H. Peyton Young – författare

Spontaneous Order brings together Peyton Young's research on evolutionary game theory and its diverse applications across a wide range of academic disciplines, including economics, sociology, philosophy, biology, computer science, and engineering. Enhanced with an introductory essay and commentaries, the book pulls together the author's work thematically to provide a valuable resource for scholars of economic theory. Young argues that equilibrium behaviors often coalesce from the interactions and experiences of many dispersed individuals acting with fragmentary knowledge of the world, rather than (as is often assumed in economics) from the actions of fully rational agents with commonly held beliefs. The author presents a unified and rigorous account of how such 'bottom-up' evolutionary processes work, using recent advances in stochastic dynamical systems theory. This analytical framework illuminates how social norms and institutions evolve, how social and technical innovations spread in society, and how these processes depend on adaptive learning behavior by human subjects.

In this concise book based on his Arne Ryde Lectures in 2002, Young suggests a conceptual framework for studying strategic learning and highlights theoretical developments in the area. He discusses the interactive learning problem; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and its variants; Bayesian learning; and hypothesis testing.Young's framework emphasizes the amount of information required to implement different types of learning rules, criteria for evaluating their performance, and alternative notions of equilibrium to which they converge. He also stresses the limits of what can be achieved: for a given type of game and a given amount of information, there may exist no learning procedure that satisfies certain reasonable criteria of performance and convergence.In short, Young has provided a valuable primer that delineates what we know, what we would like to know, and the limits of what we can know, when we try to learn about a system that is composed of other learners.

Negotiation Analysis brings together leading experts to bridge theory and practice in the fast-evolving fields of negotiation, game theory, and decision science. Designed for students and practitioners without advanced mathematical training, this volume distills key results from economics, psychology, and game theory that illuminate the dynamics of negotiation. Through accessible essays, the book explores core topics such as fair division, arbitration procedures, strategic incentives, the influence of cognitive biases, coalition formation, and the dangers of escalation. Each chapter illustrates concepts with real-world examples and practical applications, providing readers with frameworks for understanding negotiation processes in business, law, politics, and beyond. Intended as both a supplement to Howard Raiffa’s classic The Art and Science of Negotiation and a standalone reference, Negotiation Analysis challenges assumptions and deepens insight into how people reach agreements—or fail to do so—across a wide variety of settings.