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dc.contributor.advisorSzolovits, Peteren_US
dc.contributor.authorSacks, Elishaen_US
dc.date.accessioned2023-03-29T15:10:51Z
dc.date.available2023-03-29T15:10:51Z
dc.date.issued1984-11
dc.identifier.urihttps://hdl.handle.net/1721.1/149601
dc.description.abstractQualitative analysis is the study of abstract causal reasoning. It explores the mechanisms whereby humans analyze complex systems abstractly, while ignoring unimportant and unknown low-level details. Previous research has focused on qualitative simulation techniques, analogous to numerical simulation, that use local information about a system to predict its short-term behavior. This thesis presents a new, calculus based, type of qualitative analysis, called qualitative mathematical reasoning. It derives functional descriptions of systems and uses them to predict global behavior.en_US
dc.relation.ispartofseriesMIT-LCS-TR-329
dc.titleQualitative Mathematical Reasoningen_US
dc.identifier.oclc13364375


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