ijimsrInternational Journal of Innovation in Multidisciplinary Scientific ResearchCoVolume -2 | Issue - 2 | 2024MultidisciplinaryEnglishJUNE-AUGNNY20240831Engineering and TechnologyAI!s Theoretical DNA: A Theory of Computation-Inspired ReviewEnglishY5765ShubhamChaurasiaEnglishNShyam ShankarDwivediEnglishYDr. ShubhaJainEnglishYhttps://doi.org/10.61239/IJIMSR.2024.2222The burgeoning field of Artificial Intelligence (AI) is deeply intertwined with the principles of the Theory of Computation (ToC), offering a rich landscape for algorithmic exploration and theoretical inquiry. This research article delves into the intricate relationship between algorithms and AI from a ToC perspective, aiming to uncover fundamental insights that underpin the development and understanding of intelligent systems. Commencing with a foundational overview of ToC principles, including automata theory, computability, and complexity theory, the paper elucidates how these concepts serve as the bedrock for modelling and analysing AI algorithms. Through a comprehensive survey it investigates diverse algorithmic paradigms within AI, encompassing machine learning, optimization, and decision-making. Moreover, the article examines how ToC provides a formal framework for characterizing the computational resources and constraints underlying AI algorithms, thereby shedding light on their theoretical capabilities and limitations.EnglishArtificial Intelligence (AI), Theory of Computation (ToC), Algorithms, Computational Complexityhttps://ijimsr.org/admin/abstract?id=39References1619