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Computational Mechanisms and Models of Computation

Marcin Miłkowski

Philosophia Scientiae 18:215-228 (2014)

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Poznanie rozproszone. Potencjał koncepcji a kondycja kognitywistyki.Witold Wachowski - 2024 - Studia Philosophiae Christianae 60 (1):15-41.details Artykuł ten ma celu zaakcentowanie i uzupełnienie wybranych wątków książki Witolda Wachowskiego Poznanie rozproszone. Od heurystyk do mechanizmów (2022). W tekście uwzględniono aktualną sytuację, w jakiej znajdują się nauki poznawcze, z perspektywy koncepcji poznania rozproszonego i związanych z nią badań. Podczas gdy książka koncentruje się bardziej na strukturze tej koncepcji i jej osadzeniu w tradycjach badawczych, w artykule nacisk kładzie się na przedstawienie wciąż niedocenianego potencjału poznania rozproszonego jako uniwersalnego rozumienia poznania, faktycznych konsekwencji badawczych tej perspektywy, przy jednoczesnym doprecyzowaniu relacji (...) Download Export citation Bookmark
Explanatory completeness and idealization in large brain simulations: a mechanistic perspective.Marcin Miłkowski - 2016 - Synthese 193 (5):1457-1478.details The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...) Download Export citation Bookmark 17 citations
Computers as Interactive Machines: Can We Build an Explanatory Abstraction?Alice Martin, Mathieu Magnaudet & Stéphane Conversy - 2023 - Minds and Machines 33 (1):83-112.details In this paper, we address the question of what current computers are from the point of view of human-computer interaction. In the early days of computing, the Turing machine (TM) has been the cornerstone of the understanding of computers. The TM defines what can be computed and how computation can be carried out. However, in the last decades, computers have evolved and increasingly become interactive systems, reacting in real-time to external events in an ongoing loop. We argue that the TM (...) Download Export citation Bookmark
Computation and Multiple Realizability.Marcin Miłkowski - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 29-41.details Multiple realizability (MR) is traditionally conceived of as the feature of computational systems, and has been used to argue for irreducibility of higher-level theories. I will show that there are several ways a computational system may be seen to display MR. These ways correspond to (at least) five ways one can conceive of the function of the physical computational system. However, they do not match common intuitions about MR. I show that MR is deeply interest-related, and for this reason, difficult (...) Download Export citation Bookmark 2 citations

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