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How a neural net grows symbols

In Peter Bartlett (ed.), Proceedings of the Seventh Australian Conference on Neural Networks, Canberra. ACNN '96. pp. 91-96 (1996)

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  1. A Causal-Mentalist View of Propositions.Jeremiah Joven Joaquin & James Franklin - 2022 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 29 (1):47-77.
    In order to fulfil their essential roles as the bearers of truth and the relata of logical relations, propositions must be public and shareable. That requirement has favoured Platonist and other nonmental views of them, despite the well-known problems of Platonism in general. Views that propositions are mental entities have correspondingly fallen out of favour, as they have difficulty in explaining how propositions could have shareable, objective properties. We revive a mentalist view of propositions, inspired by Artificial Intelligence work on (...)
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  • Symbolic connectionism in natural language disambiguation.James Franklin & S. W. K. Chan - 1998 - IEEE Transactions on Neural Networks 9:739-755.
    Uses connectionism (neural networks) to extract the "gist" of a story in order to represent a context going forward for the disambiguation of incoming words as a text is processed.
     
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