The paper considers our ordinary mentalistic discourse in relation to what we should expect from any genuine science of the mind. A meta-scientific eliminativism is commended and distinguished from the more familiar eliminativism of Skinner and the Churchlands. Meta-scientific eliminativism views folk psychology qua folksy as unsuited to offer insight into the structure of cognition, although it might otherwise be indispensable for our social commerce and self-understanding. This position flows from a general thesis that scientific advance is marked by an (...) eschewal of folk understanding. The latter half of the paper argues that, contrary to the received view, Chomsky's review of Skinner offers not just an argument against Skinner's eliminativism, but, more centrally, one in favour of the second eliminativism. (shrink)

My aim in this chapter is to extend the Realist account of the foundations of linguistics offered by Postal, Katz and others. I first argue against the idea that naive Platonism can capture the necessary requirements on what I call a ‘mixed realist’ view of linguistics, which takes aspects of Platonism, Nominalism and Mentalism into consideration. I then advocate three desiderata for an appropriate ‘mixed realist’ account of linguistic ontology and foundations, namely (1) linguistic creativity and infinity, (2) linguistics as (...) a theory of types (and not tokens) and (3) independence but structural respect between language and the linguistic competence thereof. My own brand of mixed realism, what I call ante rem realism, is defended along the lines of an ante rem or non-eliminative structuralism, the likes of which has been offered for mathematics by Resnik (1997) and Shapiro (1997). In other words, grammars describe a mind-independent (but not necessarily unconnected) linguistic reality in terms of linguistic patterns or structures also known as natural languages. I further amend this picture to allow for the possibility of a naturalistic account of language acquisition and evolution by arguing against a particular view of the type-token distinction. (shrink)

In this article, I argue that if tacit knowledge of grammar is analyzable in functional‐computational terms, then it cannot ground linguistic meaning, structure, or sound. If to know or cognize a grammar is to be in a certain computational state playing a certain functional role, there can be no unique grammar cognized. Satisfying the functional conditions for cognizing a grammar G entails satisfying those for cognizing many grammars disagreeing with G about expressions' semantic, phonetic, and syntactic values. This threatens the (...) Chomskyan view that expressions have such values for speakers because they cognize grammars assigning them those values. For if this is true, semantics, syntax, and phonology must be indeterminate, thanks to the indeterminacy of grammar‐cognizing (qua functional‐computational state). So, the fact that a speaker cognizes a grammar cannot explain the determinate character of their language. (shrink)

The victories of the Go-playing artificial intelligence “AlphaGo” against professional player Lee Sedol in 2016 had a profound impact on public and academic perceptions of AI. This event shocked observers, as the ability of a machine to defeat a world champion human in a highly complex game seemed to indicate that a machine had achieved human-like—or more than human—intelligence. But why was AlphaGo so readily anthropomorphized by academic and non-academic audiences alike? Drawing from existing analyses of reactions to and arguments (...) concerning AlphaGo and AI generally, this paper argues that “generative” cognitive science—a school of thought exemplified by the linguistic work of Noam Chomsky—offers two novel contributions to this subject. First, generativism sheds light on an irrational double standard in the study of the human mind in contrast to the study of non-cognitive systems—“methodological dualism”—which, I argue, has been transferred to evaluations of AlphaGo and other AI. Second, by exposing this irrational double standard in perceptions of AI, I employ generativism’s more well-known arguments concerning the nature of human intelligence and its scientific study to the evaluation of AI, exposing deficient interpretations widely used in the case of AlphaGo and AI generally. (shrink)

I argue that theoretical developments in the study of the Universal Declaration of Human Rights (UDHR) should occur alongside progress in moral psychology, particularly moral cognition. More specifically, I argue that Universal Moral Grammar (UMG), a model positing an innate, regulative, and universal moral faculty characterizable in terms of rules and principles, fulfills the role of the foundational model needed to usefully conceptualize the UDHR. As such, I provide a detailed account of UMG against competing models in moral psychology. Furthermore, (...) I combine UMG with Talbott’s Historical-Social Process of Moral Discovery and Rawls’s reflective equilibrium to show how the UDHR represents a major development in moral exploration, one indicating a more penetrative look into the inner moral nature of humans that attempts to reach, but does not attain, one interpretation of reflective equilibrium tied to cognitive moral psychology. (shrink)