P. B. Downing; VII.—Subjunctive Conditionals, Time Order, and Causation, Proceedings of the Aristotelian Society, Volume 59, Issue 1, 1 June 1959, Pages 125–140.

Originally published in 1969. This book explains what is wrong with the traditional methodology of "inductive" reasoning and shows that the alternative scheme of reasoning associated with Whewell, Pierce and Popper can give the scientist a useful insight into the way he thinks.

Central to Thomas Sprat's History of the Royal Society was the description and justification of the method adopted and advocated by the Fellows of the Society, for it was thought that it was their method which distinguished them from ancients, dogmatists, sceptics, and contemporary natural philosophers such as Descartes. The Fellows saw themselves as furthering primarily a novel method, rather than a system, of philosophy, and the History gave expression to this corporate self-perception. However, the History's description of their method (...) was not necessarily accurate. Rather, as will be argued below, by a combination of subtle misrepresentation and selective exposition, Sprat portrayed a method which would further the aims of social and ecclesiastical stability and material prosperity, essential for the Royal Society since its continued existence depended upon the creation of a social basis for the institutionalized pursuit of natural philosophy. Some link had to be forged between the activities of the Society and the intellectual and social aspirations of the Restoration. To understand the intent and meaning of Sprat's History and the method there portrayed, we must therefore look to the institutional needs which it fulfilled. (shrink)

The book deals with the notion of Downward Causation from a wide array of perspectives, including physics, biology, psychology, social science, communication studies, text theory, and philosophy. The book includes proponents as well as opponents discussing the validity of the notion.

Although the University of Leeds has attained something of a reputation for the quality of its scholarship in the history of science, few historians are aware of the impressive collection of early scientific and medical books and manuscripts to be found in the University libraries. In order to make the library resources more widely known, we embarked on a systematic survey of the contents of the main historical collections. We wanted not only to give a general impression of the particular (...) strengths and distinctive features of each collection, but also to mention the interesting or rare copies of individual works to be found in them. We have, therefore, examined every book related to the history of science and medicine in the relevant collections, and in doing so we have uncovered a number of important items. For example, we have identified a book which was once in Newton's library, and a previously unrecorded copy of Joseph Black's chemical lectures. More generally, we had not suspected the true size and range of the Chaston Chapman Collection, which makes it a valuable resource for the history of alchemy and early chemistry; nor were we initially aware of the strength of the Historical Collection of the Medical and Dental Library. The wealth of the legacies to the Brotherton and Special Collections also impressed us. (shrink)

We apply an online optimization process based on machine learning to the production of Bose-Einstein condensates. BEC is typically created with an exponential evaporation ramp that is optimal for ergodic dynamics with two-body s-wave interactions and no other loss rates, but likely sub-optimal for real experiments. Through repeated machine-controlled scientific experimentation and observations our ’learner’ discovers an optimal evaporation ramp for BEC production. In contrast to previous work, our learner uses a Gaussian process to develop a statistical model of the (...) relationship between the parameters it controls and the quality of the BEC produced. We demonstrate that the Gaussian process machine learner is able to discover a ramp that produces high quality BECs in 10 times fewer iterations than a previously used online optimization technique. Furthermore, we show the internal model developed can be used to determine which parameters are essential in BEC creation and which are unimportant, providing insight into the optimization process of the system. (shrink)