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Titlebook: Exploration and Innovation in Design; Towards a Computatio D. Navinchandra Book 1991 Springer Science+Business Media New York 1991 Layout.a

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书目名称Exploration and Innovation in Design
副标题Towards a Computatio
编辑D. Navinchandra
视频video
丛书名称Symbolic Computation
图书封面Titlebook: Exploration and Innovation in Design; Towards a Computatio D. Navinchandra Book 1991 Springer Science+Business Media New York 1991 Layout.a
描述.Exploration and Innovation in Design. is one of the first books to present both conceptual and computational models of processes which have the potential to produce innovative results at early stages of design. Discussed here is the concept of exploration where the system, using computational processes, moves outside predefined available decisions. Sections of this volume discuss areas such as design representation and search, exploration and the emergence of new criteria, and precedent-based adaptation. In addition, the author presents the overall architecture of a design system and shows how the pieces fit together into one coherent system. Concluding chapters of the book discuss relationships of work in design to other research efforts, applications, and future research directions in design. The ideas and processes presented in this volume further our understanding of computational models of design, particularly those that are capable of assisting in the production of non-routine designs, and affirm that we are indeed moving toward a science of design.
出版日期Book 1991
关键词Layout; algorithms; computational design; constraint satisfaction; exploration and innovation in design;
版次1
doihttps://doi.org/10.1007/978-1-4612-3114-1
isbn_softcover978-1-4612-7802-3
isbn_ebook978-1-4612-3114-1
copyrightSpringer Science+Business Media New York 1991
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https://doi.org/10.1007/978-3-030-14023-6tation for the criteria that will be used to evaluate generated solutions. The formulation we use is based on the classic labeling problem [Waltz 75]. The labeling idea has been extended to suit the design domain by adding the notions of consistency [Nadel 85a] and optimization [Navinchandra 86a].
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Bi-Lipschitz Property of HQC Mappings,om one’s ability to break the rules, to look beyond the norms and to avoid mind-sets. In fact, many of the ideas about constraint relaxation presented in this book are themselves a result of constraint relaxation! As I recall, the hardest task in applying constraint relaxation to a problem is not th
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