According to the most common interpretation of the simulation argument, we are very likely to live in an ancestor simulation. It is interesting to ask if some families of simulations are more likely than others inside the space of all simulations. We argue that a natural probability measure is given by computational complexity: easier simulations are more likely to be run. Remarkably this allows us to extract experimental predictions from the fact that we live in a simulation. For instance we (...) show that it is very likely that humanity will not achieve interstellar travel and that humanity will not meet other intelligent species in the universe, in turn explaining the Fermi's Paradox. On the opposite side, experimental falsification of any of these predictions would constitute evidence against our reality being a simulation. (shrink)

From the late 1950s until 1975, cognition was understood mainly as disembodied symbol manipulation in cognitive psychology, linguistics, artificial intelligence, and the nascent field of Cognitive Science. The idea of embodied cognition entered the field of Cognitive Linguistics at its beginning in 1975. Since then, cognitive linguists, working with neuroscientists, computer scientists, and experimental psychologists, have been developing a neural theory of thought and language (NTTL). Central to NTTL are the following ideas: (a) we think with our brains, that is, (...) thought is physical and is carried out by functional neural circuitry; (b) what makes thought meaningful are the ways those neural circuits are connected to the body and characterize embodied experience; (c) so-called abstract ideas are embodied in this way as well, as is language. Experimental results in embodied cognition are seen not only as confirming NTTL but also explained via NTTL, mostly via the neural theory of conceptual metaphor. Left behind more than three decades ago is the old idea that cognition uses the abstract manipulation of disembodied symbols that are meaningless in themselves but that somehow constitute internal “representations of external reality” without serious mediation by the body and brain. This article uniquely explains the connections between embodied cognition results since that time and results from cognitive linguistics, experimental psychology, computational modeling, and neuroscience. (shrink)

. Against modernist illusions: why we need more democratic and constructivist alternatives to debunking conspiracy theories. Journal for Cultural Research: Vol. 25, What should academics do about conspiracy theories? Moving beyond debunking to better deal with conspiratorial movements, misinformation and post-truth., pp. 104-122.

With his customary incisiveness, W. V. Quine presents logic as the product of two factors, truth and grammar--but argues against the doctrine that the logical truths are true because of grammar or language. Rather, in presenting a general theory of grammar and discussing the boundaries and possible extensions of logic, Quine argues that logic is not a mere matter of words.

Fact checking has become a prominent facet of political news coverage, but it employs a variety of objectionable methodological practices, such as treating a statement containing multiple facts as if it were a single fact and categorizing as accurate or inaccurate predictions of events yet to occur. These practices share the tacit presupposition that there cannot be genuine political debate about facts, because facts are unambiguous and not subject to interpretation. Therefore, when the black-and-white facts—as they appear to the fact (...) checkers—conflict with the claims produced by politicians, the fact checkers are able to see only (to one degree or another) “lies.” The examples of dubious fact-checking practices that we discuss show the untenability of the naïve political epistemology at work in the fact-checking branch of journalism. They may also call into question the same epistemology in journalism at large, and in politics. (shrink)

With this special issue, we would like to promote research on changes in the funding of the sciences, social sciences, and humanities. Since funding secures the livelihood of researchers and the means to do research, it is an indispensable condition for almost all research; as funding arrangements are undergoing dramatic changes, we think it timely to renew the science studies community’s efforts to understand the funding of research. Changes in the governance of science have garnered considerable attention from science studies (...) and higher education research; however, the impact of these changes on the conduct and content of research has not received sufficient attention, and theoretical insights into the connections between funding practices and research practices are few and far between. The aim of this special issue is to contribute to our theoretical understanding of the changing nature of research funding and its impact on the production of scientific knowledge. More specifically, we are interested in the interplay between funding and research practices: What is the impact of institutionalised funding arrangements on the production of scientific knowledge? (shrink)