Corina Strößner
Biographic Data
| ID | 5996596 |
|---|---|
| NAME | Corina Strößner |
| GIVEN NAMES | Corina |
| FAMILY NAME | Strößner |
| SIGNATURE | STRÖßNER C |
| AFFILIATIONS | Ruhr University Bochum |
| ORCID | 0000-0001-9464-5114 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Against the elimination of similarity
Similarity has been considered a problematic concept – too vague, too flexible, and too context-dependent to be of much use for philosophical purposes. These criticisms by analytic philosophers, most prominently Goodman, have impacted philosophy and cognitive science, leading to the impression that for similarity to be useful, it needs to be explained or defined in terms of more precise notions. This paper argues that such an endeavor is doomed t…
Learning from conditional probabilities
Bayesianism, that is, the formal capturing of belief in terms of probabilities, has had a major impact in cognitive science. Decades of research have examined lay reasoners' learning and reasoning with probabilities. The bulk of that research has concerned the response to new evidence. That response will depend on the conditional probabilities a reasoner assumes, yet little research has addressed the question of how reasoners respond when they ar…
Natural concepts
Conceptual spaces are a frequently applied framework for analysing natural concepts. This paper explores the extent to which this analysis of natural concepts involves an interplay between descriptive and normative aspects—comparable to the way Bayesian cognitive science intertwines normative and descriptive elements in learning, reasoning, and argumentation. I argue that, although the two frameworks differ significantly in their general assumpti…
Conceptual Learning and Local Incommensurability
In recent decades, the logical study of rational belief dynamics has played an increasingly important role in philosophy. However, the dynamics of concepts such as conceptual learning received comparatively little attention within this debate. This is problematic insofar as the occurrence of conceptual change (especially in the sciences) has been an influential argument against a merely logical analysis of beliefs. Especially Kuhn’s ideas about t…
Criteria for naturalness in conceptual spaces
Conceptual spaces are a frequently applied framework for representing concepts. One of its central aims is to find criteria for what makes a concept natural. A prominent demand is that natural concepts cover convex regions in conceptual spaces. The first aim of this paper is to analyse the convexity thesis and the arguments that have been advanced in its favour or against it. Based on this, I argue that most supporting arguments focus on single-d…
Compositionality Meets Belief Revision
The principle of compositionality claims that the content of a complex concept is determined by its constituent concepts and the way in which they are composed. However, for prototype concepts this principle is often too rigid. Blurring the division between conceptual composition and belief update has therefore been suggested (Hampton and Jönsson 2012). Inspired by this idea, we develop a normative account of how belief revision and meaning compo…
The Normative Force of Logical and Probabilistic Reasoning in Improving Beliefs
There is a deep tension between logical and probabilistic norms of belief. This article illustrates the normative force that is associated with these frameworks by showing how rather unrestricted belief bases can be improved by undergoing logical and probabilistic reflection. It is argued that probabilistic reasoning accounts for the reliability of the conclusions one can draw from the beliefs. Most importantly, reliability commands us to care fo…
Criteria for naturalness in conceptual spaces
Conceptual spaces are a frequently applied framework for representing concepts. One of its central aims is to find criteria for what makes a concept natural. A prominent demand is that natural concepts cover convex regions in conceptual spaces. The first aim of this paper is to analyse the convexity thesis and the arguments that have been advanced in its favour or against it. Based on this, I argue that most supporting arguments focus on single-d…
The Normative Force of Logical and Probabilistic Reasoning in Improving Beliefs
There is a deep tension between logical and probabilistic norms of belief. This article illustrates the normative force that is associated with these frameworks by showing how rather unrestricted belief bases can be improved by undergoing logical and probabilistic reflection. It is argued that probabilistic reasoning accounts for the reliability of the conclusions one can draw from the beliefs. Most importantly, reliability commands us to care fo…
Compositionality Meets Belief Revision
The principle of compositionality claims that the content of a complex concept is determined by its constituent concepts and the way in which they are composed. However, for prototype concepts this principle is often too rigid. Blurring the division between conceptual composition and belief update has therefore been suggested (Hampton and Jönsson 2012). Inspired by this idea, we develop a normative account of how belief revision and meaning compo…
Conceptual Learning and Local Incommensurability
In recent decades, the logical study of rational belief dynamics has played an increasingly important role in philosophy. However, the dynamics of concepts such as conceptual learning received comparatively little attention within this debate. This is problematic insofar as the occurrence of conceptual change (especially in the sciences) has been an influential argument against a merely logical analysis of beliefs. Especially Kuhn’s ideas about t…
Criteria for naturalness in conceptual spaces
Conceptual spaces are a frequently applied framework for representing concepts. One of its central aims is to find criteria for what makes a concept natural. A prominent demand is that natural concepts cover convex regions in conceptual spaces. The first aim of this paper is to analyse the convexity thesis and the arguments that have been advanced in its favour or against it. Based on this, I argue that most supporting arguments focus on single-d…
Learning from conditional probabilities
Bayesianism, that is, the formal capturing of belief in terms of probabilities, has had a major impact in cognitive science. Decades of research have examined lay reasoners' learning and reasoning with probabilities. The bulk of that research has concerned the response to new evidence. That response will depend on the conditional probabilities a reasoner assumes, yet little research has addressed the question of how reasoners respond when they ar…
Natural concepts
Conceptual spaces are a frequently applied framework for analysing natural concepts. This paper explores the extent to which this analysis of natural concepts involves an interplay between descriptive and normative aspects—comparable to the way Bayesian cognitive science intertwines normative and descriptive elements in learning, reasoning, and argumentation. I argue that, although the two frameworks differ significantly in their general assumpti…
Against the elimination of similarity
Similarity has been considered a problematic concept – too vague, too flexible, and too context-dependent to be of much use for philosophical purposes. These criticisms by analytic philosophers, most prominently Goodman, have impacted philosophy and cognitive science, leading to the impression that for similarity to be useful, it needs to be explained or defined in terms of more precise notions. This paper argues that such an endeavor is doomed t…
Computer Science (4 works) · Epistemology (4 works) · Logic, Reasoning, and Knowledge (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Bayesian Modeling and Causal Inference (3 works) · Cognitive science (3 works) · Normative (3 works) · Philosophy (3 works) · Artificial Intelligence (2 works)