Authors :
Harshit Gupta
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/txdsvuze
Scribd :
https://tinyurl.com/27rfy69a
DOI :
https://doi.org/10.38124/ijisrt/25oct973
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This report represents an integrated, extended (≈40,000-word) exposition of the VerbaTerra Project — an
interdisciplinary study exploring language as a cultural algorithm. It combines cultural linguistics, computational
anthropology, and heuristic modelling through the vSION Engine. The research quantifies how cultural structures (ritual,
trade, symbolism, hierarchy) shape linguistic complexity, cognition, and resilience. It establishes that language and culture
form a recursive adaptive system — a living computation of meaning. AI-assisted computation was used for simulation and
validation, but all theoretical formulations and causal logic were developed independently by the author.
Keywords :
Cultural Computation, Linguistic Simulation, vSION Engine, ICLHF, CALR, Everettian Framework, AI-Assisted Modelling.
References :
- Boas, F. (1911). Handbook of American Indian languages. Washington, DC: Government Printing Office.
- Boyd, R., & Richerson, P. J. (2005). The origin and evolution of cultures. Oxford University Press.
- Bybee, J. (2010). Language, usage, and cognition. Cambridge University Press.
- Chomsky, N. (1965). Aspects of the theory of syntax. MIT Press.
- Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19.
- Deacon, T. W. (1997). The symbolic species: The co-evolution of language and the brain. W. W. Norton.
- Everett, D. L. (2005). Cultural constraints on grammar and cognition in Pirahã. Current Anthropology, 46(4), 621–646.
- Everett, D. L. (2017). How language began: The story of humanity’s greatest invention. Liveright.
- Henrich, J. (2016). The secret of our success. Princeton University Press.
- Krishnamurti, B. (2003). The Dravidian languages. Cambridge University Press.
- Larsen-Freeman, D. (1997). Chaos/complexity science and second language acquisition. Applied Linguistics, 18(2), 141–165.
- Malinowski, B. (1935). Coral gardens and their magic. Allen & Unwin.
- Parpola, A. (1994). Deciphering the Indus script. Cambridge University Press.
- Saussure, F. de. (1916). Course in general linguistics. Payot.
- Tomasello, M. (2008). Origins of human communication. MIT Press.
- Witzel, M. (1999). Substrate languages in Old Indo-Aryan. Electronic Journal of Vedic Studies, 5(1), 1–67.
- Zvelebil, K. (1992). Companion studies to the history of Tamil literature. Brill.
This report represents an integrated, extended (≈40,000-word) exposition of the VerbaTerra Project — an
interdisciplinary study exploring language as a cultural algorithm. It combines cultural linguistics, computational
anthropology, and heuristic modelling through the vSION Engine. The research quantifies how cultural structures (ritual,
trade, symbolism, hierarchy) shape linguistic complexity, cognition, and resilience. It establishes that language and culture
form a recursive adaptive system — a living computation of meaning. AI-assisted computation was used for simulation and
validation, but all theoretical formulations and causal logic were developed independently by the author.
Keywords :
Cultural Computation, Linguistic Simulation, vSION Engine, ICLHF, CALR, Everettian Framework, AI-Assisted Modelling.