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Modelling Abduction in Science by means of a Modal Adaptive Logic
Scientists confronted with multiple explanatory hypotheses as a result of their abductive inferences, generally want to reason further on the different hypotheses one by one. This paper presents aExpand
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Abduction of Generalizations
Abduction of generalizations is the process in which explanatory hypotheses are formed for generalizations such as "pineapples taste sweet" or "rainbows appear when the sun breaks through the rain".Expand
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Pauli’s Idea of the Neutrino: How Models in Physics Allow to Revive Old Ideas for New Purposes
Models have proven themselves to be the key catalyst of many new ideas in science. However, it is not yet fully clarified why models can fulfill such an important heuristic role. The two main reasonsExpand
An adaptive logic based approach to abduction in AI
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On Theoretical and Practical Doxastic Attitudes
In the literature on doxastic attitudes, the notion ‘belief’ is used in both a coarse-grained and a fine-grained manner. While the coarse-grained notion of ‘belief,’ as the doxastic attitude thatExpand
Modeling hypothetical reasoning by formal logics
TLDR
In this chapter, it is discussed to which extent hypothetical reasoning can be modeled by formal logics. Expand
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On the Relation Between Models and Hypotheses and the Role of Heuristic Hypotheses in the Construction of Scientific Models
In our understanding of model-based scientific practice, it has become unclear what the role of hypotheses is. Many take mo- dels and hypotheses to be more or less on the same footing; others takeExpand
The problem of multiple explanatory hypotheses
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To envision a new particle or change an existing law? Hypothesis formation and anomaly resolution for the curious case of the β decay spectrum
Abstract This paper addresses the question of how scientists determine which type of hypothesis is most suitable for tackling a particular problem by examining the historical case of the anomalous βExpand
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