A predictive human model of language challenges traditional views in linguistics and pretrained transformer research DOI Creative Commons
Sergio Torres–Martínez

Language and Semiotic Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Abstract This paper introduces a theory of mind that positions language as cognitive tool in its own right for the optimization biological fitness. I argue human reconstruction reality results from memory and adaptation to uncertain environmental conditions reaffirmation Self-as-symbol. demonstrate pretrained models, such ChatGPT, lack embodied grounding, which compromises their ability adequately model world through due absence subjecthood conscious states event recognition partition. At deep level, challenge notion constitution semiotic Self relies on computational reflection , arguing against reducing representation data structures emphasizing importance positing accurate models language. underscores distinction between transformers posthuman agents humans purposeful agents, emphasizes capacity adjustment optimization. One main conclusions this is integrate information does not amount phenomenal consciousness argued by Information Integration Theory . Moreover, while exhibit superior capacity, they real providing them with multiscalar experience anchored physical world, characteristic cognition. However, anticipates emergence new silico conceptualizers capable defining themselves symbolic contours specific goals.

Language: Английский

Semiosic Translation: a Bayesian-heuristic theory of translation and translating DOI Creative Commons
Sergio Torres–Martínez

Language and Semiotic Studies, Journal Year: 2024, Volume and Issue: 10(2), P. 167 - 202

Published: Feb. 29, 2024

Abstract In the context of Semiosic Translation , two elements are essential for a translation to emerge: body–brain–context interface (extended mind) and sign systems making up output. this paper, I explain how renewed view body as Bayesian-heuristic Semiotic Prior helps understand in more holistic manner motivations agentive character translation, defined herein phenomenological grasp world. Central present proposal is idea that bodily self-stabilization (homeostasis) brain-driven correction (allostasis) provide translator-agents with maps action upon world semiotic nature. All occurs thanks information weighing (Bayesian) cue-driven (heuristic) types inference whereby exteroceptive (exogenous) interoceptive (inner-body) signals converge create sense awareness responsible construction symbolic persona (the translator-agent).

Language: Английский

Citations

4
Dehumanizing the human, humanizing the machine: organic consciousness as a hallmark of the persistence of the human against the backdrop of artificial intelligence DOI
Sergio Torres–Martínez

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

0
Agentive Cognitive Construction Grammar: a predictive semiotic theory of mind and language DOI Creative Commons
Sergio Torres–Martínez

Semiotica, Journal Year: 2024, Volume and Issue: 2024(257), P. 141 - 175

Published: Jan. 24, 2024

Abstract This paper introduces a novel perspective on Agentive Cognitive Construction Grammar (AgCCxG) by examining the intricate interplay between mind and language through lens of both Active Inference Peircean semiotics. AgCCxG emphasizes impact intention purpose linguistic choices as cognitive imperative to balance symbolic Self (Intelligent Agent) with dynamics environment. Among other things, posits that constructions, particularly Constructional Attachment Patterns (CAPs), like argument structure embody experienced interactions world reenactment routines via integration multisensory channels. Unlike traditional usage-based approaches (e.g., construction grammars), embraces robust theory signs reveals human representation continuous process semiotic hybridization for creative prediction uncertain scenarios. Importantly, challenges notion unified, rational, uncertainty-reducing machine asserting physical processes governing open biological systems profoundly influence sign system. Intelligent agents’ adaptability in expressing incongruous realities thus highlights role preserving an agent’s autonomy boundary.

Language: Английский

Citations

3
An Integrated Bayesian-Heuristic Semiotic Model for Understanding Human and SARS-CoV-2 Representational Structures DOI
Sergio Torres–Martínez

Biosemiotics, Journal Year: 2023, Volume and Issue: 16(3), P. 415 - 439

Published: Nov. 13, 2023

Language: Английский

Citations

4
A predictive human model of language challenges traditional views in linguistics and pretrained transformer research DOI Creative Commons
Sergio Torres–Martínez

Language and Semiotic Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Abstract This paper introduces a theory of mind that positions language as cognitive tool in its own right for the optimization biological fitness. I argue human reconstruction reality results from memory and adaptation to uncertain environmental conditions reaffirmation Self-as-symbol. demonstrate pretrained models, such ChatGPT, lack embodied grounding, which compromises their ability adequately model world through due absence subjecthood conscious states event recognition partition. At deep level, challenge notion constitution semiotic Self relies on computational reflection , arguing against reducing representation data structures emphasizing importance positing accurate models language. underscores distinction between transformers posthuman agents humans purposeful agents, emphasizes capacity adjustment optimization. One main conclusions this is integrate information does not amount phenomenal consciousness argued by Information Integration Theory . Moreover, while exhibit superior capacity, they real providing them with multiscalar experience anchored physical world, characteristic cognition. However, anticipates emergence new silico conceptualizers capable defining themselves symbolic contours specific goals.

Language: Английский

Citations

1