Artificial Intelligence in Design ’96John S. Gero, Fay Sudweeks Change is one of the most significant parameters in our society. Designers are amongst the primary change agents for any society. As a consequence design is an important research topic in engineering and architecture and related disciplines, since design is not only a means of change but is also one of the keystones to economic competitiveness and the fundamental precursor to manufacturing. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for much of current design research -both computational and cognitive. These forms of design research have only been carried out in the last decade or so and in the temporal sense they are still immature. Notwithstanding this immaturity, noticeable advances have been made both in extending our understanding of design and in developing tools based on that understanding. Whilst many researchers in the field of artificial intelligence in design utilise ideas about how humans design as one source of concepts there is normally no attempt to model human designers. Rather the results of the research presented in this volume demonstrate approaches to increasing our understanding of design as a process. |
Contents
| 23 | |
vi | 57 |
Part | 93 |
AI in control system design using a new paradigm for design | 135 |
Sourav Kundu Seiichi Kawata | 151 |
Part | 159 |
Reuse of Designs 229 | 228 |
Grammars in Design | 289 |
Learning in Design | 406 |
Distributed Design | 463 |
Rules Models and Theories in Design | 525 |
Conceptual Design 581 | 580 |
Rodney A Buckland | 603 |
Spatial and Layout Planning in Design 641 | 640 |
Creativity and Innovation in Design 701 | 700 |
First author electronic addresses | 781 |
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Common terms and phrases
adaptation agent application approach architecture Artificial Intelligence behaviour case-based Case-Based Reasoning circuit complex component concept conceptual design configuration context CPDM crossover database defined described design knowledge design objects design patterns design problem design process design solution design space domain elements engineering design environment evaluation evolved example experts feedback fitness function genes genetic algorithm genotype geometric Gero and F goal IDIOM implementation input integrated Intelligence in Design interaction interface iterative J. S. Gero Kluwer knowledge representation layout learning Machine Learning menu method model constraints module molecules node ontology output parameters Pareto optimal Pareto set phenotype proposed relation represent representation requirements retrieval reuse rules search space semantic sequence shape grammar shown in Figure simulation solid modelling solution concept solution space specification strategy structure Sudweeks eds synthesis task techniques topology types variables VHDL