In this paper, I challenge the widespread view that Measurement Independence adequately represents the requirement that EPR experimenters have free will. Measurement Independence is most commonly taken as a necessary condition for free will. A number of implicit assumptions can be identified in this regard, all of which can be challenged on their own grounds. As a result, I conclude that Measurement Independence-type conditions are not to be justified by appealing to the preservation of the EPR experimenters’ free will.

Of the many and varied applications of quantum information theory, perhaps the most fascinating is the sub-field of quantum computation. In this sub-field, computational algorithms are designed which utilise the resources available in quantum systems in order to compute solutions to computational problems with, in some cases, exponentially fewer resources than any known classical algorithm. While the fact of quantum computational speedup is almost beyond doubt, the source of quantum speedup is still a matter of debate. In this paper I (...) argue that entanglement is a necessary component for any explanation of quantum speedup and I address some purported counter-examples that some claim show that the contrary is true. In particular, I address Cleve et al.'s solution to Deutsch's problem, Biham et al.'s mixed-state version of the Deutsch-Jozsa algorithm, and Knill & Laflamme's deterministic quantum computation with one qubit model of quantum computation. I argue that these examples do not demonstrate that entanglement is unnecessary for the explanation of quantum speedup, but that they rather illuminate and clarify the role that entanglement does play. (shrink)

Philosophical accounts of causality and causal explanation can provide important guidelines for the experimental sciences and valid experimental setups. In addition to the obvious requirement of logic validity, however, the approaches must account for the generally accepted experimental practice to be truly useful. To investigate this important interconnection, the current paper evaluates different philosophical accounts of causation and causal explanation in the light of typical psychophysical experiments. In particular, eye-tracking setups will be used to evaluate Granger Causality, Probabilistic Accounts and (...) Woodwardʼs manipulationist approach. Upon coarse reading, the manipulationist perspective seems most suitable for a practical application, but there are manifold problems hidden in the details of the definitions. However, with some adjustments via standard tools of experimental design, these problems can be overcome and leave Woodwardʼs account as the method of choice. (shrink)

It is still a controversial issue whether Reichenbach’s Principle of the Common Cause (RPCC) is a sound method for causal inference. In fact, the status of the principle has been a subject of intense philosophical debate. An extensive literature has been thus generated both with arguments in favor and against the adequacy of the principle. A remarkable argument against the principle, first proposed by Elliott Sober (Sober, 1987, 2001), consists on a counterexample which involves corelations between bread prices in Britain (...) and sea levels in Venice. The aim of this paper is to put into perspective criticisms to RPCC of the kind of Sober’s in the light of recent formal results regarding the so-called extendability and common cause completability. (shrink)

I consider the question of whether success-linked theories of content – theories like those of Ramsey (1927), Millikan (1984) and Blackburn (2005) which take there to be a definitional link between representational content and behavioral success – are consistent with the plausible claim that we can use content-attributions to explain behavioral success. Peter Godfrey-Smith (1996) argues that success-linked theories of content are too closely linked to success to be able to explain it. Against this, I present a plausible account of (...) how content-attributions make available good explanations of behavioral success, and argue that if we want our content-attributions to be able to do this explanatory work, then we actually need to embrace a success-linked theory of content. (shrink)