Bøker av Herbert Gintis

A classic work of radical educational theory and a progressive economic vision of equity and equality in America's schools.

A richly transdisciplinary account of some fundamental characteristics of human societies and behaviorIn this book, acclaimed economist Herbert Gintis ranges widely across many fields-including economics, psychology, anthropology, sociology, moral philosophy, and biology-to provide a rigorous transdisciplinary explanation of some fundamental characteristics of human societies and social behavior. Because such behavior can be understood only through transdisciplinary research, Gintis argues, Individuality and Entanglement advances the effort to unify the behavioral sciences by developing a shared analytical framework-one that bridges research on gene-culture coevolution, the rational-actor model, game theory, and complexity theory. At the same time, the book persuasively demonstrates the rich possibilities of such transdisciplinary work.Everything distinctive about human social life, Gintis argues, flows from the fact that we construct and then play social games. Indeed, society itself is a game with rules, and politics is the arena in which we affirm and change these rules. Individuality is central to our species because the rules do not change through inexorable macrosocial forces. Rather, individuals band together to change the rules. Our minds are also socially entangled, producing behavior that is socially rational, although it violates the standard rules of individually rational choice. Finally, a moral sense is essential for playing games with socially constructed rules. People generally play by the rules, are ashamed when they break the rules, and are offended when others break the rules, even in societies that lack laws, government, and jails.Throughout the book, Gintis shows that it is only by bringing together the behavioral sciences that such basic aspects of human behavior can be understood.

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.

Since its original publication in 2000, Game Theory Evolving has been considered the best textbook on evolutionary game theory. This completely revised and updated second edition of Game Theory Evolving contains new material and shows students how to apply game theory to model human behavior in ways that reflect the special nature of sociality and individuality. The textbook continues its in-depth look at cooperation in teams, agent-based simulations, experimental economics, the evolution and diffusion of preferences, and the connection between biology and economics. Recognizing that students learn by doing, the textbook introduces principles through practice. Herbert Gintis exposes students to the techniques and applications of game theory through a wealth of sophisticated and surprisingly fun-to-solve problems involving human and animal behavior. The second edition includes solutions to the problems presented and information related to agent-based modeling. In addition, the textbook incorporates instruction in using mathematical software to solve complex problems. Game Theory Evolving is perfect for graduate and upper-level undergraduate economics students, and is a terrific introduction for ambitious do-it-yourselfers throughout the behavioral sciences. Revised and updated edition relevant for courses across disciplines Perfect for graduate and upper-level undergraduate economics courses Solutions to problems presented throughout Incorporates instruction in using computational software for complex problem solving Includes in-depth discussions of agent-based modeling