Santa Fe Institute: Foundations of Complex Systems
Interdisciplinary lectures exploring emergence, scaling laws, algorithmic information, network dynamics, biological computation, and collective intelligence across physical and social systems.
Independent theoretical research institute dedicated to the multidisciplinary study of complex adaptive systems across physics, biology, computation, and society.
Complete semester courses and structured lecture series recorded at Santa Fe Institute.
Interdisciplinary lectures exploring emergence, scaling laws, algorithmic information, network dynamics, biological computation, and collective intelligence across physical and social systems.
Self-contained research seminars, public lectures, and invited colloquia.
Tests few-shot relational abstraction across humans, symbolic architectures, and multimodal foundation models using Hofstadterian visual analogy benchmarks.
Derives sublinear 3/4-power metabolic scaling in vascular biological networks and contrasts it with superlinear scaling of innovation and infrastructure in cities.
Exploring computational frameworks to model the high-dimensional landscape of quantum materials, addressing emergent orders like superconductivity and topological protection.
A quantitative spatial model of antebellum American slavery, analyzing the economic structures and geographic patterns influencing free and enslaved labor in 1860.
A theoretical framework for understanding transient dynamics in natural systems, focusing on how processes matter to a finite observer rather than asymptotic states.
Exploring how human-AI teams can leverage metacognitive information exchange to enhance decision-making and optimize collective intelligence.
Professors, researchers, and invited lecturers recorded at Santa Fe Institute.
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