Knowledge Aided Design

Knowledge Aided Design

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Description

While computers have made a dramatic impact on most realms of business and industry, engineering has been a notable exception. The current technology, computer aided drafting (CAD) is useful only long after engineers have made their fundamental design decision. The next generation of tools should provide knowledge aided design (KAD), where computers supply the knowledge necessary to help engineers in the earlier stages of design - when they make the more basic, and expensive decisions. "Knowledge Aided Design" examines the role of knowledge in computer aided design, specifically addressing the application of artificial intelligence techniques in the engineering domain. The articles can be grouped into three categories: the first containing theoretical papers on aspects of design as a human problem solving activity, the second explaining tools and techniques which are applicable to creating systems for knowledge based design systems, and the third describing specific systems and the experiences of their builders. The book should be of particular interest to those in research and development concerned with artificial intelligence, knowledge based systems and engineering design.
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Product details

  • Hardback | 304 pages
  • 152 x 229 x 23mm | 540g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0122982509
  • 9780122982507

Table of contents

Conceptions and misconceptions of knowledge aided design, Marc Green; design problem solving - a task analysis, B. Chandrasekaran; towards a domain-indepedent synthesis system, William Birmingham and Iris Tommelein; compiling redesign plans and diagnosis rules from a structure behaviour device model, Richard Keller, et al; design fusion - an architecture for concurrent design, Mark Fox, et al; knowledge-based design rationale capture - automating engineering trade studies, John Boose; knowledge acquisition for knowledge-based design systems, Sandra Marcus; experiences with modelling memory and simple learning in routine design problem solving systems, David Brown, et al; eliminating search in design via learning, Chris Tong.
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