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      Formal evolutionary modeling and the problems of political science.

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      https://www.riss.kr/link?id=T10745048

      • 저자
      • 발행사항

        [S.l.]: University of Oregon 2005

      • 학위수여대학

        University of Oregon

      • 수여연도

        2005

      • 작성언어

        영어

      • 주제어
      • 학위

        Ph.D.

      • 페이지수

        131 p.

      • 지도교수/심사위원

        Adviser: John M. Orbell.

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      Formal theory in political science is an approach to studying political phenomena through the language of logic and mathematics. Is a science of politics possible? Formal political theory has lead to many advances in the discipline; however, it is facing an increasing number of challenges. I argue that some of the most serious challenges to formal theory can be addressed with a synthesis of game theory, computational modeling, and the theory of evolution. Ultimately, I claim that the science of politics is, in fact, possible if political theory is based upon a rigorous foundation of mathematics and if it is also systematically connected to the life sciences.
      I start by examining common challenges to formal political theory, including the assumption of hyper-rationality and a related problem of incorrect predictions about human behavior. This examination suggests that the fundamental problem that formal theorists face is not methodological but rather substantive--an imperfect model of a man.
      To emphasize the importance of a good underlying such model, I present the case of prospect theory--a formal scientific analysis of human behavior devoid of sound evolutionary basis (in social sciences).
      To discover a good model of a man, formal theorists may have to turn to the theory of evolution. However, the solution will be more substantive than methodological--as is the problem. Evolutionary theory is a formal theory and it is a natural step forward for formal theorists since the logic of evolution can be expressed mathematically. I show that formal evolutionary modeling--evolutionary game theory, models of adaptive learning, and evolutionary computation (computer simulation)--can be useful for addressing some of the most challenging problems of political science without abandoning the rigor of logic and mathematics.
      I apply formal evolutionary models to three different issues: endogenous agenda-setting, cooperation and altruistic punishment, heroism and intergroup violence. The models I develop are designed to provide realistic empirically testable predictions consistent with the view of human behavior now emerging from the life sciences.
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      Formal theory in political science is an approach to studying political phenomena through the language of logic and mathematics. Is a science of politics possible? Formal political theory has lead to many advances in the discipline; however, it is f...

      Formal theory in political science is an approach to studying political phenomena through the language of logic and mathematics. Is a science of politics possible? Formal political theory has lead to many advances in the discipline; however, it is facing an increasing number of challenges. I argue that some of the most serious challenges to formal theory can be addressed with a synthesis of game theory, computational modeling, and the theory of evolution. Ultimately, I claim that the science of politics is, in fact, possible if political theory is based upon a rigorous foundation of mathematics and if it is also systematically connected to the life sciences.
      I start by examining common challenges to formal political theory, including the assumption of hyper-rationality and a related problem of incorrect predictions about human behavior. This examination suggests that the fundamental problem that formal theorists face is not methodological but rather substantive--an imperfect model of a man.
      To emphasize the importance of a good underlying such model, I present the case of prospect theory--a formal scientific analysis of human behavior devoid of sound evolutionary basis (in social sciences).
      To discover a good model of a man, formal theorists may have to turn to the theory of evolution. However, the solution will be more substantive than methodological--as is the problem. Evolutionary theory is a formal theory and it is a natural step forward for formal theorists since the logic of evolution can be expressed mathematically. I show that formal evolutionary modeling--evolutionary game theory, models of adaptive learning, and evolutionary computation (computer simulation)--can be useful for addressing some of the most challenging problems of political science without abandoning the rigor of logic and mathematics.
      I apply formal evolutionary models to three different issues: endogenous agenda-setting, cooperation and altruistic punishment, heroism and intergroup violence. The models I develop are designed to provide realistic empirically testable predictions consistent with the view of human behavior now emerging from the life sciences.

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