CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

authors Zreik, Khaldoun
year 1991
title What Could Artificial Intelligence Know about the Knowledge Involved in the Design Process?
source Computer Aided Architectural Design Futures: Education, Research, Applications [CAAD Futures ‘91 Conference Proceedings / ISBN 3-528-08821-4] Zürich (Switzerland), July 1991, pp. 395-410
summary The nature of the knowledge involved in the design process is very specific and it is incompletely known. Its control becomes very complicated owing to the large number of dynamic parameters and functions which define the relationships between one another. So we consider two relevant facts: 1.) all knowledge involved in the design process could not have been foreseen; 2.) the help of computer technology in this domain is badly oriented. Two major questions will be posed here: a. what kind of design knowledge do designers explicitly master? b. and which parts of it can computer technology represent today? // This paper aims to build a simple panorama of the knowledge involved in the architectural design process. Actors, resources and corresponding classifications of this knowledge and also its dynamic distribution will be presented. This paper also throws light upon how important are artificial intelligence sciences and tools for the improvement of the design process computability.
series CAAD Futures
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100%; open Akin, 0. (1988) Find in CUMINCAD Expertise of the Architect , Michael D. Rychena (ed.). Expert Systems for Engineering Design. Pittsburgh, Pennsylvania: Academic Press edition, pp. 173-192
100%; open Brown, D.C. and Chandrasekaran, B. (1988) Find in CUMINCAD Expert System for a Class of Mechanical Design Activity , D.T. Phun (ed.). Expert Systems in Engineering. IFS Publications/Spirnger-Verlag, pp. 334-360
100%; open Carbonell, J.G. (1986) Find in CUMINCAD Derivational Analogy: a Theory of Reconstructive Problem Solving and Expertise Acquisition , R.S. Michalsky, J.G. Carbonell, T.M. Mitchell (eds.). Machine Learning: An Artificial Intelligence Approach Vol 2 Los Altos, CA: Morgan Kaufmann
100%; open DeJong, G.F. (1996) Find in CUMINCAD Some Thoughts on the Present and Future of Explanation-Based Learning , R.S. Michalsky, J.G. Carbonell. T.M. Mitchell (eds.). Machine Learning: An Artificial Intelligence Approach, Vol. 2 Los Altos, CA: Morgan Kaufmann. pp. 571-590
100%; open Dietterich, T.G. and Michalski, R.S. (1984) Find in CUMINCAD A Comparative Review of Selected Methocis for Learning from Examples , Machine Learning an Al qpproach, pp. 41-75 Springer-Valag
100%; open Flemming, U. (1988) Find in CUMINCAD Rule-Based Systems in Computer Aided Architectural Design , Michael D., Rychene, T. (eds.). Expert Systems Engineering Design, p. 93-110 Pittsburgh, Pennsylvania: Academic Press edition
100%; open Guena, F. and Zreik, K. (1989) Find in CUMINCAD An Architect Assisted Architectural Design System , AIENG 89 Cambridge, UK
100%; open Hart, A. (1986) Find in CUMINCAD Knowledge Acquisition for Expert Systems , Chapter 4 Kogan Page Ltd- U.K - pp. 39-48
100%; open Heath, T. (1989) Find in CUMINCAD Social Aspects of Creativity and their Impact on Creativity Modeling , Preprints of International Round-Table Conference, Modeling Creativity and Knowledge-Based. Creative Design, pp. 1-12 11-14 December, Heron Island
100%; open Kodratoff, Y. and Ganascia, J.G. (1986) Find in CUMINCAD Improving the Generalization Step in Learning , R.S. Michalsky, J.G. CarbonelL T.M. Mitchell (eds.). Machine Learning: An tificial Intelligence Approach, vol. 2, Los Altos, CA: Morgan Kaufmann
100%; open Laird. J.E., Rosenbloom, P.S. and Newell, A. (1996) Find in CUMINCAD Chunking in SOAR: The Anatomy of a General Learning Mechanism , Machine Learning, no. 1: 11-46
100%; open MacDermott, J. (1982) Find in CUMINCAD RI: Rule-Based Configurer of Computer System , Artificial Intelligence 19, no. 1
100%; open Maher, M.L. (1985) Find in CUMINCAD Hi-Rise and beyond: Directions for Expert Systems in Design , CAD 17 no. 9: 420-427
100%; open Miniton, S., Carbonell, I.G., Knoblock, C.A., Kuokka, D.R., Etzioni, 0. and Gil, Y. (1989) Find in CUMINCAD Explanation-Based Lzaming: a Problem Solving Perspective , Artificial Intelligence 40 no. 1-3: 63-118
100%; open Mitchell T.M., Utgoff, P.E. and Banerji, R. (1984) Find in CUMINCAD Learning by Experimentation: Acquiring and Refining Problem Solving Heuristics , Machine Learning an A1,4pproach, pp. 163-189 Springer-Verlag
100%; open Mitchell, T.M., Mahadevan, S. and Steinberg, L.I. (1985) Find in CUMINCAD Machine Learning, a Guide to Current Research , Kluwer Academic Publishers, pp. 203-207
100%; open Mostow, J. (1989) Find in CUMINCAD Design by Derivational Analogy: Issues in the Automated Replay of Design Plans , Artificial InteHigence 40 no. 1-3: 119-184
100%; open Quinlan, J.R. (1989) Find in CUMINCAD Induction from Structured Data , Australasian Conference on Expert Systems in Engineering, Architecture and Construction, pp. 303-320
100%; open Radford, A.D. and Gero, J.S. (1985) Find in CUMINCAD Towards Generative Expert Systems for Architectural Detailing , CAD 17 no. 9: 428-434
100%; open Schank, R.C. and Leak, D.S. (1989) Find in CUMINCAD Creativity and Learning in a Case Based Explainer , Artificial Intelligence 40 no. 1-3: 353-386

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