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Exaggeration

Artificial Intelligence 43 (3):311-368 (1990)

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  1. The topology of boundaries.Margaret M. Fleck - 1996 - Artificial Intelligence 80 (1):1-27.
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  • Comparative envisionment construction: A technique for the comparative analysis of dynamical systems.Hidde de Jong & Frank van Raalte - 1999 - Artificial Intelligence 115 (2):145-214.
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  • (1 other version)Introduction to the Special Volume on Reformulation.Thomas Ellman & Fausto Giunchiglia - 2005 - Artificial Intelligence 162 (1-2):3-5.
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  • Reasoning about model accuracy.Daniel S. Weld - 1992 - Artificial Intelligence 56 (2-3):255-300.
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  • Order of magnitude reasoning.Olivier Raiman - 1991 - Artificial Intelligence 51 (1-3):11-38.
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  • Reverse formalism 16.Sam Sanders - 2020 - Synthese 197 (2):497-544.
    In his remarkable paper Formalism 64, Robinson defends his eponymous position concerning the foundations of mathematics, as follows:Any mention of infinite totalities is literally meaningless.We should act as if infinite totalities really existed. Being the originator of Nonstandard Analysis, it stands to reason that Robinson would have often been faced with the opposing position that ‘some infinite totalities are more meaningful than others’, the textbook example being that of infinitesimals. For instance, Bishop and Connes have made such claims regarding infinitesimals, (...)
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  • On the applicability of nonmonotonic logic to formal reasoning in continuous time.Manny Rayner - 1991 - Artificial Intelligence 49 (1-3):345-360.
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  • Towards a practical theory of reformulation for reasoning about physical systems.Berthe Y. Choueiry, Yumi Iwasaki & Sheila McIlraith - 2005 - Artificial Intelligence 162 (1-2):145-204.
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  • Higher-order derivative constraints in qualitative simulation.Benjamin J. Kuipers, Charles Chiu, David T. Dalle Molle & D. R. Throop - 1991 - Artificial Intelligence 51 (1-3):343-379.
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  • The Role of Imagistic Simulation in Scientific Thought Experiments.John J. Clement - 2009 - Topics in Cognitive Science 1 (4):686-710.
    Interest in thought experiments (TEs) derives from the paradox: “How can findings that carry conviction result from a new experiment conducted entirely within the head?” Historical studies have established the importance of TEs in science but have proposed disparate hypotheses concerning the source of knowledge in TEs, ranging from empiricist to rationalist accounts. This article analyzes TEs in think‐aloud protocols of scientifically trained experts to examine more fine‐grained information about their use. Some TEs appear powerful enough to discredit an existing (...)
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  • Model simplification by asymptotic order of magnitude reasoning.Kenneth Man-kam Yip - 1996 - Artificial Intelligence 80 (2):309-348.
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