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the neurosymbolic nature of Conceptual Spaces

Conceptual spaces share similarity with neural embeddings because they are both differentiable and convex. At the same time, concepts incorporate symbolism with their multi-facets domains. They naturally enable semantic algebra and computational problem solving.



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the neurosymbolic nature of Conceptual Spaces

https://gfrison.com/2023/08/04/conceptual-spaces-neuro-symbolic

Conceptual spaces share similarity with neural embeddings because they are both differentiable and convex. At the same time, concepts incorporate symbolism with their multi-facets domains. They naturally enable semantic algebra and computational problem solving.



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https://gfrison.com/2023/08/04/conceptual-spaces-neuro-symbolic

the neurosymbolic nature of Conceptual Spaces

Conceptual spaces share similarity with neural embeddings because they are both differentiable and convex. At the same time, concepts incorporate symbolism with their multi-facets domains. They naturally enable semantic algebra and computational problem solving.

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      Conceptual spaces share similarity with neural embeddings because they are both differentiable and convex. At the same time, concepts incorporate symbolism with their multi-facets domains. They naturally enable semantic algebra and computational problem solving.
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      Giancarlo Frison
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      Giancarlo Frison
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      the neurosymbolic nature of Conceptual Spaces
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      “This is the promise of the Semantic Web – it will improve all the areas of your life where you currently use syllogisms. Which is to say, almost nowhere.” —Clay Shirky
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