Ioannis Votsis

Everything you always wanted to know about structural realism but were afraid to ask Content Type Journal Article Pages 227-276 DOI 10.1007/s13194-011-0025-7 Authors Roman Frigg, Department of Philosophy, Logic and Scientific Method, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE UK Ioannis Votsis, Philosophisches Institut, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, Geb. 23.21/04.86, 40225 Düsseldorf, Germany Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 2

Barring some civilisation-ending natural or man-made catastrophe, future scientists will likely incorporate fully fledged artificially intelligent agents in their ranks. Their tasks will include the conjecturing, extending and testing of hypotheses. At present human scientists have a number of methods to help them carry out those tasks. These range from the well-articulated, formal and unexceptional rules to the semi-articulated rules-of-thumb and intuitive hunches. If we are to hand over at least some of the aforementioned tasks to artificially intelligent agents, we need to find ways to make explicit and ultimately formal, not to mention computable, the more obscure of the methods that scientists currently employ with some measure of success in their inquiries. The focus of this talk is a problem for which the available solutions are at best semi-articulated and far from perfect. It concerns the question of how to conjecture new hypotheses or extend existing ones such that they do not save phenomena in gerrymandered or ad hoc ways. This talk puts forward a fully articulated formal solution to this problem by specifying what it is about the internal constitution of the content of a hypothesis that makes it gerrymandered or ad hoc. In doing so, it helps prepare the ground for the delegation of a full gamut of investigative duties to the artificially intelligent scientists of the future

A stalwart view in the philosophy of science holds that, even when broadly construed so as to include theoretical auxiliaries, theories cannot make direct contact with observations. This view owes much to Bogen and Woodward’s influential distinction between data and phenomena. According to them, data are typically the kind of things that are observable or measurable like "bubble chamber photographs, patterns of discharge in electronic particle detectors and records of reaction times and error rates in various psychological experiments". Phenomena are physical processes that are typically unobservable. Examples of the latter category include "weak neutral currents, the decay of the proton, and chunking and recency effects in human memory". Theories, in Bogen and Woodward’s view, are utilised to systematically explain, infer and predict phenomena, not data. The relationship between theories and data is rather indirect. Data count as evidence for phenomena and the latter in turn count as evidence for theories. This view is becoming increasingly influential, Stathis Psillos and Mauricio Suárez ). In this paper I argue contrary to this view that in various significant and well-known cases theories do make direct contact with the help of suitable auxiliaries

Empiricism has been a pivotal philosophical topic for more than two millennia. Several Sophists, Aristotle, the Epicureans, Sextus Empiricus, Francis Bacon, Locke, Hume, Mill, Mach and the Logical Empiricists represent a long line of historically influential empiricists who share a prioritising of the sensory over all other forms of knowledge. The latest influential incarnation, Bas van Fraassen’s constructive empiricism, takes science to aim at empirically adequate theories, i.e. theories that save all and only the observable phenomena. Roughly put, an object or phenomenon is observable in van Fraassen’s view if a properly functioning member of the human epistemic community can detect it via their unaided senses. Scientific realists and other critics have contested this notion citing among other reasons that most knowledge in natural science concerns objects that can only be detected with instruments, i.e. those that are unobservable and hence unknowable by van Fraassen’s lights. Beg-the-question accusations fly back and forth. As a consequence a stalemate has ensued in the scientific realism debate

A question in the philosophy of science that has engrossed the minds of many eminent thinkers is the epistemological one of what kind of knowledge, if any, science reveals of the physical world. Answers to this question are typically classified as either realist or anti-realist.1 Structural Realism, as part of its name suggests, is a position on the realist side of the divide. In very simple terms, its advocates hold that our epistemic access to the world, so far as its non-observable part is concerned, is restricted to its structural features. The position can be traced back at least to the beginning of the twentieth century and has recently been attracting renewed interest