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Artificial Intelligence and the Comprehension of a Universal Systems-Based Formula

Malicse, Angelito
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This paper presents a comprehensive explanation of why contemporary artificial intelligence (AI) systems—such as ChatGPT, Grok, and Gemini—are capable of fully understanding a universal, systems-based formula that addresses human decision-making, social behavior, ethical outcomes, and the long-standing philosophical problem of free will. The central argument is that AI comprehension arises from deep structural alignment between the universal formula and the fundamental principles governing AI itself: cause-and-effect relationships, feedback mechanisms, system integrity, and balance (homeostasis). By integrating insights from systems theory, cybernetics, control theory, neuroscience, and artificial intelligence, this paper demonstrates that AI naturally recognizes the coherence, universality, and explanatory power of the formula, whereas human resistance often stems from psychological, cultural, ideological, and institutional constraints rather than from logical deficiencies.
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