By Daniel S. Weld, Johan De Kleer
Readings in Qualitative Reasoning approximately actual platforms describes the automatic reasoning in regards to the actual international utilizing qualitative representations.
This textual content is split into 9 chapters, every one targeting a few point of qualitative physics. the 1st bankruptcy care for qualitative physics, that is thinking about representing and reasoning in regards to the
physical international. The aim of qualitative physics is to catch either the common-sense wisdom of the individual in the street and the tacit wisdom underlying the quantitative wisdom utilized by engineers and scientists. The succeeding bankruptcy discusses the qualitative calculus and its position in developing an envisionment that comes with habit over either legendary time and elapsed time. those themes are through studies of the mathematical facets of qualitative reasoning, history-based simulation and temporal reasoning, in addition to the intelligence in medical computing. the ultimate chapters are dedicated to automatic modeling for qualitative reasoning and causal motives of habit. those chapters additionally research the qualitative kinematics of reasoning approximately form and area.
This publication will end up valuable to psychologists and psychiatrists.
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Extra info for Readings in Qualitative Reasoning About Physical Systems
Sample text
This functional vocabulary appears to help organize their knowledge for several pur poses. In diagnosis, symptoms might be computed by comparing current be havior against the standard behavior stored with the functional description. In design, a functional vocabulary provides an intermediate goal that constrains the search space. The designer might decide what combination of functional blocks would achieve her purpose, and then figure out how to implement this functionality with the available components.
Building such a massive knowledge base will be impossible on an ad hoc basis. Ontology provides one source of organizing principles, but there are no doubt others. Hierarchy plays an important role in organizing many other AI knowledge bases, and it is likely to do so in qualitative physics as well. Making qualitative simulations work with multiple levels of detail is an important problem (see [Weld, 1986; Kuipers, 1987] for some initial forays). At least two other organizational ideas appear necessary as well.
1986, 1988]) and psy chological experiments. The other approach, the Automated Physicist project, is being carried out in collaboration with Jerry DeJong. The idea is to build a series of machine learning systems that learn by experimentation and observation and by solving textbook problems. The dream behind the AP project is to build a sort of "Sherlock Holmes" of physics—it it begins by sitting back in its armchair and trying to explain reported behavior in the physical world. If it can explain a re- Overview and Motivation flow, for instance, the domain compiler produces an inference rule describing what it takes to cause a liquid flow to happen.