Artificial Intelligence in Design '91J. S. Gero Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work. |
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Page 67
... parameter. The decay parameter tends to move the activation of a unit back to a state of rest (commonly an activation value of 0). The larger the value of the decay term, the stronger this tendency. The decay term instigates continual ...
... parameter. The decay parameter tends to move the activation of a unit back to a state of rest (commonly an activation value of 0). The larger the value of the decay term, the stronger this tendency. The decay term instigates continual ...
Page 102
... parameter object, and the parameter assembly obj is the identity of the wall causing the window to be instantiated. During the design process, the designer may establish a window in the exterior wall by a command, for example ADD waw ...
... parameter object, and the parameter assembly obj is the identity of the wall causing the window to be instantiated. During the design process, the designer may establish a window in the exterior wall by a command, for example ADD waw ...
Page 105
... parameters, pre- and post-conditions, and structured English or algorithmic description of the behaviour.] I = {set of invariant conditions} Example 1. A structural component is a special component that supports some other component ...
... parameters, pre- and post-conditions, and structured English or algorithmic description of the behaviour.] I = {set of invariant conditions} Example 1. A structural component is a special component that supports some other component ...
Page 211
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Page 212
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Contents
1 | |
Learning in design1 | 247 |
Learning in design2 | 301 |
Nonmonotonic reasoning in design | 421 |
Conceptual design | 643 |
Applications of AI in design | 783 |
Integrated designsystems and tools | 857 |
Author index | 941 |
Author electronic addresses | 942 |
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Common terms and phrases
abstraction action activity algorithm alternative analysis application approach architecture artifact Artificial Intelligence attributes automated behavior blackboard blackboard system CAAD CAD system case-based reasoning circuit design complex components computer-aided design concept connectionism connectionist constraints construction context database decisions decomposition defined described design knowledge design object design problem design process design solution design system design task design variables design-dependent device domain knowledge domain theory drug design elements evaluation example expert system function geometric Gero goal heuristics hierarchy ICADS identify implemented inference input instance instantiated integrated interaction interface knowledge base knowledge representation knowledge sources knowledge-based learning machine learning mechanism method modified module nodes object-oriented operation optimisation parameters performance pharmacophore Prolog qualitative relationships representation represented rules selection semantic space specific structure sub-system truth maintenance system values