This paper offers a renewed construction grammar analysis of linguistic constructions in a diachronic perspective. The present theory, termedAgentive Cognitive Construction Grammar(AgCCxG), is informed byactive inference(AIF), a process theory for the comprehension of intelligent agency. AgCCxG defends the idea that language bear traces of non-linguistic, bodily-acquired information that reflects sémiotico-biological processes of energy exchange and conservation. One of the major claims of the paper is that embodied cognition has evolved to facilitate ontogenic mental alignment among humans. This is demonstrated by (...) the results of a corpus study in which the patterns of association between verbs, the particle UP and argument structure in Old and Middle English have been studied. The conclusion is that, similar to biological systems, the linguistic sign system displays patterns of equilibrium and non-equilibrium. In other words, while in Old English usage near equilibrium was reached through the use of a conservative set of constructional semiotic templates (attachment patterns), associated with motor modalities, Middle English displays high rates of randomness resulting in a less stable, yet distinct, system of constructional attachment. (shrink)

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 (...) research, as a promising alternative that integrates sensory input, embodied representations, and adaptive strategies for contextualized analysis and conceptual utility maximization. By incorporating Active Inference, which sees perception as inferring the world's state from sensory data, the findings reveal that the characterization of the English modal _be able to_, as a triadic construction encoding biological intelligent agency, introduces a more plausible theoretical basis for the positing of linguistic constructions. This emphasizes the crucial role of embodied human language models in the comprehension of how humans construct preferred futures through language. (shrink)

The aim of this paper is to explore the connections between semiotics and biology by examining the behaviors of both humans and non-cognizant agents, using Bayesian and heuristic inference. The argument is that higher-level organisms use complex predictive reasoning to deal with uncertainty, while non-cognizant species, such as SARS-CoV-2, rely on an economy-driven heuristic to enter host cells. From this viewpoint, the current pandemic is characterized as a clash of representations resulting from the anthropocentric construction of the self, which neglects (...) the complexities of the natural world. (shrink)