The Bounds of Reason

By Herbert Gintis. 2014

569 citations recorded by the source corpus.

Game theory is central to understanding human behavior and relevant to all of the behavioral sciences—from biology and economics, to anthropology and political science. However, as The Bounds of Reason demonstrates, game theory alone cannot fully explain human behavior and should instead complement other key concepts championed by the behavioral disciplines. Herbert Gintis shows that just as game theory without broader social theory is merely technical bravado, so social theory without game theory is a handicapped enterprise. This edition has been thoroughly revised and updated. Reinvigorating game theory, The Bounds of Reason offers innovative thinking for the behavioral sciences.

Subfields: Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a34eb6ed8c88b80c6b11333de3559495664ee172

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In Management Science and Operations Research

In Sociology and Political Science

Citations in the corpus

First-Order Languaging Dynamics and Second-Order Language: The Distributed Language View (2011, background): “They have learned to become “symmetric reasoners” (Gintis, 2009, p. 142) who are able to mutually access the same implicit representational topology.”
Economic Emergence: an Evolutionary Economic Perspective (2012, unknown): “Emergence and economic evolution Neither Smith (2008) nor Gintis (2009) really offer a compelling new way of dealing with economic emergence, beyond saying that it requires input from all of the social sciences.”
The socio-emotional basis of human interaction and communication: How we construct our social world (2013, background): “The importance of these kinds of interdependencies and the difficulties of social coordination are highlighted by the abundant research on dyadic and social dilemmas in all behavioral sciences (e.g. Dawes, 1988; Gintis, 2009; Sally, 1995).”
Social norms and pro-environmental behavior: A review of the evidence (2017, background): “Gintis (2009) conceives of norms as the correlating devices of correlated equilibrium games and considers them to be an emergent property of complex adaptive systems.”
Opinion Dynamics and Learning in Social Networks (2011, background): “For this reason, some, like Gilboa and Schmei-dler [45], Gilboa, Postlewaite and Schmeidler [43] and Gintis [46], argue that a Bayesian perspective is often too restrictive.”
Institutions, rules, and equilibria: a unified theory* (2014, unknown): “8 See Aumann (1974, 1987), Vanderschraaf (1995, 1998, 2001), and Gintis (2007, 2009). simple proto-institution from its real-world counterpart.”