Emergence as Harmony : Mathematical Principles of Self-Organization, Complexity, and Collective Behavior

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English

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Emergent phenomena arise when complex systems exhibit properties that are absent in their constituent parts. They span scales and disciplines, from the collective intelligence of bird flocks in biology to the patterns of inequality and segregation in economics and sociology. Do these disparate examples share unifying principles? How do order and collective behavior emerge from chaos through self-organization? Venkat Venkatasubramanian shows that a novel paradigm—statistical teleodynamics—can explain emergence. This unified theory represents a transdisciplinary synthesis integrating concepts from various fields. Venkatasubramanian formulates a mathematical framework for understanding emergent phenomena across domains, spanning physics, biology, ecology, economics, sociology, and artificial intelligence. He demonstrates that the organizational principle of emergent systems is maximizing harmony, which he examines various ways to measure. Emergence as Harmony offers new answers to fundamental questions on topics ranging from income inequality to large language models and neural networks.

Drawing on game theory, statistical mechanics, and dynamical systems, Venkat Venkatasubramanian develops a unified theory of emergence, which yields fresh answers to fundamental questions ranging from income inequality to the workings of neural networks in large language models.

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