Mechanistic accounts of explanation have recently found popularity within philosophy of science. Presently, we introduce the idea of an extended mechanistic explanation, which makes explicit room for the role of environment in explanation. After delineating Craver and Bechtel’s account, we argue this suggestion is not sufficiently robust when we take seriously the mechanistic environment and modeling practices involved in studying contemporary complex biological systems. Our goal is to extend the already profitable mechanistic picture by pointing out the importance of the (...) mechanistic environment. It is our belief that extended mechanistic explanations, or mechanisms that take into consideration the temporal sequencing of the interplay between the mechanism and the environment, allow for mechanistic explanations regarding a broader group of scientific phenomena. (shrink)

The slogan ‘anything goes’ first appears in Paul Feyerabend’s book Against Method at the end of the first chapter. Since that time, philosophical literature has been peppered with criticism and cries of outrage towards Feyerabend’s call for anarchy. Many have speculated on what exactly was meant by the slogan and even more philosophers and scientists have quickly discarded Feyerabend’s antidote as the obvious ramblings of a madman.In this essay, I will argue that Paul Feyerabend does not promote complete anarchy, contrary (...) to his critics. Upon closer examination, it becomes clear that Feyerabend promotes methodological and theoretical pluralism, and does not call for total chaos. First, I will briefly outline the overwhelmingly cynical yet popular reading of Feyerabend’s anarchical ideas. Unlike other contemporary perspectives, I willthen argue for what I believe to be a much more fair reading of his anarchy as a prescription for the scientific discipline. I will conclude with postulating an overarching and interesting possibility, namely that Feyerabend’s call for anarchy is an attempt to distance philosophy from the scientific domain. (shrink)

Scientific communities as social groupings and the role that such communities play in scientific change and the production of scientific knowledge is currently under debate. I examine theory change as a complex social interaction among individual scientists and the scientific community, and argue that individuals will be motivated to adopt a more radical or innovative attitude when confronted with striking similarities between model systems and a more robust understanding of specialised vocabulary. Two case studies from the biological sciences, Barbara McClintock (...) and Stanley Prusiner, help motivate the idea that sharing of models and specialised vocabulary fill the gap between discovery and scientific change by promoting the dispersal of important information throughout the scientific community. (shrink)