While cetaceans clearly show social learning in a wide variety of contexts, to label this as hides more than it reveals: we need a taxonomy of culture to tease apart the differences rather than hiding them in a catch-all category.

We give an account of some relationships between the principles of Constant and Atom Exchangeability and various generalizations of the Principle of Instantial Relevance within the framework of Inductive Logic. In particular we demonstrate some surprising and somewhat counterintuitive dependencies of these relationships on ostensibly unimportant parameters, such as the number of predicates in the overlying language.

This paper investigates a well-known case of simultaneous discovery in twentieth-century chemistry, the origins of the concept of hybridisation, in the light of Kuhn's insights. There has been no ambiguity as to who discovered this concept, when it was "rst in print, and how important it was. The full-#edged form of the concept was published in 1931 independently by two American scientists John C. Slater (1900}1976) and Linus Pauling (1901}1994), although both of them had made their ideas public earlier: (...) Slater at the American Physical Society meetings in 1930, and Pauling in the Proceedings of the National Academy of Sciences in 1928. Slater and Pauling both argued for the necessity of using an s orbital as well as three p orbitals in the carbon atom in order to explain carbon's four valences and the tetrahedral structure of methane. The metaphor &hybridisation' for denoting this mix of s and p orbitals was "rst used by Robert S. Mulliken and J. H. Van Vleck before gaining currency with the scienti"c community around 1935.2 The concept of hybridisation was indeed indispensable for extending the quantum-mechanical interpretation of the chemical bond as an electron pairing from diatomic molecules to polyatomic ones. To be sure, the emergence of hybridisation attests to scientists' growing interest in exploring the borderland between physics and chemistry, a trend that led to the creation of physical chemistry in the late nineteenth century and of chemical physics and quantum chemistry in the 1920s and 30s. Slater and Pauling themselves experienced and on many occasions talked about the fruitfulness of interdisciplinary research; and historians have legitimately illuminated their works by examining them in this broad context.3 Yet the careful analysis of their research notes and published papers reveals that Slater and Pauling were working in quite disparate disciplinary traditions, with di!erent approaches, for di!erent audiences, and towards di!erent goals. The aim of this paper is to explore their di!erent routes to a common destination*hybridisation*and thereby to explicate tensions existing between physics and chemistry amidst the institutional and conceptual overlapping of the two disciplines. (shrink)

It is an interesting fact of our time that some of the best studies of communism and Marxism have been written by Catholic scholars. This book, based on a series of television programs in St. Louis aims at presenting an historical and theoretical understanding of the emergence of Marxism and the development of Communism. Written for the intelligent lay reader as an introduction to a complex subject, the treatment is lucid and balanced.—R. J. B.

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)