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Titlebook: Qualitative Reasoning; Modeling and the Gen Hannes Werthner Book 1994 Springer-Verlag Wien 1994 artificial intelligence.classification.expe

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The Basics of Qualitative Reasoning,mapping a quantitative model onto a qualitative one. Additionally, we provide a first classification of these methods. We separate the description of the modeling perspectives of the respective approaches in the next chapter from the detailed discussion of their specific reasoning techniques in chap
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Modeling in Qualitative Reasoning,NEWTON and its application to the roller coaster problem [de Kleer 77]. Thus, this part leads back to one of the initial objectives, i.e. how to build and how to select a proper model. However, the task of modeling is not specific to qualitative reasoning, it is fundamental in every scientific work.
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Conclusion and Suggestions for Further Research,as human reasoning mechanisms. Since AI — as stated by [Newell 90] — provides a theoretical infrastructure for the study of human cognition, we may also conclude that qualitative reasoning aims at establishing a cognitive theory of “non-numerical” process description and at automating the phase of m
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https://doi.org/10.1007/978-3-7091-6624-6artificial intelligence; classification; expert system; fuzzy; fuzzy set; information; intelligence; model;
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Advanced Topics,This part deals with topics such as causality, ambiguity and uncertainty, which were mentioned shortly in the previous chapters. Additionally, several approaches will be discussed which explicitly deal with these topics and, to some extent, manage to avoid the limitation of ambiguity.
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Qualitative Reasoning and Related Fields,oreover, we will also take a short look at cognitive science. This comparison will uncover several correspondences with these fields and support further distinction between the different approaches in qualitative reasoning. Since we are concentrating on dynamic systems, we will not discuss other related fields such as spatial reasoning.
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