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  1. Neither neural networks nor the language-of-thought alone make a complete game.Iris Oved, Nikhil Krishnaswamy, James Pustejovsky & Joshua K. Hartshorne - 2023 - Behavioral and Brain Sciences 46:e285.
    Cognitive science has evolved since early disputes between radical empiricism and radical nativism. The authors are reacting to the revival of radical empiricism spurred by recent successes in deep neural network (NN) models. We agree that language-like mental representations (language-of-thoughts [LoTs]) are part of the best game in town, but they cannot be understood independent of the other players.
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  • The essence of mentalistic agents.Shaun Nichols - 2017 - Synthese 194 (3):809-825.
    Over the last several decades, there has been a wealth of illuminating work on processes implicated in social cognition. Much less has been done in articulating how we learn the contours of particular concepts deployed in social cognition, like the concept MENTALISTIC AGENT. Recent developments in learning theory afford new tools for approaching these questions. In this article, I describe some rudimentary ways in which learning theoretic considerations can illuminate philosophically important aspects of the MENTALISTIC AGENT concept. I maintain that (...)
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