Overview

This book publishes 31 of the author's selected papers which have appeared, with one exception, since 1970. The papers cover a wide range of topics in the philosophy of science. Part I is concerned with general methodology, including formal and axiomatic methods in science. Part II is concerned with causality and explanation. The papers extend the author's earlier work on a probabilistic theory of causality. The papers in Part III are concerned with probability and measurement, especially foundational questions about probability. Part IV consists of several papers, including two historical ones, on the foundations of physics, with the main emphasis being on quantum mechanics. Part V, the longest part, is on the foundations of psychology and includes papers mainly on learning and perception. The book is aimed at philosophers of science, scientists concerned with the methodology of the social sciences, and mathematical psychologists interested in theories of learning, perception and measurement.

Full Product Details

Author:   Patrick Suppes
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1993
Volume:   226
Dimensions:   Width: 15.50cm , Height: 2.70cm , Length: 23.50cm
Weight:   0.807kg
ISBN:  

9789048142576

ISBN 10:   9048142571
Pages:   510
Publication Date:   03 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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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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