Richard Selten

Richard Selten
Name	Richard Selten
Birth date	5 October 1930
Birth place	Breslau
Death date	23 August 2016
Death place	Poznań
Nationality	Germany
Fields	Game theory
Alma mater	University of Münster
Doctoral advisor	Bernhard Neumann
Known for	Subgame perfect equilibrium, Backward induction, Selten's horse

Richard Selten was a German economist and mathematician whose work reshaped modern Game theory and experimental Decision theory. He became renowned for formalizing solution concepts for dynamic games, pioneering refinements of Nash equilibrium, and promoting laboratory testing of strategic behavior with connections to Experimental economics and Behavioral economics. His research influenced scholars across Economics, Mathematics, Political science, and Computer science.

Early life and education

Born in Breslau in 1930, he lived through upheavals associated with World War II and the shifting borders of Silesia. He pursued higher education at the University of Münster, where he studied mathematics and economics under advisors including Bernhard Neumann and engaged with contemporaries influenced by traditions from Cambridge and Vienna. His doctoral work combined mathematical rigor from Hilbert-inspired curricula with problems in strategic interaction that drew on classical contributions by John von Neumann and Oskar Morgenstern.

Academic career and positions

He held academic posts at institutions such as the University of Kiel and the University of Bonn, later becoming a professor at the University of Bonn where he founded influential research groups linking theory and experiment. He collaborated with scholars at the Cowles Commission, spent time visiting Princeton University and Stanford University, and interacted with researchers at the Max Planck Institute and Institute for Advanced Study. His networks included ties to Nash, John Harsanyi, Kenneth Arrow, and later colleagues in Experimental economics like Vernon Smith and Daniel Kahneman.

Contributions to game theory

He introduced rigorous refinements of equilibrium concepts to address non-credible threats in dynamic games, building on ideas from John Nash and Lloyd Shapley. His definition of subgame perfect equilibrium applied backward induction to extensive-form games, clarifying strategic behavior in settings related to the Centipede game and Ultimatum Game. He proposed trembling-hand perfection to eliminate implausible Nash equilibria, connecting to later refinements like Perfect Bayesian equilibrium and influencing computational analyses in Algorithmic game theory. His concepts informed models of bargaining in the tradition of Rubinstein and coordination problems studied in Thomas Schelling's work.

Major publications and theories

Key papers and monographs by him developed formal solution concepts and experimental methodologies; these include rigorous treatments of equilibrium refinements, stability, and learning in games. He analyzed repeated games building on Robert Aumann's work and explored evolutionary interpretations related to John Maynard Smith. His theoretical constructions—often exemplified via canonical extensive-form illustrations such as the "horse" game—were applied to mechanisms in Auction theory, Industrial organization, and models testing bounded rationality in interactions akin to those studied by Herbert Simon and Gerd Gigerenzer.

Awards and honors

He received the Nobel Memorial Prize in Economic Sciences jointly with Leonid Hurwicz and Eric Maskin for contributions to mechanism design and equilibrium analysis. Additional honors included memberships in academies such as the Royal Swedish Academy of Sciences and invitations to deliver lectures at institutions including London School of Economics, Massachusetts Institute of Technology, and the European University Institute. His work was recognized with prizes and honorary degrees from universities in Europe and North America and cited widely across journals like Econometrica, Games and Economic Behavior, and Journal of Economic Theory.

Personal life and legacy

He was known for blending mathematical exactness with an experimental orientation that connected laboratory findings to theoretical constructs, influencing generations of researchers including experimentalists and methodologists in Economics and Psychology. His legacy persists in curricula at universities such as University of Chicago, Harvard University, and Yale University where equilibrium refinements and experimental methods are standard. Colleagues and students continue to advance topics he shaped, from refinements like trembling-hand perfection to applications in computerized auctions and strategic computation at institutions such as Google research groups and Microsoft Research.

Category:Economists Category:Mathematicians