artificial-intelligence

  • Summary of Research (2010-2024)

    In this post, I wanted to outline and compress all of my academic research into a streamlined format. My research has focused mostly on compositionality in formal systems, neural systems, and artificial systems, with common themes being the nature, acquisition, evolution, and implementation of higher-order structure-building in the human mind/brain. In 2024, I developed a

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  • New paper exploring how to build principled, causal connections between symbolic phase codes for syntax and probabilistic/connectionist mechanisms. Natural language syntax can serve as a major test for how to integrate two infamously distinct frameworks: symbolic representations and connectionist neural networks. Building on a recent neurocomputational architecture for syntax (ROSE), I discuss the prospects of

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