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Explaining the Computational Mind
In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational -- whether it engages in mental arithmetic, parses natural language, or
Developing an open‐source, rule‐based proofreading tool
The described solution depends on relatively easily available language resources and does not require a fully formalized grammar nor a deep parser, yet it can detect many frequent context‐dependent spelling mistakes, as well as grammatical, punctuation, usage, and stylistic errors.
Structural representations: causally relevant and different from detectors
It is shown how S-representations may be causally relevant and argued that they are distinct from mere detectors, showing that—contrary to claims made in the literature—there is an important theoretical distinction to be drawn between the two.
PoliMorf: a (not so) new open morphological dictionary for Polish
This paper presents preliminary results of an effort aiming at the creation of a morphological dictionary of Polish, PoliMorf, available under a very liberal BSD-style license. The dictionary is a
Unification Strategies in Cognitive Science
Abstract Cognitive science is an interdisciplinary conglomerate of various research fields and disciplines, which increases the risk of fragmentation of cognitive theories. However, while most
Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail
It is claimed that low model reproducibility poses more of a threat to long-term scientific progress than low model replicability and reports of computational studies should remain selective and include all and only relevant bits of code.
Explanatory completeness and idealization in large brain simulations: a mechanistic perspective
It is argued that idealizations, which include building models of a single phenomenon displayed by multi-functional mechanisms, lumping together multiple factors in a single causal variable, simplifying the causal structure of the mechanisms, and multi-model integration, are indispensable for complex systems such as brains; otherwise, the model may be as complex as the explanandum phenomenon, which would make it prone to so-called Bonini paradox.
A Mechanistic Account of Computational Explanation in Cognitive Science
The current chapter offers a systematic account of computational explanation in cognitive science and computational neuroscience within a mechanistic framework and illustrated with a short case study of modeling of the mirror neuron system in terms of predictive coding.
Unification by Fiat: Arrested Development of Predictive Processing
It is argued that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory and is urged to focus on its critical problems instead of offering mere re‐descriptions of known phenomena.
The Hard Problem Of Content: Solved (Long Ago)
Abstract In this paper, I argue that even if the Hard Problem of Content, as identified by Hutto and Myin, is important, it was already solved in naturalized semantics, and satisfactory solutions to