By Christopher Tong
Artificial Intelligence in Engineering Design is a 3 quantity edited choice of key papers from the sphere of synthetic intelligence and layout, geared toward supplying an outline of the sector, and targeting how principles and techniques from manmade intelligence may help engineers within the layout of actual artifacts and procedures. The e-book surveys a wide selection of functions within the components of civil, mechanical, chemical, VLSI, electric, and machine engineering. The participants are from top 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
Design is only one phase or INTRODUCTION 49 aspect of a larger engineering process that also includes market studies, concep tualization, research and development, manufacturing, testing, maintenance and marketing. The more the design process can be integrated with the other en gineering phases, the more cost-effective the entire process will be. , manufacturing con straints) and reformulated so that they are expressed in the language of the ear lier phases. O th er su m m ary references. We have intended this chapter as a brief but com plete summary of the state of the field of AI in Engineering Design.
Planning the design process In a simple routine design scenario, the control questions that must be answered along the way take relatively simple forms: which part of the design to work on next? W hat to do there (refine, implement, optimize, patch)? Of several possible ways to do that, which to pick? Acquirable control knowledge may be sufficient for answering the control questions as they arise. However, for several reasons, a design process model can be more complex, thus giving rise to new control questions, and hence to the need for a more com plex controller: • M ore methods and knowledge sources.
Thus, even if the design system itself has no directly applicable control knowledge, if the user makes choices at every decision point in a manner that leads to rapid convergence on an acceptable solution, then the task is "routine". 2. Design task decomposition While sometimes the terms we have just introduced are appropriately applied to the design task as a whole, it is often the case that "the design task" is a col lection of (themselves sometimes decomposable) subtasks. Whether a task is considered a "routine design task" really depends on whether the subtasks are all routine and on how strongly the subtasks interact; the same design task may have relatively more and less routine parts to it.