Artificial Intelligence in Engineering Design: Models of Innovative Design, Reasoning About Physical Systems and Reasoning About Geometry v. 2
Second of a three-volume edited collection of key papers from the field of AI and design, aimed at providing a state-of-the-art description of the field, and focusing on how ideas and methods from artificial intelligence can help engineers in the design of physical artifacts and processes. The volumes survey a wide variety of applications in the areas of civil, chemical, electrical, computer, VLSI, and mechanical engineering, and are intended for those working in these fields and for AI researchers interested in AI applications to engineering design. Volume II covers such topics as models of innovative design - advanced reasoning and design systems based on case-based reasoning, structural mutation, multiple knowledge sources, and planning of the design process; reasoning about physical systems - AI approaches for performing temporal qualitative reasoning about physical systems; and reasoning about geometry - AI approaches for reasoning about geometry and kinematics.
- Hardback | 544 pages
- 157.48 x 231.14 x 30.48mm | 861.82g
- 01 Sep 1992
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- references, index
Table of contents
Part 1 Models of innovative design: introduction, C. Tong and D. Sriram; automated reuse of design plans in BOGART; ARGO - an analogical reasoning system for solving design problems, M. Huhns and R. Acosta; retrieval strategies in a case-based design system, K. Sycara and D. Navinchandra; case-based design - a task analysis, A. Goel and B. Chandrasekaran; function sharing in mechanical design, K. Ulrich and W. Seering; ALADIN - an innovative materials design system, M. Rychener, et al; the ADAM design planning engine, D. Knapp and A. Parker; using exploratory design to cope with problem complexity, C. Tong. Part 2 Reasoning about physical systems: temporal qualitative analysis - explaining how physical systems work, B. Williams. Part 3 Reasoning about geometry: studies of heuristic knowledge-based approaches for automated configuration generation and innovation, G. Nevill; a case-based approach to the design of mechanical linkages, G. Kramer and H. Barrow; mechanism comparison and classification for design, L. Koskowicz; how and why to get an AI or CAD/CAM system to look at your objects, L. Leff and D. Yun.