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

PDF papers
authors Gero, John S.
year 1986
title An Overview of Knowledge Engineering and its Relevance to CAAD
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 107-119
summary Computer-aided architectural design (CAAD) has come to mean a number of often disparate activities. These can be placed into one of two categories: using the computer as a drafting and, to a lesser extent, modelling system; and using it as a design medium. The distinction between the two categories is often blurred. Using the computer as a drafting and modelling tool relies on computing notions concerned with representing objects and structures numerically and with ideas of computer programs as procedural algorithms. Similar notions underly the use of computers as a design medium. We shall return to these later. Clearly, all computer programs contain knowledge, whether methodological knowledge about processes or knowledge about structural relationships in models or databases. However, this knowledge is so intertwined with the procedural representation within the program that it can no longer be seen or found. Architecture is concerned with much more than numerical descriptions of buildings. It is concerned with concepts, ideas, judgement and experience. All these appear to be outside the realm of traditional computing. Yet architects discoursing use models of buildings largely unrelated to either numerical descriptions or procedural representations. They make use of knowledge - about objects, events and processes - and make nonprocedural (declarative) statements that can only be described symbolically. The limits of traditional computing are the limits of traditional computer-aided design systems, namely, that it is unable directly to represent and manipulate declarative, nonalgorithmic, knowledge or to perform symbolic reasoning. Developments in artificial intelligence have opened up ways of increasing the applicability of computers by acquiring and representing knowledge in computable forms. These approaches supplement rather than supplant existing uses of computers. They begin to allow the explicit representations of human knowledge. The remainder of this chapter provides a brief introduction to this field and describes, through applications, its relevance to computer- aided architectural design.
series CAAD Futures
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100%; open Barr, A. and Feigenbaum, E. (1981) Find in CUMINCAD Handbook ofArtificial Intelligence , Vol. 1, Los Altos: Wilham Kaufmann

100%; open Buchanan, B. and Shortlifee, E. (1984) Find in CUMINCAD Rule-Based Expert Systems , Reading, Mass.: Addison-Wesley

100%; open Clocksin, W. and Mellish, C. (1981) Find in CUMINCAD Programming in Prolog , Berlin: Springer-Verlag

100%; open Coyne, R. and Gero, J. (1984) Find in CUMINCAD Design Knowledge and Sequential Plans , Working Paper, Computer Applications Research Unit, Department of Architectural Science, University of Sydney

100%; open Coyne, R.D. (1985) Find in CUMINCAD A Review of Expert Planning Systems for Computer-aided Design , Architectural Science Review 28, No.4, 95-103

100%; open Feigenbaum, E. (1977) Find in CUMINCAD The Art of Artificial Intelligence: Themes and Case Studies in , Knowledge Engineering, IJCAI-77, Los Altos: William Kaufmann, 1014-1029

100%; open Gero, J. and Coyne, R. (1984) Find in CUMINCAD Logic Programming as a Means of Representing Semantics in Design Languages , Working Paper, Computer Applications Research Unit, Department of Architectural Science, University of Sydney

100%; open Gero, J.S. and Coyne, R.D. (1985) Find in CUMINCAD Knowledge-based Planning as a Design Paradigm , Working Paper, Computer Applications Research Unit, Department of Architectural Science

100%; open Gero, J.S. (1985) Find in CUMINCAD Expert Systems in Design and Analysis , Natīl Eng. Conf., IEAust, pp. 211-217

100%; open Kowalski, R. (1979) Find in CUMINCAD Logic for Problem Solving , Amsterdam: North-Holland

100%; open Nilsson, N. (1980) Find in CUMINCAD Principles of Artificial Intelligence , Palo Alto: Tioga Publishing

100%; open Post, E. (1943) Find in CUMINCAD Formal Reductions of the General Combinatorial Decision Problem , American J. Maths 65, 197-268

100%; open Rosenman, M.A. and Gero, J.S. (1985) Find in CUMINCAD Design Codes as Expert Systems , Computer-Aided Design 17, No. 9

100%; open Rosenman, M.A. (1985) Find in CUMINCAD BUILD expert system shell , User Manual, Computer Applications Research Unit, Department of Architectural Science, University of Sydney

100%; open Stiny, G. (1980) Find in CUMINCAD Introduction to Shape and Shape Grammars , Environment and Planning B, 7, 343-351

100%; open Winston, P. (1984) Find in CUMINCAD Artificial Intelligence , Reading, Mass.: Addison-Wesley

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