الگوریتم جهان: نگاهی جدید به هوش مصنوعی شناختی

Author’s Note Introduction Learning from the restrictions around us Looking for cracks in façade of the created world Why do I think the Sanskrit literature should be correct in its explanation? Chapter 2: Why does our AI seem fake? The limitations of AI learning algorithms What are we missing? Learning a logic in a data rather than learning a skill Rigid, digital data representation Missing continuity in the algorithms Accurate computations is a necessity What do we need to create an AI that does not seem fake? Chapter 3: Guiding principles of the algorithm The starting point (The Brahman) Effective data representation Inherent states of data The indeterminate state before data (OM) The active state of data (devA or Energy) The dormant state of data (tamas) Data as primary driver of algorithm The presence of a highly efficient, continuous, real-time foundation method The compose-decompose philosophy Fundamental architectural components Equilibrium as a abstract recursive goal Chapter 4: The algorithm of the internals of working of reality Starting at a dopant A generic random data traversal technique The controllable active-inactive cycle Learning methodology Learning with work intent The work intent cycle Primary energy with capability to recognize change (Mahadeva and Shakti) Logic to form a creator (Saraswati and Brahma) Resources to establish equilibrium (Lakshmi and Vishnu) Forces of accumulation The progress of cycles (shAnti) The work cycle (Exploding the controlled part) Vijnanam or coherent set of knowledge Data persistence and the promise of a pattern (smara and pramANA) The moving apex, the path and the quality of direction The pattern, interference and work Extension and expansion Tying it all together into an algorithm A highly efficient real-time search algorithm Chapter 5: How does this translate into this reality around us? Appearances and actuals What is cognition or awareness? What is an individual? The fifth dimension Impact of actions in the rendering on the work intent Evolving beyond the fifth dimension What is common sense? How is it established? Space and time Distance and motion as we know it A different view of scientific experimentation (energy, work, flow & fluidity) Appendix: Can we implement an AI algorithm using these concepts? Trying to solve the problem of data representation A learnable as a processor rather than a pre-defined instruction set processing