Brian Skyrms presents a set of influential essays which deploy formal methods to address epistemological and metaphysical questions. The first part of the book focuses on quantity; the second on degrees of belief, belief revision, and coherence; the third on aspects of inductive reasoning.
Brian Skyrms presents a set of influential essays which deploy formal methods to address epistemological and metaphysical questions. The first part of the book focuses on quantity; the second on degrees of belief, belief revision, and coherence; the third on aspects of inductive reasoning.
Brian Skyrms is Distinguished Professor of Logic and Philosophy of Science and Economics at the University of California, Irvine. His interests cover a range of topics, including the evolution of conventions, the social contract, inductive logic, decision theory, rational deliberation, the metaphysics of logical atomism, causality, and truth. He is the author of Signals: Evolution, Learning, and Information (OUP, 2010).
Inhaltsangabe
Preface Acknowledgements I. Zeno and the Metaphysics of Quantity Introduction 1: Zeno's Paradox of Measure 2: Tractarian Nominalism 3: Logical Atoms and Combinatorial Possibility 4: Strict Coherence, Sigma Coherence, and the Metaphysics of Quantity II. Coherent Degrees of Belief Introduction 5: Higher Order Degrees of Belief 6: A Mistake in Dynamic Coherence Arguments? 7: Dynamic Coherence and Probability Kinematics 8: Updating, Supposing, and MAXENT 9: The Structure of Radical Probabilism 10: Diachronic Coherence and Radical Probabilism III. Induction Introduction 11: Carnapian Inductive Logic for Markov Chains 12: Carnapian Inductive Logic and Bayesian Statistics 13: Bayesian Projectibility
Preface Acknowledgements I. Zeno and the Metaphysics of Quantity Introduction 1: Zeno's Paradox of Measure 2: Tractarian Nominalism 3: Logical Atoms and Combinatorial Possibility 4: Strict Coherence, Sigma Coherence, and the Metaphysics of Quantity II. Coherent Degrees of Belief Introduction 5: Higher Order Degrees of Belief 6: A Mistake in Dynamic Coherence Arguments? 7: Dynamic Coherence and Probability Kinematics 8: Updating, Supposing, and MAXENT 9: The Structure of Radical Probabilism 10: Diachronic Coherence and Radical Probabilism III. Induction Introduction 11: Carnapian Inductive Logic for Markov Chains 12: Carnapian Inductive Logic and Bayesian Statistics 13: Bayesian Projectibility
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