Argumenta – Journal of Analytic Philosophy


Literature and Practical Knowledge

Issue: Issue 03 • Author/s: Pascal Engel
Topics: Aesthetics, Meta-Philosophy, Theoretical philosophy

This article defends literary cognitivism, the view that literature can convey genuine propositional knowledge, in the form of propositions which are (i) true (ii) justified and (iii) have aesthetic value because they convey such knowledge. I reply to familiar objections to this view, and reformulate it as the thesis that literary knowledge is a form practical knowledge that is only derivatively propositional. I attempt to apply some ideas to be found in Stanley’s and Williamson’s conception of knowing how. Literary knowledge is a kind of practical knowing how of propositions…

Learning through the Scientific Imagination [Special Issue]

Issue: Issue 11 • Author/s: Fiora Salis
Topics: Epistemology, Metaphysics, Ontology, Philosophy of science

Theoretical models are widely held as sources of knowledge of reality. Imagination is vital to their development and to the generation of plausible hypotheses about reality. But how can imagination, which is typically held to be completely free, effectively instruct us about reality? In this paper I argue that the key to answering this question is in constrained uses of imagination. More specifically, I identify make-believe as the right notion of imagination at work in modelling. I propose the first overarching taxonomy of types of constraints on scientific imagination that…

One or Two Puzzles about Knowledge, Probability and Conditionals [Special Issue]

Issue: Issue 12 • Author/s: Moritz Schulz
Topics: Epistemology, Metaphysics, Philosophical logic, Philosophy of science

Rothschild and Spectre (2018b) present a puzzle about knowledge, probability and conditionals. This paper analyzes the puzzle and argues that it is essentially two puzzles in one: a puzzle about knowledge and probability and a puzzle about probability and conditionals. As these two puzzles share a crucial feature, this paper ends with a discussion of the prospects of solving them in a unified way.