Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Prolog user's handbook: a library utility programs
Prolog user's handbook: a library utility programs
Systematic design in intelligent CAD systems
Intelligent CAD systems I: theoretical and methodological aspects
KARDIO: a study in deep and qualitative knowledge for expert systems
KARDIO: a study in deep and qualitative knowledge for expert systems
Introduction to knowledge systems
Introduction to knowledge systems
Engineering design: a synthesis of views
Engineering design: a synthesis of views
Prolog (3rd ed.): programming for artificial intelligence
Prolog (3rd ed.): programming for artificial intelligence
Investigating novelty–outcome relationships in engineering design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Since the operation of technical systems can be explained using physical laws, why then might we not use them explicitly in designing these systems? The characteristic initial binding variable, with which appropriate physical laws are sought, first needs to be extracted from the function of the future technical system. If there are several appropriate physical laws (i.e., operators), we evaluate them using the Analytic Hierarchy Process (AHP) method. The most suitable is then selected with regard to the chosen criteria based on design requirements. When one physical law is not sufficient for the design of a technical system, several laws are linked together using binding variables to form a conceptual chain (i.e., macro-operator). Such a chain does not only contain supporting physical laws; physical laws indirectly introduce basic models of shape, their basic topology, geometry, and basic material properties into the chain. A prototype computer-aided design system is based on the prescriptive conceptual design model presented below.