
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.
How do complex social norms and institutions emerge from the decentralized interactions of individuals with limited information? H. Peyton Young, a prominent researcher in economic theory, synthesizes his extensive work on evolutionary game theory to challenge the traditional economic assumption of the fully rational agent. By utilizing stochastic dynamical systems theory, the author provides a rigorous framework to explain how equilibrium behaviors arise from bottom-up adaptive learning processes rather than top-down coordination.
What You Will Find
Scope Limits
Experts recognize this collection as a significant synthesis of Young's contributions to the field of evolutionary economics. Readers frequently note the high level of mathematical rigor and the academic density of the prose, making it a specialized resource for researchers and graduate students.
Page Count:
384
Publication Date:
2024-01-01
Publisher:
New York : Oxford University Press,
ISBN-10:
0191996939
ISBN-13:
9780191996931
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