Studies in the Methodology and Foundations of Science

Table of Contents

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   Book Overview
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   Chapter 1 A Comparison of the Meaning and Uses of Models in Mathematics and the Empirical Sciences
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   Chapter 2 Models of Data
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   Chapter 3 A Set of Independent Axioms for Extensive Quantities
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   Chapter 4 Foundational Aspects of Theories of Measurement
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   Chapter 5 Measurement, Empirical Meaningfulness, and Three-Valued Logic
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   Chapter 6 The Role of Subjective Probability and Utility in Decision-Making
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   Chapter 7 The Philosophical Relevance of Decision Theory
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   Chapter 8 An Axiomatization of Utility Based on the Notion of Utility Differences
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    Chapter 9 Behavioristic Foundations of Utility
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    Chapter 10 Some Formal Models of Grading Principles
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    Chapter 11 Probabilistic Inference and the Concept of Total Evidence
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    Chapter 12 Axioms for Relativistic Kinematics with or without Parity
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    Chapter 13 Probability Concepts in Quantum Mechanics
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    Chapter 14 The Role of Probability in Quantum Mechanics
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    Chapter 15 The Probabilistic Argument for a Nonclassical Logic of Quantum Mechanics
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    Chapter 16 Stimulus-Sampling Theory for a Continuum of Responses
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    Chapter 17 On an Example of Unpredictability in Human Behavior
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    Chapter 18 Behaviorism
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    Chapter 19 On the Behavioral Foundations of Mathematical Concepts
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    Chapter 20 Towards a Behavioral Foundation of Mathematical Proofs
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    Chapter 21 The Psychological Foundations of Mathematics
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    Chapter 22 On the Theory of Cognitive Processes
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    Chapter 23 Stimulus-Response Theory of Finite Automata