Bert Baumgaertner University of California, Davis
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About me
My research looks at phenomena that can be understood as the result of processes unfolding over time. I'm interested in the foundations of cognitive science and the theory of computation. I also do work in social epistemology.
My works
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  1. Bert Baumgaertner (2014). Yes, No, Maybe So: A Veritistic Approach to Echo Chambers Using a Trichotomous Belief Model. Synthese 191 (11):2549-2569.
    I approach the study of echo chambers from the perspective of veritistic social epistemology. A trichotomous belief model is developed featuring a mechanism by which agents will have a tendency to form agreement in the community. The model is implemented as an agent-based model in NetLogo and then used to investigate a social practice called Impartiality, which is a plausible means for resisting or dismantling echo chambers. The implementation exposes additional factors that need close consideration in an evaluation of Impartiality. (...)
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  2. Bert Baumgaertner (2013). Smooth Yet Discrete: Modeling Both Non-Transitivity and the Smoothness of Graded Categories With Discrete Classification Rules. [REVIEW] Minds and Machines:1-18.
    Many of our categorization experiences are non-transitive. For some objects a, b and c, a and b can appear indistinguishable, and likewise b and c, but a and c can appear distinguishable. Many categories also appear to be smooth; transitions between cases are not experienced as sharp, but rather as continuous. These two features of our categorization experiences tend to be addressed separately. Moreover, many views model smoothness by making use of infinite degrees. This paper presents a methodological strategy that (...)
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  3. Bert Baumgaertner (2012). Vagueness Intuitions and the Mobility of Cognitive Sortals. Minds and Machines 22 (3):213-234.
    One feature of vague predicates is that, as far as appearances go, they lack sharp application boundaries. I argue that we would not be able to locate boundaries even if vague predicates had sharp boundaries. I do so by developing an idealized cognitive model of a categorization faculty which has mobile and dynamic sortals (`classes', `concepts' or `categories') and formally prove that the degree of precision with which boundaries of such sortals can be located is inversely constrained by their flexibility. (...)
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