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Models and Methods in the Philosophy of Science
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Table of Contents

1 The Role of Formal Methods in the Philosophy of Science.- 2 The Study of Scientific Revolutions: Theory and Methodology.- 3 Limitations of the Axiomatic Method in Ancient Greek Mathematical Sciences.- 4 The Plurality of Science.- 5 Heuristics and the Axiomatic Method.- 6 Representation Theory and the Analysis of Structure.- 7 Causal Analysis of Hidden Variables.- 8 Scientific Causal Talk.- 9 Explaining the Unpredictable.- 10 Conflicting Intuitions about Causality.- 11 When Are Probabilistic Explanations Possible?.- 12 Non-Markovian Causality in the Social Sciences with Some Theorems on Transitivity.- 13 Finite Equal-Interval Measurement Structures.- 14 The Measurement of Belief.- 15 The Logic of Clinical Judgment: Bayesian and Other Approaches.- 16 Arguments for Randomizing.- 17 Propensity Representations of Probability.- 18 Indeterminism or Instability, Does It Matter?.- 19 Descartes and the Problem of Action at a Distance.- 20 Some Open Problems in the Philosophy of Space and Time.- 21 Aristotle’s Concept of Matter and Its Relation to Modern Concepts of Matter.- 22 Popper’s Analysis of Probability in Quantum Mechanics.- 23 Probabilistic Causality in Quantum Mechanics.- 24 From Behaviorism to Neobehaviorism.- 25 Learning Theory for Probabilistic Automata and Register Machines, with Applications to Educational Research.- 26 Is Visual Space Euclidean?.- 27 Davidson’s Views on Psychology as a Science.- 28 Current Directions in Mathematical Learning Theory.- 29 On Deriving Models in the Social Sciences.- 30 The Principle of Invariance with Special Reference to Perception.- 31 Can Psychological Software be Reduced to Physiological Hardware?.- Author Index.

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