This theory proposes a unified description of existence in the universe, reconciling physics' core forces and frameworks.
Inspired by the concept of 'Agent' from artificial intelligence, this paper posits a novel theoretical premise: any viable 'Theory of Everything' (ToE) must first provide a unified descriptive framework for all forms of existence in the Universe, encompassing physical, biological, and artificial intelligence systems. From this premise, we establish three core criteria for evaluating any candidate ToE: (1) the unified description of all phenomena in the Universe; (2) the unification of the four fundamental forces; and (3) the reconciliation of general relativity and quantum mechanics.The primary objective of this paper is to demonstrate the potential of Generalized Agent Theory (GAT) as a candidate ToE by evaluating it against these three criteria. GAT is a theoretical framework of Generalized Agent Theory built upon a unified structure of Agent. Its core consists of Standard Agent Model, an Agent classification system, Polar Intelligent Field Model, and multi-Agent relationship patterns.Through a coherence analysis, this paper demonstrates GAT's alignment with the three criteria. First, its Standard Agent Model offers a unified modeling framework for physical, biological, and AI systems. Second, the theory posits the central hypothesis that the four fundamental forces can be unified into a more primordial 'Intelligent Field'. Finally, GAT attributes the theoretical disparities among classical mechanics, relativity, and quantum mechanics to the differing levels of 'observer' intelligence inherent within each respective framework.In conclusion, Generalized Agent Theory offers a novel pathway for addressing fundamental challenges in physics, presenting itself as a highly promising candidate framework for a 'Theory of Everything'.
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Feng Liu (2025) studied this question.
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