An Integrated Bayesian-Heuristic Semiotic Model for Understanding Human and SARS-CoV-2 Representational Structures

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

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An Integrated Bayesian-Heuristic Semiotic Model for Understanding Human and SARS-CoV-2 Representational Structures

Cited by 4 publications

References 52 publications

Embodied human language models vs. Large Language Models, or why Artificial Intelligence cannot explain the modal be able to

Embodied human language models vs. Large Language Models, or why Artificial Intelligence cannot explain the modal be able to

Embodied essentialism in the reconstruction of the animal sign in robot animal design

Semiosic Translation: a Bayesian-heuristic theory of translation and translating

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