Sanskrit and Artificial Intelligence: Insights from Indian Traditional Knowledge Systems
Author : Dr. Raghavendra Bhat
Abstract :
Artificial Intelligence (AI) has emerged as the defining technology of the 21st century, shaping global paradigms of cognition, reasoning, and language. However, few realize that the conceptual underpinnings of AI—rule-based learning, symbolic logic, semantic disambiguation, and ontology construction—find deep resonance within Indian traditional knowledge systems (ITK). Sanskrit, the classical language of Indian civilization, embodies a highly formalized and generative linguistic architecture, meticulously designed by grammarians like Pāṇini. Alongside, philosophical schools such as Nyāya, Vaiśeṣika, and Mīmāṃsā developed intricate theories of inference, cognition, and verbal comprehension that parallel AI’s epistemological foundations. This paper explores Sanskrit’s structural precision and Indian epistemology’s cognitive insights as potential frameworks for next-generation AI systems rooted in interpretability, ethics, and consciousness.
Keywords :
Sanskrit, Artificial Intelligence, Pāṇinian Grammar, Nyāya Logic, Indian Knowledge Systems, Ontology, Computational Linguistics, Consciousness Studies.
