By Christopher Tong (Eds.)
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Additional resources for Artificial Intelligence in Engineering Design. Models of Innovative Design, Reasoning about Physical Systems, and Reasoning about Geometry
As in the AIR-CYL system - Volume I, Chapter 7). 3. Non-iterative, knowledge-based routine design For some design tasks, sufficient knowledge or methods are available that a single pass (more or less) of top-down refinement - possibly aided by constraint processing, patching, and directly applicable control knowledge -- is generally sufficient for converging on an acceptable design. This kind of design process model is demonstrated in several systems discussed in this book, including AIRCYL (Volume I, Chapter 7) and VEXED (Volume I, Chapter 8).
Compositional interactions are typically weak interactions; they are usually representable by semi-local constraints. In contrast, resource interactions are typically strong interactions, representable by global constraints. Amount and type of knowledge a system user can provide. In considering the nature of a design task, we will consider human users as knowledge sources, and thus classify the design tasks addressed by a particular knowledge-based design system as "routine" or "innovative" depending on how much knowledge (and method) the system and the user together can provide during the overall design process.
Other simple design tasks can be cast as constraint satisfaction problems (CSPs) when: only parameter values are left unspecified; each parameter has a discrete, finite range of values; the constraints are unary or binary predicates on these parameters; and there are no optimization criteria. In such a case, the constraint satisfaction methods of  apply. ). Many of these conventional methods have performance guarantees of various sorts: linear programming and AND/OR graph search are guaranteed to find a global optimum; if the constraint network is a tree, constraint satisfaction methods are guaranteed to run in polynomial time; etc.
Artificial Intelligence in Engineering Design. Models of Innovative Design, Reasoning about Physical Systems, and Reasoning about Geometry by Christopher Tong (Eds.)