Conceptual analysis as traditionally understood can be improved by allowing the use of a certain kind of empirical investigation. The conceptual analysis in which the kind of empirical investigation in question is used can be called “empirical conceptual analysis”. In the present inquiry, I provide a systematic exposition of empirical conceptual analysis, so understood, considering what exactly empirical conceptual analysis is, the different kinds of empirical conceptual analysis, and the main application of the method within philosophy. It can be defined (...) as a method that consists in drawing a conclusion about the semantic application conditions of a predicate on the basis of observation of the manifestations of semantic intuitions. The different kinds of empirical conceptual analysis are distinguished according to the way the manifestations of semantic intuitions are observed. The main application of the method is solving conceptual disputes – situations in which different competent speakers of a language disagree about the semantic application conditions of a predicate from that language, and their disagreement is caused by the fact that they have different semantic intuitions about that predicate. (shrink)

In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...) Our results suggest that this corpus has evidential value, although there are hints of p-hacking in a few parts of the x-phi corpus. (shrink)

John D. Norton defends an empiricist epistemology of thought experiments, the central thesis of which is that thought experiments are nothing more than arguments. Philosophers have attempted to provide counterexamples to this claim, but they haven’t convinced Norton. I will point out a more fundamental reason for reformulation that criticizes Norton’s claim that a thought experiment is a good one when its underlying logical form possesses certain desirable properties. I argue that by Norton’s empiricist standards, no thought experiment is ever (...) justified in any deep sense due to the properties of its logical form. Instead, empiricists should consider again the merits of evaluating thought experiments more like laboratory experiments, and less like arguments. (shrink)

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...) such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)