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Truth and Proof in the Long Run Essays on Trial-and-Error Logics Martin Kaså Department of Philosophy, Linguistics and Theory of Science

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Truth and Proof in the Long Run

Essays on Trial-and-Error Logics

Martin Kaså

Department of Philosophy, Linguistics and Theory of Science

Academic dissertation in theoretical philosophy, submitted for the Degree of Doctor of Philosophy, to be publicly defended, by due permission of the dean of the Faculty of Arts at the University of Gothenburg, on April 7, 2017, at 1 p.m., in T302, Olof Wijks- gatan 6, Gothenburg.

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Title: Truth and Proof in the Long Run. Essays on Trial-and-Error Logics Author: Martin Kaså

Language: English

Department: Philosophy, Linguistics and Theory of Science Series: Acta Philosophica Gothoburgensia 29

ISBN: 978-91-7346-903-6 (print) ISBN: 978-91-7346-904-4 (digital) ISSN: 0283-2380

Keywords: convergence, dynamic meaning, experimental logics, knowable consistency, tableaux systems, trial-and-error

The theme of this book is convergence. For many philosophical representa- tions of the evolution of theories, as well as representations of the meaning of the language used to express these theories, it has been essential that there exists some kind of convergence. This thesis introduces and collects four papers in philosophical logic pertaining to two different aspects of this basic tenet. On one hand, we have theories, their axioms and their rules of inference. We often have reason to revise a theory over time, to delete some axioms, add some new ones, or perhaps even revise our modes of rea- soning. A simple model of such activity, providing a definition of what it may mean that something is provable in the long run in such a dynamic setting, is here investigated, and its relevance for the philosophical discus- sion about mechanism and knowable self-consistency is evaluated. On the other hand, the notion of a convergent concept, a term which, for whatever reason, has a certain tendency to its application over time, gets a precise ex- plication in terms of trial-and-error classifiers. Formal languages, based on these classifiers, are introduced with semantics and proof systems, and are explored using standard logical methods.

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