Models and Methods in the Philosophy of Science: Selected EssaysSpringer Science & Business Media, 14.03.2013 - 510 Seiten The thirty-one papers collected in this volume represent most of the arti cles that I have published in the philosophy of science and related founda tional areas of science since 1970. The present volume is a natural succes sor to Studies in the Methodology and Foundations of Science, a collection of my articles published in 1969 by Reidel (now a part of Kluwer). The articles are arranged under five main headings. Part I contains six articles on general methodology. The topics range from formal methods to the plurality of science. Part II contains six articles on causality and explanation. The emphasis is almost entirely on probabilistic approaches. Part III contains six articles on probability and measurement. The impor tance of representation theorems for both probability and measurement is stressed. Part IV contains five articles on the foundations of physics. The first three articles are concerned with action at a distance and space and time, the last two with quantum mechanics. Part V contains eight articles on the foundations of psychology. This is the longest part and the articles reflect my continuing strong interest in the nature of learning and perception. Within each part the articles are arranged chronologically. I turn now to a more detailed overview of the content. The first article of Part I concerns the role of formal methods in the philosophy of science. Here I discuss what is the new role for formal methods now that the imperialism of logical positivism has disappeared. |
Inhalt
3 | |
THEORY | 15 |
LIMITATIONS OF THE AXIOMATIC METHOD IN ANCIENT GREEK | 25 |
THE PLURALITY OF SCIENCE | 41 |
REPRESENTATION THEORY AND THE ANALYSIS OF STRUCTURE | 67 |
CAUSAL ANALYSIS OF HIDDEN VARIABLES | 85 |
1 | 95 |
EXPLAINING THE UNPREDICTABLE | 111 |
SOME OPEN PROBLEMS IN THE PHILOSOPHY OF SPACE | 271 |
ARISTOTLES CONCEPT OF MATTER AND ITS RELATION | 289 |
POPPERS ANALYSIS OF PROBABILITY IN QUANTUM | 311 |
PROBABILISTIC CAUSALITY IN QUANTUM MECHANICS | 320 |
FROM BEHAVIORISM TO NEOBEHAVIORISM | 341 |
3 | 348 |
PROBLEMS OF PREDICTION | 354 |
IS VISUAL SPACE EUCLIDEAN? | 373 |
CONFLICTING INTUITIONS ABOUT CAUSALITY | 121 |
NONMARKOVIAN CAUSALITY IN THE SOCIAL SCIENCES WITH | 149 |
FINITE EQUALINTERVAL MEASUREMENT STRUCTURES | 163 |
THE MEASUREMENT OF BELIEF | 181 |
BAYESIAN AND OTHER | 201 |
1 | 209 |
CAUSAL INFERENCES | 220 |
INDETERMINISM OR INSTABILITY DOES IT MATTER? | 247 |
4 | 254 |
1 | 396 |
CURRENT DIRECTIONS IN MATHEMATICAL LEARNING THEORY | 407 |
ON DERIVING MODELS IN THE SOCIAL SCIENCES | 435 |
5 | 445 |
THE PRINCIPLE OF INVARIANCE WITH SPECIAL REFERENCE | 451 |
CAN PSYCHOLOGICAL SOFTWARE BE REDUCED | 471 |
483 | |
507 | |
Andere Ausgaben - Alle anzeigen
Models and Methods in the Philosophy of Science: Selected Essays Patrick Suppes Eingeschränkte Leseprobe - 1993 |
Models and Methods in the Philosophy of Science: Selected Essays Patrick Suppes Keine Leseprobe verfügbar - 2010 |
Models and Methods in the Philosophy of Science: Selected Essays Patrick Suppes Keine Leseprobe verfügbar - 2014 |
Häufige Begriffe und Wortgruppen
algebra analysis argument Aristotle's assumption atoms axiomatic method axioms Bayesian behavior belief binary relation bodies causal classical classical mechanics common cause completely concept of matter conditional independence construction defined definition Descartes detailed deterministic discussion distribution element elementary empirical equations Euclidean Euclidean geometry example experimental experiments explicit facie cause finite formal foundations framework function fundamental geometry given heuristic hidden variable hypothesis ideas important intuitive isomorphism kind learning LEMMA likelihood function linear Markov mathematical models motion natural particles phenomena philosophical philosophy of science physical possible postulates predict principle probabilistic probability measure probability space problems proof properties psychology qualitative quantum mechanics random variables real numbers register machine reinforcement relation representation theorem response restricted sample satisfied scientific seems sense sequence simple standard standpoint statistical structure subsets Suppes tion transformation trial visual space weak ordering