@phdthesis {PhD_Tjerk,
	title = {Patterns of Hypothesis Formation},
	year = {2014},
	month = {March 31},
	publisher = {Ghent University},
	type = {phd},
	author = {Gauderis, Tjerk}
}
@incollection {3178949,
	title = {Pauli{\textquoteright}s idea of the neutrino: how models in physics allow to revive old ideas for new purposes},
	booktitle = {Model-based reasoning in science and technology : theoretical and cognitive issues},
	year = {2013},
	pages = {449-461},
	publisher = {Springer},
	abstract = {<p>Abstract 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 reasons stated in the literaturethe mental simulation of various scenarios and the wide cross-fertilization across various disciplinesseem to leave out one of the most obvious features of models: they are designed for a purpose. Therefore I investigated why, while the construction of models is a goal-oriented task with a predefined purpose, the use of models yields so many new ideas in science. This paper presents my conceptual analysis together with a detailed historical case study. The functional design of models forces scientists to explore vigorously older ideas to adapt them: as the lacunas in a functional model are also functional, scientists need to modify older ideas (that were formulated for different purposes) to fit the present functional gaps in their models. As such, they construct new ideas. The detailed historical case study exemplifies this by showing how Paulis original suggestion of the neutrino was, in fact, such an adaptation of Rutherfords earlier idea of the neutron. The present analysis and case study suggest that functional adaptations are salient but often overlooked features of model based investigation.</p>},
	author = {Gauderis, Tjerk},
	editor = {Magnani, Lorenzo}
}
@proceedings {3178954,
	title = {The problem of multiple explanatory hypotheses},
	journal = {PhDs in Logic III},
	year = {2012},
	pages = {45-53},
	publisher = {College Publications},
	abstract = {<p>In abduction  the process of finding explanatory hypotheses for puzzling phenomena  one is often confronted with multiple explanatory hypotheses. In science one generally wants to test further the different hypotheses one by one. But, if we try to model this in a logic and make it possible to derive the differen t hypotheses apart from each other, we generally can derive their conjunction too. An elegant solution within the framework of adaptive logics is provided in Gauderis (2011). But this approach is not restricted to science. While it is true that a lot of cases in everyday reasoning require a more practical approach  in which one acts on the knowledge that all the different hypotheses might be the case  there are also a considerable amount of situations in which the more theoretical approach of the scientist is needed. In this paper we try to illustrate this by using this logic to model reasoning within detective literature.</p>},
	author = {Gauderis, Tjerk},
	editor = {Demey, Lorenz and Devuyst, Jonas}
}
