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This volume celebrates the work of Hans-Johann Glock, a philosopher renowned for both his exegesis of Wittgenstein and his many contributions to debates in contemporary philosophy. The chapters discuss Wittgenstein's philosophy, metaphilosophy, truth and language, animal minds and agency, and reasons and normativity.

Produktbeschreibung
This volume celebrates the work of Hans-Johann Glock, a philosopher renowned for both his exegesis of Wittgenstein and his many contributions to debates in contemporary philosophy. The chapters discuss Wittgenstein's philosophy, metaphilosophy, truth and language, animal minds and agency, and reasons and normativity.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Christoph C. Pfisterer is a postdoctoral teaching and research assistant at the University of Zurich. He works on various topics of early analytic philosophy, as well as on contemporary philosophy of perception. He has recently published on Wittgenstein and Frege, and is currently completing a book manuscript on the language of perception. Nicole Rathgeb is a postdoctoral researcher at the University of Bern and Visiting Research Fellow at the University of Hertfordshire. Her main research interests are in the philosophy of mind (belief, self-knowledge, and first-person authority) and philosophical methodology (conceptual analysis, conceptual engineering, ordinary language philosophy). She is currently co-editing the Metzler Handbook of Philosophy of Mind and writing a book on conceptual analysis. Eva Schmidt is Assistant Professor of Theoretical Philosophy at TU Dortmund. She works on epistemic reasons and reasons for action, explainable artificial intelligence, and perception. She is the author of Modest Nonconceptualism: Epistemology, Phenomenology, and Content (Springer, 2015); "Where Reasons and Reasoning Come Apart" (2021); and a co-author of "From Responsibility to Reason-Giving Explainable Artificial Intelligence" (2022).