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Qualitative and Quantitative Knowledge in Classical Mechanics

dc.date.accessioned2004-10-20T20:06:19Z
dc.date.accessioned2018-11-24T10:22:24Z
dc.date.available2004-10-20T20:06:19Z
dc.date.available2018-11-24T10:22:24Z
dc.date.issued1975-12-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6912
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6912
dc.description.abstractThis thesis investigates what knowledge is necessary to solve mechanics problems. A program NEWTON is described which understands and solves problems in mechanics mini-world of objects moving on surfaces. Facts and equations such as those given in mechanics text need to be represented. However, this is far from sufficient to solve problems. Human problem solvers rely on "common sense" and "qualitative" knowledge which the physics text tacitly assumes to be present. A mechanics problem solver must embody such knowledge. Quantitative knowledge given by equations and more qualitative common sense knowledge are the major research points exposited in this thesis. The major issue in solving problems is planning. Planning involves tentatively outlining a possible path to the solution without actually solving the problem. Such a plan needs to be constructed and debugged in the process of solving the problem. Envisionment, or qualitative simulation of the event, plays a central role in this planning process.en_US
dc.format.extent121 p.en_US
dc.format.extent6578203 bytes
dc.format.extent5174747 bytes
dc.language.isoen_US
dc.titleQualitative and Quantitative Knowledge in Classical Mechanicsen_US


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