Online research in philosophy

The paper aims to develop a resemblance theory of properties that technically improves on past versions. The theory is based on a comparative resemblance predicate. In combination with other resources, it solves the various technical problems besetting resemblance nominalism. The paper’s second main aim is to indicate that previously proposed resemblance theories that solve the technical problems, including the comparative theory, are nominalistically unacceptable and have controversial philosophical commitments.

There are two major theories of properties that employ resemblance classes to avoid commitment to universals.1 Object-resemblance nominalism ~ORN! faces the notorious companionship and imperfect community difficulties, though some costly remedies have been proposed. Trope-resemblance nominalism ~TRN!, in contrast, is commonly supposed to avoid these difficulties altogether. My contention is that both versions of resemblance nominalism are subject to companionship and imperfect community difficulties. If I am right, ~1! trope theory loses one of its primary selling points, and ~2! resemblance nominalists of either type must appeal to the troublesome remedies that I discuss below.

It is a platitude that whereas language is mediated by convention, depiction is mediated by resemblance. But this platitude may be attacked on the grounds that resemblance is either insufficient for or incidental to depictive representation. I defend common sense from this attack by using Grice's analysis of meaning to specify the non-incidental role of resemblance in depictive representation.

The introduction of the notion of family resemblance represented a major shift in Wittgenstein’s thoughts on the meaning of words, moving away from a belief that words were well defined, to a view that words denoted less well defined categories of meaning. This paper presents the use of the notion of family resemblance in the area of machine learning as an example of the benefits that can accrue from adopting the kind of paradigm shift taken by Wittgenstein. The paper presents a model capable of learning exemplars using the principle of family resemblance and adopting Bayesian networks for a representation of exemplars. An empirical evaluation is presented on three data sets and shows promising results that suggest that previous assumptions about the way we categories need reopening.

According to the partial identity account of resemblance, exact resemblance is complete identity and inexact resemblance is partial identity. In this paper, I examine Arda Denkel's (1998) argument that this account of resemblance is logically incoherent as it results in a vicious regress. I claim that although Denkel's argument does not succeed, a modified version of it leads to the conclusion that the partial identity account is plausible only if the constituents of every determinate property are ultimately quantitative in nature.

In his (2002) Gonzalo Rodriguez-Pereyra provides a powerful articulation of the claim that Resemblance Nominalism provides the best answer to the so-called Problem of Universals. Resemblance Nominalism has not been popular for some time, and one influential reason for this is the widespread belief that Resemblance Nominalism cannot dispense with all universals. The realist critics appeal to what is known as Russell’s Regress (cf. Russell 1997). If properties are to be explained in terms of one object’s resembling another, then this seems to leave the relational property of resemblance itself unexplained. The critics’ objection is that this property itself must be explained by a dyadic universal of resemblance.

Depiction is the form of representation distinctive of figurative paintings, drawings, and photographs. Accounts of depiction attempt to specify the relation something must bear to an object in order to depict it. Resemblance accounts hold that the notion of resemblance is necessary to the specification of this relation. Several difficulties with such analyses have led many philosophers to reject the possibility of an adequate resemblance account of depiction. This essay outlines these difficulties and argues that current resemblance accounts succumb to them. It then develops an alternative resemblance account, drawing on Grice's account of nonnatural meaning and its role in determining sentence meaning to argue that something depicts an object if it bears intention-based resemblances to the object that jointly capture its overall appearance. In addition to solving the metaphysical problem of what it is for something to depict an object, this account also sheds significant light on the epistemological issue of how we are able to work out that something depicts an object. This essay argues that our ability to work out that something depicts an object results from both our more general ability to identify intentions from the products of communicative behavior and our knowledge of stylistic conventions. This account avoids the difficulties that face rival attempts to analyze depiction in terms of resemblance. It also clarifies and explains the features that distinguish depictive from nondepictive representation.

Resemblance Nominalism is the view that denies universals and tropes and claims that what makes F-things F is their resemblances. A famous argument against Resemblance Nominalism is Russell's regress of resemblances, according to which the resemblance nominalist falls into a vicious infinite regress. Aristocratic Resemblance Nominalism, as opposed to Egalitarian Resemblance Nominalism, is the version of Resemblance Nominalism that claims that what makes F-things F is that they resemble the F-paradigms. In this paper I attempt to show that a recently advocated strategy to stop Russell's regress by using paradigms does not succeed.

Wittgenstein emphasizes two points concerning his notion of family resemblance. One is that the use of a family resemblance expression resists characterization by certain kinds of rules; the other is that due to the prevalence of family resemblance in the philosophical lexicon, philosophical inquiry must in many cases proceed differently from how it traditionally has. This paper develops an interpretation of family resemblance that seeks to do justice to these claims. I argue that what is characteristic about family resemblance expressions is not that they exhibit a basic semantic feature unique to themselves, but that they combine a number of semantic properties that happen not to be coinstantiated elsewhere. These features include (1) content variability (also a property of ambiguous expressions, polysemes, and standard indexicals), (2) a feature I call "topicality" (which is also a characteristic of polysemes), and (3) "semantic openness" (a feature of many ordinary indexicals). The notions of topicality and semantic openness are explained, and certain terms of natural language are shown to be family resemblance expressions. I conclude by indicating some of the potential philosophical ramifications of these results.