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  1. Embodied human language models vs. Large Language Models, or why Artificial Intelligence cannot explain the modal be able to.Sergio Torres-Martínez - 2024 - Biosemiotics 17 (1):185-209.
    This paper explores the challenges posed by the rapid advancement of artificial intelligence specifically Large Language Models (LLMs). I show that traditional linguistic theories and corpus studies are being outpaced by LLMs’ computational sophistication and low perplexity levels. In order to address these challenges, I suggest a focus on language as a cognitive tool shaped by embodied-environmental imperatives in the context of Agentive Cognitive Construction Grammar. To that end, I introduce an Embodied Human Language Model (EHLM), inspired by Active Inference (...)
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  • Agentive Cognitive Construction Grammar: a predictive semiotic theory of mind and language.Sergio Torres-Martínez - 2024 - Semiotica 2024 (257):141-175.
    This paper introduces a novel perspective on Agentive Cognitive Construction Grammar (AgCCxG) by examining the intricate interplay between mind and language through the lens of both Active Inference and Peircean semiotics. AgCCxG emphasizes the impact of intention and purpose on linguistic choices as a cognitive imperative to balance the symbolic Self (Intelligent Agent) with the dynamics of the environment. Among other things, the paper posits that linguistic constructions, particularly Constructional Attachment Patterns (CAPs), like argument structure constructions, embody experienced interactions with (...)
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