Complexity
Mitchell Waldrop’s *Complexity* traces the explosive birth of a revolutionary scientific field, following a ragtag group of cross-disciplinary thinkers who challenged the rigid, reductionist paradigms of 20th-century science. At the heart of the story is Brian Arthur, a rebellious economist who upended mainstream economics with his theory of increasing returns—showing how small initial advantages can lock in market dominance, defying the traditional focus on equilibrium. The book then chronicles the creation of the Santa Fe Institute (SFI), where Nobel laureates, physicists, biologists, and economists gathered to study complex systems: dynamic, adaptive networks where order emerges spontaneously from chaos. From the artificial stock market model that explained bubbles and crashes to Stuart Kauffman’s NK landscapes and Per Bak’s sandpile theory of self-organized criticality, *Complexity* reveals how these thinkers uncovered universal rules governing everything from ecosystems to economies, redefining our understanding of how the world works.