Kent Johnson

(? - 2017)

We examine the pros and cons of color realism, exposing some desiderata on a theory of color: the theory should render colors as scientifically legitimate and correctly individuated, and it should explain how we have veridical color experiences. We then show that these desiderata can by met by treating colors as properties of the special sciences. According to our view, some of the major as properties of the special sciences. According to our view, some of the major disputes in the literature about color -- anti-realism versus dispositionalism versus reductionism -- are not well-founded at this stage of scientific inquiry. Our account of color is designed to be of use in the sciences and as such is driven largely by considerations of what the various sciences need in order to proceed appropriately. We argue that a scientific theory of colors need not regard colors as anything more than high-level statistical constructs built out of correlations between color experiences and other phenomena

The empirical nature of our understanding of language is explored. I first show that there are several important and different distinctions between tacit and accessible awareness. I then present empirical evidence concerning our understanding of language. The data suggests that our awareness of sentence-meanings is sometimes merely tacit according to one of these distinctions, but is accessible according to another. I present and defend an interpretation of this mixed view. The present project is shown to impact on several diverse areas, including inferential role semantics and holism, the nature of learning, and the role of linguistics in the law.

The structure of words is often thought to provide important evidence regarding the structure of concepts. At the same time, most contemporary linguists posit a great deal of structure in words. Such a trend makes some atomists about concepts uncomfortable. The details of linguistic methodology undermine several strategies for avoiding positing structure in words. I conclude by arguing that there is insufficient evidence to hold that word-structure bears any interesting relation to the structure of concepts.

A common assumption in metaphysics and the philosophy of language is that the general structure of language displays the general metaphysical structure of the things we talk about. But expressions can easily be imperfect representations of what they are about. After clarifying this general point, I make a case study of a recent attempt to semantically analyze the nature of knowledge-how. This attempt fails because there appears to be no plausible bridge from the linguistic structure of knowledge-how reports to knowledge-how itself. I then gesture at some other places where the connection between linguistics and metaphysics is commonly, but illegitimately, assumed

Provided we agree about the thing, it is needless to dispute about the terms. —David Hume, A treatise of human nature, Book 1, section VIIMap-like representations are frequently invoked as an alternative type of representational vehicle to a language of thought. This view presupposes that map-systems and languages form legitimate natural kinds of cognitive representational systems. I argue that they do not, because the collections of features that might be taken as characteristic of maps or languages do not themselves provide scientifically useful information above and beyond what the individual features provide. To bring this out, I sketch several allegedly distinctive features of maps, and show how they can easily be grafted onto a simple logical language, resulting in a hybrid “manguage.” The ease with which these linguistic and map-like properties can be integrated into a single representational system raises the question of what work broader categories like language and map are doing. I maintain..

In this paper, I examine William Whewell’s (1794–1866) ‘Discoverer’s Induction’, and argue that it 21 supplies a strikingly accurate characterization of the logic behind many statistical methods, exploratory 22 data analysis (EDA) in particular. Such methods are additionally well-suited as a point of evaluation of 23 Whewell’s philosophy since the central techniques of EDA were not invented until after Whewell’s death, 24 and so couldn’t have influenced his views. The fact that the quantitative details of some very general 25 methods designed to suggest hypotheses would so closely resemble Whewell’s views of how theories 26 are formed is, I suggest, a strongly positive comment on these views.

Methodological dualism in linguistics occurs when its theories are subjected to standards that are inappropriate for them qua scientific theories. Despite much opposition, methodological dualism abounds in contemporary thinking. In this paper, I treat linguistics as a scientific activity and explore some instances of dualism. By extracting some ubiquitous aspects of scientific methodology from its typically quantitative expression, I show that two recent instances of methodologically dualistic critiques of linguistics are ill-founded. I then show that there are nonetheless some divergences between linguistic and other ordinary scientific methods, reflecting yet a third instance of methodological dualism.

This article argues that the much-maligned ‘notational variants’ of a given formal linguistic theory play a role similar to alternative numerical measurement scales. Thus, they can be used to identify the invariant components of the grammar; i.e., those features that do not depend on the choice of empirically equivalent representation. Treating these elements as the ‘meaningful’ structure of language has numerous consequences for the philosophy of science and linguistics. I offer several such examples of how linguistic theorizing can profit from adopting a measurement-theoretic viewpoint. The first concerns a measurement-theoretic response to a famous criticism of Quine's. Others follow from issues of simplicity in the current biolinguistics program. An unexpected similarity with behaviorist practices is also uncovered. I then argue that managable and useful steps can be taken in this area.

This paper motivates using explicit methods in linguistics by attempting to estimate the size of a linguistic data set. Such estimations are difficult because redundant data can easily pad the data set. To address this, I offer some explicit operationalizations of the data and their features. But for linguistic data, negative associations don’t indicate true redundancy, and yet for many measures they can be mathematically impossible to ignore. It is proven that this troublesome phenomenon has positive Lebesgue measure, is monotonically increasing, and that these two features hold robustly in four different ways

Famously, scientific theories are underdetermined by their evidence. This occurs in the factor analytic model, which is often used to connect concrete data to hypothetical notions. After introducing FA, three general topics are addressed. Underdetermination: the precise reasons why FA is underdetermined illuminates various claims about underdetermination, abduction, and theoretical terms. Uncertainties: FA helps distinguish at least four kinds of uncertainties. The prevailing practice, often encoded in statistical software, is to ignore the most difficult kinds, which are essential to FA's underdetermination. What to do: some suggestions for dealing with these hardest types of uncertainty are offered