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. |
From inside the book
Results 1-5 of 52
Page 24
... sub-problems. Thus the solution of a problem consists in the recursive ... system developed at the University of Ancona, its interpretations and ... systems which provide assistance and control in building specifications (Rosenman M.A. et ...
... sub-problems. Thus the solution of a problem consists in the recursive ... system developed at the University of Ancona, its interpretations and ... systems which provide assistance and control in building specifications (Rosenman M.A. et ...
Page 52
... systems. It should become apparent from the descriptions to follow, that ... system “views that thing. Thus the overall view of the system is manifest in ... (sub-conscious) operations available to cognition. Clark (1989) develops the ...
... systems. It should become apparent from the descriptions to follow, that ... system “views that thing. Thus the overall view of the system is manifest in ... (sub-conscious) operations available to cognition. Clark (1989) develops the ...
Page 64
... system with novel elements. The system effectively identifies whether a new element has siblings, and that this is ... sub-classes, the system performs remarkably well. When a new input pattern is presented, and intended to be a member ...
... system with novel elements. The system effectively identifies whether a new element has siblings, and that this is ... sub-classes, the system performs remarkably well. When a new input pattern is presented, and intended to be a member ...
Page 104
... system would require that a window object be instantiated with an area not less than 5% of the current specified ... sub-system can evaluate these expressions automatically as expression identifiers become available (partial evaluation) ...
... system would require that a window object be instantiated with an area not less than 5% of the current specified ... sub-system can evaluate these expressions automatically as expression identifiers become available (partial evaluation) ...
Page 138
... systems. Complex system design Subsystem design Subsystem design Subsystem design. ZN. ZN. Subsystem design Partial design Solution Figure 1. Decomposition approach to design Decomposition by definition means that something is decomposed ...
... systems. Complex system design Subsystem design Subsystem design Subsystem design. ZN. ZN. Subsystem design Partial design Solution Figure 1. Decomposition approach to design Decomposition by definition means that something is decomposed ...
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