This paper offers a critical review of Edouard Machery's Doing Without Concepts, with a particular emphasis on an approach to concept individuation that is consistent with many of Machery's arguments but has the potential to avoid his eliminativist conclusion. The approach agrees with Machery's claims to the effect that prototypes, exemplars, theories (and so on) form a heterogeneous class, but construes these theoretical entities as implementing a unified, albeit coarse-grained, notion of a concept.

Although cognitive scientists have learned a lot about concepts, their findings have yet to be organized in a coherent theoretical framework. In addition, after twenty years of controversy, there is little sign that philosophers and psychologists are converging toward an agreement about the very nature of concepts.Doing without Concepts(Machery 2009) attempts to remedy this state of affairs. In this article, I review the main points and arguments developed at greater length inDoing without Concepts.

In this précis, I review the main points and arguments developed at greater length in Doing without Concepts, and I explain why eliminating the notion of concept would contribute to the progress of the psychology of higher cognition.

Although cognitive scientists have learned a lot about concepts, their findings have yet to be organized in a coherent theoretical framework. In addition, after twenty years of controversy, there is little sign that philosophers and psychologists are converging toward an agreement about the very nature of concepts. Doing without Concepts (Machery 2009) attempts to remedy this state of affairs. In this article, I review the main points and arguments developed at greater length in Doing without Concepts.

The representations of deep convolutional neural networks (CNNs) are formed from generalizing similarities and abstracting from differences in the manner of the empiricist theory of abstraction (Buckner, Synthese 195:5339–5372, 2018). The empiricist theory of abstraction is well understood to entail infinite regress and circularity in content constitution (Husserl, Logical Investigations. Routledge, 2001). This paper argues these entailments hold a fortiori for deep CNNs. Two theses result: deep CNNs require supplementation by Quine’s “apparatus of identity and quantification” in order to (1) (...) achieve concepts, and (2) represent objects, as opposed to “half-entities” corresponding to similarity amalgams (Quine, Quintessence, Cambridge, 2004, p. 107). Similarity amalgams are also called “approximate meaning[s]” (Marcus & Davis, Rebooting AI, Pantheon, 2019, p. 132). Although Husserl inferred the “complete abandonment of the empiricist theory of abstraction” (a fortiori deep CNNs) due to the infinite regress and circularity arguments examined in this paper, I argue that the statistical learning of deep CNNs may be incorporated into a Fodorian hybrid account that supports Quine’s “sortal predicates, negation, plurals, identity, pronouns, and quantifiers” which are representationally necessary to overcome the regress/circularity in content constitution and achieve objective (as opposed to similarity-subjective) representation (Burge, Origins of Objectivity. Oxford, 2010, p. 238). I base myself initially on Yoshimi’s (New Frontiers in Psychology, 2011) attempt to explain Husserlian phenomenology with neural networks but depart from him due to the arguments and consequently propose a two-system view which converges with Weiskopf’s proposal (“Observational Concepts.” The Conceptual Mind. MIT, 2015. 223–248). (shrink)

This commentary raises two concerns with Machery's approach in Doing without Concepts. The first concern is that it may be possible to preserve a unified theory of concepts by distinguishing facts about concept individuation from facts about cognitive structures and processes. The second concern questions the sharpness of the distinction Machery draws between psychological and philosophical conceptions of concepts.

This paper explores the psychological analogues of a cluster of arguments that have played an important role in motivating a now widespread, reference-based approach in philosophy of language. What I will call the psychological analogues of Kripke-style arguments provide a substantial motivation for a reference-based approach to concepts. Insofar as such an approach is rarely given serious consideration, the availability of these arguments suggests the need for a rethinking of some foundational assumptions in philosophy of mind and other branches of (...) the cognitive sciences. (shrink)

The broad topic of this paper is the relationship between the theoretical notion of a concept and familiar types of cognitive structures (prototypes, exemplars, causal models, etc.) The discussion is organized around different ways that theorists about concepts can attempt to accommodate what has been dubbed the Heterogeneity Hypothesis (roughly: the claim that various types of structures with which concepts have been identified co-exist and form a heterogeneous class). The most general goal of the paper is to clarify the dialectical (...) geography when it comes to different ways of construing the relationship between concepts and familiar cognitive structures. A more focussed and more polemical goal of the paper is to raise problems for so-called pluralist approaches to concepts. This paper will not offer a comprehensive defense of any particular view about the relationship between concepts and cognitive structures, but the discussion will be a convenient venue in which to highlight some virtues of what I will call Higher-Level Unity approaches to concepts. (shrink)