Maria Carla Galavotti

Le premier Congrès pour l’unité de la science qui s’est tenu à Paris en 1935 comprenait deux sessions, consacrées l’une à l’induction, l’autre aux probabilités. Des représentants éminents du mouvement pour une philosophie scientifique ont présenté des communications dans ces sessions: dans la première sont intervenus Hans Reichenbach, Moritz Schlick et Rudolf Carnap, dans la seconde, Reichenbach, Bruno de Finetti, Zygmunt Zawirski, Schlick et Janina Hosiasson, — dans cet ordre. Les sujets abordés concernaient la nature des lois scientifiques, le problème du sens et le principe de l’empirisme, ainsi que des questions connexes portant sur la confirmation des hypothèses scientifiques. Sur la nature des probabilités, les principales interprétations étaient représentées, à savoir le logicisme, le fréquentisme et le subjectivisme. Fut également examinée la possibilité de construire une logique probabiliste. Ce chapitre passe en revue les différentes contributions présentées dans ces deux sessions, à partir du texte publié dans les actes du Congrès.

This volume broadens our concept of reasoning and rationality to allow for a more pluralistic and situational view of human thinking as a practical activity. Drawing on contributors across disciplines including philosophy, economics, psychology, statistics, computer science, engineering, and physics, _Reasoning, Rationality, and Probability_ argues that the search for strong theories should leave room for the construction of context-sensitive conceptual tools. Both science and everyday life, the authors argue, are too complex and multifaceted to be forced into ready-made schemata

This volume sheds new light on the multifarious personality of Bruno de Finetti and his outstanding contributions not only to probability and statistics, but also to economics and philosophy. Rather than focusing on de Finetti's technical work on probability, the essays collected here address the philosophy underpinning all of de Finetti's writings, a view Richard Jeffrey labelled "radical probabilism". Special attention is devoted to de Finetti's ideas on economics, which are inspired by the same philosophical approach, while an effort is made to highlight some lesser known aspects of de Finetti's production. The volume ends with an Appendix on de Finetti's book L'invenzione della verit (The invention of truth), written in 1934 and published in 2006, which contains an extensive presentation of de Finetti's philosophical viewpoint, revolving around the idea that our knowledge is the product of human thought, which in such enterprise is guided by considerations of utility, rather than metaphysical principles.

Probability is the subject of considerable attention by Nagel, who devoted to it several writings. In the 1930s, Nagel put forward his “truth frequency” view of probability intended as a variant of the frequency theory minus the flaws to which this latter was susceptible. This paper illustrates how, according to Nagel, the issue of the meaning of probability should be addressed; Nagel’s criticism of the major interpretations of probability advanced in the literature, and the main traits of his “truth-frequency” theory.

One of the first to criticize the verifiability theory of meaning embraced by logical empiricists, Reichenbach ties the significance of scientific statements to their predictive character, which offers the condition for their testability. While identifying prediction as the task of scientific knowledge, Reichenbach assigns induction a pivotal role, and regards the theory of knowledge as a theory of prediction based on induction. Reichenbach’s inductivism is grounded on the frequency notion of probability, of which he prompts a more flexible version than that of Richard von Mises. Unlike von Mises, Reichenbach attempts to account for single case probabilities, and entertains a restricted notion of randomness, more suitable for practical purposes. Moreover, Reichenbach developed a theory of induction, absent from von Mises’s perspective, and argued for the justification of induction. This article outlines the main traits of Reichenbach’s inductivism, with special reference to his book Experience and prediction.

One of the first to criticize the verifiability theory of meaning embraced by logical empiricists, Reichenbach ties the significance of scientific statements to their predictive character, which offers the condition for their testability. While identifying prediction as the task of scientific knowledge, Reichenbach assigns induction a pivotal role, and regards the theory of knowledge as a theory of prediction based on induction. Reichenbach's inductivism is grounded on the frequency notion of probability, of which he prompts a more flexible version than that of Richard von Mises. Unlike von Mises, Reichenbach attempts to account for single case probabilities, and entertains a restricted notion of randomness, more suitable for practical purposes. Moreover, Reichenbach developed a theory of induction, absent from von Mises's perspective, and argued for the justification of induction. This article outlines the main traits of Reichenbach's inductivism, with special reference to his book Experience and prediction

Not limited to merely mathematics, probability has a rich and controversial philosophical aspect. _A Philosophical Introduction to Probability_ showcases lesser-known philosophical notions of probability and explores the debate over their interpretations. Galavotti traces the history of probability and its mathematical properties and then discusses various philosophical positions on probability, from the Pierre Simon de Laplace's “classical” interpretation of probability to the logical interpretation proposed by John Maynard Keynes. This book is a valuable resource for students in philosophy and mathematics and all readers interested in notions of probability

This contribution claims that the two fundamental notions of causation at work in the health sciences are manipulative and mechanistic, and investigates what kinds of evidence matter for the assessment of causal relations. This article is a development of our 2007 article, ‘Plurality of Causality’, where we argue for a pluralistic account of causation with an eye to econometrics and a single medical example. The present contribution has a wider focus, and considers the notion of evidence within a whole range of disciplines belonging to the health sciences. Section 1 addresses the relations between kinds of evidence and causal accounts, and it is shown how different notions of causation can be employed in various medical cases. Section 2 calls attention to issues crucial for any adequate epistemological theory of causation, such as the distinctions between types and tokens, observational and experimental regimes, explanation and prediction. Lastly, the notion of context is articulated, highlighted in its role in the assessment of causal links. All these issues are tackled in the framework of what we label a ‘bottom–up’ epistemology.

The proceedings of a June 1995 conference in Luino, Italy. One poem and 16 papers explore various issues in the philosophy of science with an emphasis on the foundations of probability and statistics and quantum mechanics. The topics include subjective probability, Bayesian statistics, probability kinematics, causal decision making, and probability and realism in quantum mechanics. The problem of collecting new evidence and updating probability judgements are addressed in reference to different applications. No index. Reprinted from Erkenntnis vol. 45, nos. 2-3 (1996). Annotation copyrighted by Book News, Inc., Portland, OR.

Harold Jeffreys' ideas on the interpretation of probability and epistemology are reviewed. It is argued that with regard to the interpretation of probability, Jeffreys embraces a version of logicism that shares some features of the subjectivism of Ramsey and de Finetti. Jeffreys also developed a probabilistic epistemology, characterized by a pragmatical and constructivist attitude towards notions such as ‘objectivity’, ‘reality’ and ‘causality’. 1 Introductory remarks 2 The interpretation of probability 3 Jeffreys' probabilistic epistemology.