Rational Rules argues that moral learning can be understood in terms of general-purpose rational learning procedures. Nichols provides statistical learning accounts of some fundamental aspects of moral development, combining aspects of traditional empiricist and rationalist approaches.
Rational Rules argues that moral learning can be understood in terms of general-purpose rational learning procedures. Nichols provides statistical learning accounts of some fundamental aspects of moral development, combining aspects of traditional empiricist and rationalist approaches.
Shaun Nichols is Professor of Philosophy at Cornell University.
Inhaltsangabe
Preface PART I: RATIONALITY AND RULES 1: Rationality and morality: Setting the stage 2: The wrong and the bad: On the nature of moral representations PART II: STATISTICAL LEARNING OF NORM SYSTEMS 3: Scope 4: Priors 5: Closure 6: Status PART III: PHILOSOPHICAL IMPLICATIONS 7: Moral empiricism 8: Rational rules and normative propriety 9: Rational rules, relativism, and universalism 10: Is it rational to be moral?
Preface PART I: RATIONALITY AND RULES 1: Rationality and morality: Setting the stage 2: The wrong and the bad: On the nature of moral representations PART II: STATISTICAL LEARNING OF NORM SYSTEMS 3: Scope 4: Priors 5: Closure 6: Status PART III: PHILOSOPHICAL IMPLICATIONS 7: Moral empiricism 8: Rational rules and normative propriety 9: Rational rules, relativism, and universalism 10: Is it rational to be moral?
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