Environmental Design, California Polytechnic State University, San Luis Obispo, CA.Google Scholar
Rasdorf, W. J. and Fenves, S. J. 1986. Constraint enforcement in a structural design database. ASCE Journal of Structural Engineering, 112, 25652578.CrossRefGoogle Scholar
Rehak, D. R.Howard, H. C. and Sriram, D. 1985. Architecture of an integrated knowledge-based environment for structural engineering applications. In Knowledge Engineering and Computer-Aided Design (Gero, J., Ed.). Amsterdam: North Holland.Google Scholar
Sathi, A., Morton, T. E. and Roth, S. F. 1986. Callisto: an intelligent project management system. AI Magazine, 7, 3452.Google Scholar
Tomiyama, T. and Yoshikawa, H. 1985. Requirements and principles for intelligent CAD systems. In Knowledge Engineering and Computer-Aided Design (Gero, J., Ed.). Amsterdam: North Holland.Google Scholar
Westerberg, A. W. 1989. Process Engineering. Technical Report EDRC-06–54–89. Engineering Design Research Center, Carnegie-Mellon University, Pittsburgh, PA.Google Scholar