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Mahendra Samarawickrama

3 papers in the library · publishing 2023-2025

Papers

The Model of Consciousness: An Analysis of Causation, Self, Gödel’s Incompleteness, and Buddhist Philosophy

Journal of Physics, Conference Series June 1, 2025 Mahendra Samarawickrama

Gödel's incompleteness theorems show that logical and computational systems like Turing machines are inherently incomplete and cannot decide all truths. This paper argues that consciousness, understood as a non-material, chaotic finite-state machine without self-reference, can achieve a complete and decidable grasp of reality. Drawing on Theravāda Buddhist philosophy, the authors propose that awareness of causation, free from self-referencing, aligns with the unpredictable yet deterministic nature of reality, thereby transcending the limitations Gödel identified. This model preserves the integrity of conscious experience and offers a pathway to deeper understanding. Future work aims to develop techniques for sustaining such awareness.

Mathematical Modeling of Consciousness for Unifying Causation, Relativity and Quantum Mechanics

Journal of Physics: Conference Series February 1, 2024 Mahendra Samarawickrama

Gravity and quantum mechanics remain unreconciled because the mathematical frameworks of fundamental physics lack a consciousness dimension. While electromagnetism, the weak nuclear force, and the strong nuclear force are unified under quantum field theory, gravity is accurately described only by relativity, which does not complement quantum physics. Incorporating consciousness into these frameworks could explain the causation of gravity, quantum mechanics, and reality, making our understanding of reality complete.

Unifying Consciousness and Time to Enhance Artificial Intelligence

arXiv Preprint Archive January 10, 2023 Mahendra Samarawickrama

Consciousness is a sequential process of awareness that focuses on one piece of information at a time, experiencing causation that underpins time while interacting with matter and energy to form reality. Patterns in consciousness emerge from regularities in nature—physical, biological, chemical, mental, and social—and evolve into cultural constructs, systems, and values. Responsible AI design should be attuned to these evolved ethical and moral values through consciousness, requiring self-learning AI that is aware of time perception and human ethics.