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Artificial Intelligence in Engineering Design. Knowledge by Christopher Tong

By Christopher Tong

Artificial Intelligence in Engineering Design is a 3 quantity edited choice of key papers from the sector of man-made intelligence and layout, aimed toward supplying an outline of the sector, and concentrating on how principles and techniques from manmade intelligence may help engineers within the layout of actual artifacts and approaches. The ebook surveys a wide selection of purposes within the parts of civil, mechanical, chemical, VLSI, electric, and laptop engineering. The individuals are from prime educational computer-aided layout facilities in addition to from undefined.

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Extra info for Artificial Intelligence in Engineering Design. Knowledge Acquisition, Commercial Systems, and Integrated Environments

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3. Models of Innovative Design In innovative design tasks, routine design is not possible because of missing design knowledge. The missing knowledge might either be knowledge for directly generating new points in the design space, or knowledge for directly controlling the design space search. In this section, we will examine four dif­ ferent classes of innovative design. The first three focus (primarily) on missing generative knowledge, while the last deals with missing control knowledge: • Innovation via case-based reasoning • Innovation via structural mutation • Innovation by combining multiple knowledge sources • Search convergence by explicit planning of the design process The first three approaches can be used to create innovative designs', the last ap­ proach involves creating innovative design plans, or innovative reformulations of the design problem .

Negotiation techniques, which deal with conflict detection and resolution between various agents. 4. Transaction management issues, which deal with the interaction issues between the agents and the central communication medium. 5. Design methods, which deal with techniques utilized by in­ dividual agents. 6. Visualization techniques, which include user interfaces and physical modeling techniques. Several papers in Volume III address some of the above issues; [33] contains ad­ ditional papers in this area.

In ARGO, the same design session can yield several design cases, each at a different level of generality. Cases are stored as rules ("macrorules"), wherein the precise conditions for reuse of that case are stated explicitly. , cobject attribute value> tuples); functional block diagramming; causal graphs; and configuration spaces. Design case storage. In BOGART, the cases were automatically stored ver­ batim (when the user so chose) after a session with the VEXED design system (Volume I, Chapter 8).

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