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
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Two approaches to the integration of artificial intelligence and knowledge-based systems into architectural design practice are currently dominant. One attempts to create systems which can on their own produce designs, the other provides intelligent support for those doing design. It was, in part, the recognition of limitations in the ability of traditional CAD systems and building modelers to reflect what designers actually do that led to explorations into the idea of intelligent assistants. Development of such assistants was aided by research into the act and process of design through protocol and other studies. Although some work is currently being done in the development of artificial intelligence and knowledge based applications in architecture, and work continues to be done on the study of design methodologies, the bulk of available information in each of these areas remains in the realm of design disciplines related to but outside of architecture and do not reflect the explicit role of architectural design in the embodiment and expression of culture.
The relationship of intelligence to culture has resulted in some skepticism regarding the ultimate capacity of neural nets and symbolically programmed computers in general. Significant work has been done questioning the rational tradition in computer development for its failure to address phenomena which are not easily subject to scientific analysis. Further skepticism regarding the role of artificial intelligence and knowledge-based or expert systems in architectural design has been emerging recently. Such criticism tends to focus on two issues: the nature of drawing as an activity which involves both the generation and interpretation of graphic artifacts, and the nature of the human designer as an active agent in the design process.
In design search, design evolves from one state to another by exhaustively or heuristically applying proper rules. Each rule application involves, first, pattern-matching the antecedent of a rule to the current state and, second, transforming the matched portion of that state into the consequence of the rule. However pattern-matching techniques of current CAAD systems are still limited. In current CAAD systems, only those two squares can be dealt with by patternmatching for further development. However, a human designer can effortlessly recognize not only those two but other emergent subshapes, for example a smaller square in the middle where the two squares overlap and two L-shapes in the corners. Therefore a human designer can thoroughly deliberate all these alternatives before making a decision. In other words, human designer is capable of restructuring shapes in terms of emergent subshapes in any step of designing.
This project emphasizes the use of visual data. The purpose of the research has been to develop a computer system for urban designers to use in analyzing urban architectural qualities. Therefore this project focuses on applying traditional methods and theories of urban designers rather than developing new computer techniques.
The traditional methods and theories of urban designers fall within the category which the French theorist Francoise Choay calls Pre-urbanism and Urbanism - the Cultural Model. Theorists within this category include Camillo Sitte, Gordon Cullen, Kevin Lynch, Leon Krier, Aldo Rossi, Michael Trieb, Roger Tranzick and Thiis-Evensen.
This computer system has been developed as a prototype in order to gain experience and knowledge for future development of a large system. Later development will be based upon a vectorized threedimensional model of a whole city using texture mapping and tracing techniques to annotate important architectural features.
The computer system consists of the basic analysis module supplied with a simulation unit and a theory unit. With this analytical tool, analysis is conducted on three different urban scales. The prototype has been developed on the Macintosh computer with SuperCard as the authoring tool.
The computer system was developed as a prototype for Danish Urban Designers and is currently being tested in conjunction with the city of Viborg, Denmark. ( population 55,000). Located in Jutland, Viborg was the capital of Denmark around the year 1000. It now functions as a center for regional government. Viborg was selected as the test site because of its historical core.
This study describes a system that has been developed to address a number of these issues. Based on research findings from the field of Artificial Intelligence which expounds on the need for multiple techniques to represent any complex area of knowledge, we have selected a particular approach that focuses on multiple techniques for design representation. We review this approach in depth by considering its many facets necessary when implementing a knowledge-based system. We then partially test the viability of this approach through a small case study, implementing a knowledge-based system for designing stairs. While this effort only deals with a small part of the total design process, it does explore a number of significant issues facing the development of computer-based design assistants, and suggests several techniques for addressing these concerns.
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