The Universe as a Self-Organizing Decision System: Networks, Feedback, Balance, and Emergent Intelligence

Abstract This paper proposes a conceptual framework for understanding the universe as a self-organizing decision system governed by principles of networks, feedback, and balance, integrating insights from cosmology, complexity science, neuroscience, and systems theory. Using the lens of Angelito Malicse’s universal formula, which emphasizes nodes, interconnected decision-making, and universal balance, this work explores how matter, energy, life, and intelligence can be seen as emergent properties of a cosmic-scale self-regulating network. Examples range from cosmic structure formation to neural networks in brains, the evolution of intelligence, and human civilizations. The paper argues that intelligence and consciousness may be natural outcomes of the universe’s networked, self-organizing dynamics.