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  1. El aprendizaje fuera de lugar como una crítica pragmatista de las ciencias cognitivas.Juan Manuel Saharrea - 2022 - Sophia. Colección de Filosofía de la Educación 32:245-273.
    El vínculo entre ciencias cognitivas y filosofía es fructífero y diverso. Sin embargo, son pocas las tentativas filosóficas que examinan el concepto de aprendizaje en su relación con aplicaciones para el campo educativo. El pragmatismo filosófico ofrece un marco teórico sustentable para efectuar esta tarea. Este estudio se plantea como una aproximación al concepto de aprendizaje desde el pragmatismo contemporáneo de Robert Brandom (1994, 2001). Concretamente, analiza este concepto como una instancia de la idea de ‘prácticas sociales’, a partir de (...)
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  • Hinter das Bewusstsein zurück: Implizites Wissen als Ansatzpunkt der Sozialontologie.Stephan Zimmermann - 2020 - Deutsche Zeitschrift für Philosophie 68 (6):848-866.
    The state of recent as well as older research on social ontology suggests a paradigmatic approach, according to which it is our consciousness that must provide the framework for conceptualising the social. I, however, argue that Wittgenstein’s treatment of rule-following opens up a new horizon for the ontology of the social. The fact that the rules of our language are social in nature and that we need not be aware of them in order to follow them shifts the problem to (...)
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  • Sets with Dependent Elements: A Formalization of Castoriadis’ Notion of Magma.Athanassios Tzouvaras - 2024 - Studia Logica 112 (4):735-760.
    We present a formalization of collections that Cornelius Castoriadis calls “magmas”, especially the property which mainly characterizes them and distinguishes them from the usual cantorian sets. It is the property of their elements to _depend_ on other elements, either in a one-way or a two-way manner, so that one cannot occur in a collection without the occurrence of those dependent on it. Such a dependence relation on a set _A_ of atoms (or urelements) can be naturally represented by a pre-order (...)
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  • Exploring the Computational Explanatory Gap.James Reggia, Di-Wei Huang & Garrett Katz - 2017 - Philosophies 2 (1):5.
    While substantial progress has been made in the field known as artificial consciousness, at the present time there is no generally accepted phenomenally conscious machine, nor even a clear route to how one might be produced should we decide to try. Here, we take the position that, from our computer science perspective, a major reason for this is a computational explanatory gap: our inability to understand/explain the implementation of high-level cognitive algorithms in terms of neurocomputational processing. We explain how addressing (...)
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