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Leitgeb, Hannes (25. October 2018): Neural Network Models of Conditional. In: Hansson, Sven Ove; Hendricks, Vincent F. (eds.) : Introduction to Formal Philosophy. Springer Undergraduate Texts in Philosophy, Berlin: Springer. pp. 147-176
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Abstract

This chapter explains how artificial neural networks may be used as models for reasoning, conditionals, and conditional logic. It starts with the historical overlap between neural network research and logic, it discusses connectionism as a paradigm in cognitive science that opposes the traditional paradigm of symbolic computationalism, it mentions some recent accounts of how logic and neural networks may be combined, and it ends with a couple of open questions concerning the future of this area of research.