Conceptual Change

In the literature seeking to explain concepts in terms of their point, talk of ‘the point’ of concepts remains under-theorised. I propose a typology of points which distinguishes practical, evaluative, animating, and inferential points. This allows us to resolve tensions such as that between the ambition of explanations in terms of the points of concepts to be informative and the claim that mastering concepts requires grasping their point; and it allows us to exploit connections between types of points to understand (...) why they come apart, and whether they do so for problematic ideological reasons or for benignly functional reasons. (shrink)

This paper offers both exegetical and systematic reconsiderations of Donald Davidson’s view on metaphor. In his essay What Metaphors Mean, Davidson argued against the idea that metaphors have any kind of propositional content beyond the literal meaning of the relevant sentence. Apart from this negative claim, Davidson also made a constructive proposal by suggesting that metaphor’s distinctive effect is to prompt a mental state of seeing-as. These two points seem connected insofar as Davidson makes the following assumptions. First, metaphors cause (...) their distinctive effects in an a-rational way. Second, seeing-as is a nonpropositional mental state. If we side with Davidson in thinking of meaning as rational and propositional, then it follows that metaphors’ distinctive effects cannot be an instance of meaning. They have the wrong format and are brought about in the wrong way. Against this background, I distinguish a strong reading and a modest reading of Davidson’s wrong-kind objection to metaphorical meaning. By taking into account some of Davidson’s later pronouncements on the matter, this paper aims to show that Davidson did not hold on to the strong version of the wrong-kind objection. This would open up the way to conceiving of metaphorical meaning in terms of speaker’s meaning, were it not for the fact that Davidson sticks to the wrong-way objection. The two concluding sections examine the cogency of the wrong-way objection as applied to metaphorical speaker’s meaning, and offer a model for thinking about the a-rational mental causation Davidson thought metaphors exhibit. (shrink)

Examining previous discussions on how to construe the concepts of gender and race, we advocate what we call strategic conceptual engineering. This is the employment of a (possibly novel) concept for specific epistemic or social aims, concomitant with the openness to use a different concept (e.g., of race) for other purposes. We illustrate this approach by sketching three distinct concepts of gender and arguing that all of them are needed, as they answer to different social aims. The first concept serves (...) the aim of identifying and explaining gender-based discrimination. It is similar to Haslanger’s well-known account, except that rather than offering a definition of ‘woman’ we focus on ‘gender’ as one among several axes of discrimination. The second concept of gender is to assign legal rights and social recognitions, and thus is to be trans-inclusive. We argue that this cannot be achieved by previously suggested concepts that include substantial gender-related psychological features, such as awareness of social expectations. Instead, our concept counts someone as being of a certain gender solely based on the person’s self-identification with this gender. The third concept of gender serves the aim of personal empowerment by means of one’s gender identity. In this context, substantial psychological features and awareness of one’s social situation are involved. While previous accounts of concepts have focused on their role in determining extensions, we point to contexts where a concept’s role in explanation and moral reasoning can be more important. (shrink)

Susan Carey's account of Quinean bootstrapping has been heavily criticized. While it purports to explain how important new concepts are learned, many commentators complain that it is unclear just what bootstrapping is supposed to be or how it is supposed to work. Others allege that bootstrapping falls prey to the circularity challenge: it cannot explain how new concepts are learned without presupposing that learners already have those very concepts. Drawing on discussions of concept learning from the philosophical literature, this article (...) develops a detailed interpretation of bootstrapping that can answer the circularity challenge. The key to this interpretation is the recognition of computational constraints, both internal and external to the mind, which can endow empty symbols with new conceptual roles and thus new contents. (shrink)

New concepts are constantly being introduced into our thinking. _Conceptual Systems_ explores how these new concepts are entered into our systems along with sufficient continuity with older ideas to ensure understanding. The encyclopedic breadth of this text highlights the many different aspects and disciplines that together present an insightful view into the various theories of concepts. Harold Brown, a reputable author in the philosophy of science examines several historically influential theories of concepts as well as presenting a clear view on (...) the general theory of conceptual change. Case studies discuss examples of conceptual change in the history of physics including the move in seventeenth century physics from Galileo to Descates to Newton; and the conceptual framework of the 'standard model' in the late twentieth century high-energy physics. The key central themes in the philosophy of science that are explored in detail in this enormous book make it an essential read for academics in this field. (shrink)

The history of concepts is relevant in philosophy because conceptual distinctions fundamentally shape cognition. Because these conceptual distinctions are deeply entrenched in our way of thinking, we are not usually aware of this influence. How we view the world depends crucially on the concepts we have. These concepts, however, are the products of their history. Following Herbart, Gustav Teichmüller viewed philosophy as the systematic analysis and refinement of concepts. Refining concepts in such a way allows us to make new distinctions, (...) or to transform or abandon old ones. In contrast to Herbart, Teichmüller emphasized that this process presupposes detailed historical studies. This does not mean, however, that Teichmüller embraced a kind of historicism---the view that philosophy and its history are one and the same thing. On the contrary, he derogatorily referred to such a view as "historical psychology". Rather, the history of concepts in Teichmüller's sense has to be understood as a history of problems which are reflected in conceptual distinctions. This means that the history of concepts, which brings to light explicit and implicit distinctions, can be applied as a kind of hermeneutics of world views---as the basis on which we can systematically reconstruct concepts in a new light. It is the aim of this presentation to unfold such an understanding of the history of concepts in view of Teichmüller's contribution to it. (shrink)

Concepts are widely agreed to be the basic constituents of thought. Amongst philosophers and psychologists, however, the question of how concepts are structured has been a longstanding problem and a locus of disagreement. I draw on recent work describing how representational content is ascribed to populations of neurons to develop a novel solution to this problem. Because disputes over the structure of concepts often reflect divergent explanatory goals, I begin by arguing for a set of six criteria that a good (...) theory ought to accommodate. These criteria address philosophical concerns related to content, reference, scope, publicity, and compositionality, and psychological concerns related to categorization phenomena and neural plausibility. Next, I evaluate a number of existing theoretical approaches in relation to these six criteria. I consider classical views that identify concepts with definitions, similarity-based views that identify concepts with prototypes or exemplars, theory-based views that identify concepts with explanatory schemas, and atomistic views that identify concepts with unstructured mental symbols that enter into law-like relations with their referents. I conclude that none of these accounts can satisfactorily accommodate all of the criteria. I then describe the theory of representational content that I employ to motivate a novel account of concept structure. I briefly defend this theory against competitors, and I describe how it can be scaled from the level of basic perceptual representations to the level of highly complex conceptual representations. On the basis of this description, I contend that concepts are structured dynamically through sets of transformations of single source representation, and that the content of a given concept specifies the set of potential transformations it can enter into. I conclude by demonstrating that the ability of this account to meet all of the criteria introduced beforehand. I consider objections to my views throughout. (shrink)

New concepts are constantly being introduced into our thinking. _Conceptual Systems_ explores how these new concepts are entered into our systems along with sufficient continuity with older ideas to ensure understanding. The encyclopedic breadth of this text highlights the many different aspects and disciplines that together present an insightful view into the various theories of concepts. Harold Brown, a reputable author in the philosophy of science examines several historically influential theories of concepts as well as presenting a clear view on (...) the general theory of conceptual change. Case studies discuss examples of conceptual change in the history of physics including the move in seventeenth century physics from Galileo to Descates to Newton; and the conceptual framework of the 'standard model' in the late twentieth century high-energy physics. The key central themes in the philosophy of science that are explored in detail in this enormous book make it an essential read for academics in this field. (shrink)

In her recent (2009) book, The Origins of Concepts, Susan Carey argues that what she calls ‘Quinean Bootstrapping’ and processes of analogy in children show that the expressive power of a mind can be increased in ways that refute Jerry Fodor's (1975, 2008) ‘Mad Dog’ view that all concepts are innate. I argue that it is doubtful any evidence about the manifestation of concepts in children will bear upon the logico-semantic issues of expressive power. Analogy and bootstrapping may be ways (...) to bring about the former, but only by presupposing the very expressive powers Carey is claiming they explain. Analogies must be understood, and bootstrapping involves confirmation of hypotheses already expressible; otherwise they can't select among an infinitude of hypotheses compatible with the finite data the child has encountered, a fact rendered vivid by Goodman's ‘grue’ paradox and Chomsky's poverty of stimulus argument. The problems have special application to minds, since there is no reason to expect a child's concepts to be ‘projectible’ or to correspond to mind-independent natural kinds. I conclude with an ecumenical view that concepts are reasonably regarded as both innate and often learned, and that what is learned can in fact increase what really concerns Carey, the functioning psychological expressive power of the child, even if it leaves untouched what concerns Fodor, the semantic expressive power. Less ecumenically: maybe Fodor (2008) miscast the debate, and the real issue that bothers people concerns not nativism, but an issue on which Carey and Fodor surprisingly agree, his conceptual Atomism, or the view that all mono-morphemic concepts are primitive and unanalyzable. The issue deserves further discussion independently of Mad-doggery. (shrink)

In contrast to symbolic or associationist representations, I advocate a third form of representing information that employs geometrical structures. I argue that this form is appropriate for modelling concept learning. By using the geometrical structures of what I call conceptual spaces, I define properties and concepts. A learning model that shows how properties and concepts can be learned in a simple but naturalistic way is then presented. I also discuss the advantages of the geometric approach over the symbolic and associationist (...) traditions. (shrink)

A theory of how concept formation begins is presented that accounts for conceptual activity in the first year of life, shows how increasing conceptual complexity comes about, and predicts the order in which new types of information accrue to the conceptual system. In a compromise between nativist and empiricist views, it offers a single domain-general mechanism that redescribes attended spatiotemporal information into an iconic form. The outputs of this mechanism consist of types of spatial information that we know infants attend (...) to in the first months of life. These primitives form the initial basis of concept formation, allow explicit preverbal thought, such as recall, inferences, and simple mental problem solving, and support early language learning. The theory details how spatial concepts become associated with bodily feelings of force and trying. It also explains why concepts of emotions, sensory concepts such as color, and theory of mind concepts are necessarily later acquisitions because they lack contact with spatial descriptions to interpret unstructured internal experiences. Finally, commonalities between the concepts of preverbal infants and nonhuman primates are discussed. (shrink)

This thesis aims to develop a psychologically plausible account of concepts by integrating key insights from philosophy (on the metaphysical basis for concept possession) and psychology (on the mechanisms underlying concept acquisition). I adopt an approach known as informational atomism, developed by Jerry Fodor. Informational atomism is the conjunction of two theses: (i) informational semantics, according to which conceptual content is constituted exhaustively by nomological mind–world relations; and (ii) conceptual atomism, according to which (lexical) concepts have no internal structure. I (...) argue that informational semantics needs to be supplemented by allowing content-constitutive rules of inference (“meaning postulates”). This is because the content of one important class of concepts, the logical terms, is not plausibly informational. And since, it is argued, no principled distinction can be drawn between logical concepts and the rest, the problem that this raises is a general one. An immediate difficulty is that Quine’s classic arguments against the analytic/synthetic distinction suggest that there can be no principled basis for distinguishing content-constitutive rules from the rest. I show that this concern can be overcome by taking a psychological approach: there is a fact of the matter as to whether or not a particular inference is governed by a mentally-represented inference rule, albeit one that analytic philosophy does not have the resources to determine. I then consider the implications of this approach for concept acquisition. One mechanism underlying concept acquisition is the development of perceptual detectors for the objects that we encounter. I investigate how this might work, by drawing on recent ideas in ethology on ‘learning instincts’, and recent insights into the neurological basis for perceptual learning. What emerges is a view of concept acquisition as involving a complex interplay between innate constraints and environmental input. This supports Fodor’s recent move away from radical concept nativism: concept acquisition requires innate mechanisms, but does not require that concepts themselves be innate. (shrink)

In contrast to symbolic or associationist representations, I advocate a third form of representing information that employs geometrical structures. I argue that this form is appropriate for modelling concept learning. By using the geometrical structures of what I call conceptual spaces, I define properties and concepts. A learning model that shows how properties and concepts can be learned in a simple but naturalistic way is then presented. I also discuss the advantages of the geometric approach over the symbolic and associationist (...) traditions. (shrink)

My dissertation is concerned with philosophical problems that attend to our capacity to acquire concepts. Philosophical problems with learning are not new, however, they are especially acute when applied to concept acquisition. What I hope to show is that we can offer an account of concepts which at once overcomes our concerns about first concept acquisition and is nevertheless compatible with the view that concepts are acquired through rational learning mechanisms. Towards this end I consider both cognitivist and noncognitivist theories (...) of concept acquisition. Fodor's noncognitivism fails, I argue, because it requires an untenable nativism, whereas I suggest that Block's theory of concepts makes rational learning impossible. ;To solve this problem, I argue that concepts can be split into two component parts, an ontological classifier and a recognitional criterion. The OC is a kind of sortal term that designates the kind classification for a given concept, what sort of thing it refers to. The RC gives us information relative to our environment that enables us to pick out the referent of the concept. ;But how do we acquire concepts of this type? If every concept of a thing requires a kind of sortal, we would face a regress if we tried to claim that all concepts are learned. However, it seems clear that at least some concepts aren't learned. Our first cognitive steps, I maintain, are a function of the innate classificatory schema that children appear to possess very early in infancy. Cognitive psychologists have begun to show that infants and very young children appear to make specific assumptions about the nature of individual objects and kinds that populate their world. Children have concepts of objects and causes, of particular relations amongst kinds and their numbers, and as such make inferences about what can be expected from their future interactions with those objects. These early sortal classifications correspond very closely to the sorts of ontological classifiers adults employ in making kind determinations. I argue that these classifiers work in combination with the child's rudimentary perceptual or recognitional skills to outline individuals or substances as of various types. Construals of individual type classifications can be bound to other identificatory criteria to form new classifiers and hence new possibilities for rational concept acquisition. (shrink)

In my thesis, I argue that the philosophical and psychological study of concept-learning mechanisms has failed to take the diversity of learning mechanisms into account, and that consequently researchers should embrace a new way of thinking about concept learning: `concept learning' as a class of psychological mechanisms is not a natural kind lending itself to unified study and should be eliminated. To arrive at this, I discuss several concept-learning models that attempt to overcome Jerry Fodor's challenge and base my judgement (...) on the plurality of feasible concept-learning mechanisms and on criteria for theoretical notions from the philosophy of science. Chapter 1 serves as an introduction to the topic `concept learning' and highlights its importance as a research topic in the study of the mind. I argue that a mechanistic understanding of the shape of concept learning is best suited to explain the phenomena, in line with the recent resurgence of mechanism-based explanation in the philosophy of mind. As the main challenge to the idea that concepts can be learnt, I proceed to set up Fodor's challenge for concept learning in Chapter 2. This challenge is the idea that concepts cannot be learnt given the logically possible mechanisms of concept learning. I lay out the argumentative structure and background assumptions that support Fodor's argument, and propose to scrutinise his empirically based premise most closely in my thesis: this empirically based premise is that the only possible mechanism of concept learning is the process of forming and testing hypotheses. As replies to Fodor's challenge, I discuss Perceptual Learning , Perceptual Meaning Analysis , Quinean Bootstrapping , pattern-governed learning , joint-attentional learning , and the Syndrome-Based Sustaining Mechanism Model . I argue that almost every mechanism I discuss has some leverage against Fodors argument, suggesting that there may be a wide variety of non-hypothesis-based concept-learning mechanisms. The final chapter of my thesis, Chapter 7, takes a step back and reviews the fate of the notion of concept learning in light of the diverse set of learning mechanisms brought up in my thesis. My first and main worry is that it is questionable whether the previously discussed mechanisms of concept learning share many scientifically relevant properties that would justify seeing them as instances of the natural kind 'concept learning mechanism'. I argue that the substantiation of this worry would necessitate the elimination of 'concept learning' and 'concept-learning mechanism' as terms of the cognitive sciences. The chapter lays out the argumentative structure on which Concept Learning Eliminativism rests, along with a discussion of questions about natural kinds and pragmatics in theory construction. This is inspired by Edouard Machery's argument for the elimination of 'concept', but independent of Machery's own project. With this in place, I go on to give a conclusive argument that supports CLE, based on the claims that 'concept learning' is not a natural kind and that there are pragmatic advantages to eliminating 'concept learning'. In this final chapter, I also raise pragmatic considerations that support the argument for CLE, and propose new research directions that could pro t from the eliminativist position. (shrink)

A theory of conceptual development must provide an account of the innate representational repertoire, must characterize how these initial representations differ from the adult state, and must provide an account of the processes that transform the initial into mature representations. In Carey, 2009 (The Origin of Concepts), I defend three theses: 1) the initial state includes rich conceptual representations, 2) nonetheless, there are radical discontinuities between early and later developing conceptual systems, 3) Quinean bootstrapping is one learning mechanism that underlies (...) the creation of new representational resources, enabling such discontinuity. I also claim that the theory of conceptual development developed in The Origin of Concepts addresses two of Fodor's challenges to cognitive science; namely, to show how learning could possibly lead to an increase in expressive power and to defeat Mad Dog Nativism, the thesis that all concepts lexicalized as mono-morphemic words are innate. A recent article by Georges Rey (Mind & Language, 29.2, 2014) argues that my responses to Fodor's challenges fail, because, he says, I fail to distinguish concept possession from manifestation and I do not confront Goodman's new riddle of induction. My response is to show that, and how, new primitives in a language of thought can be learned, that there are easy routes and hard ones to doing so, and that characterizing the learning mechanisms involved is the key to understanding both concept possession and constraints on induction. (shrink)

The alternative offered by Professor Stemmer to cognitivist theories of the process whereby general terms acquire their meaning is criticised in its turn on the grounds that it presents an oversimplified view of the complex processes involved in the acquisition of word meanings.

In this path-breaking work, Paul Thagard draws on history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a ...

Observations from philosophy and psychology heavily favor the Empiricist tenet that many lexical concepts are learned. However, many observations also heavily favor the Nativist tenet that such concepts are representationally atomic. Fodor Representations: Philosophical essays on the foundations of cognitive science, 1981, LOT2: The language of thought revisited, 2008) has famously argued that representationally atomic concepts cannot be learned, at least not learned by hypothesis formation and testing. Concept theorists who want to preserve observations about concept learning have developed acquisition (...) models on which the acquired concepts are either non-atomic or are acquired by a process that doesn’t involve hypothesis formation and testing. I offer a model, Baptizing Meanings for Concepts, in which representationally atomic concepts are learned by hypothesis formation and testing. The concepts are learned by the agent’s hypothesizing the existence of a latent/hidden/imperceptible property in objects to explain the objects’ perceptible similarities. Once a hidden property is hypothesized, a new atomic mental name is assigned to it, and this atomic name becomes the concept. Any connections between the name and the representations involved in linking the name to its referent are stored as contingent. Further experience may give the agent reason to revise its hypotheses about latent properties as explanations for its observations. I discuss a software robot implementation of the BMC process that uses a Bayesian learning network. The implementation provides an existence proof of the possibility of learning representationally atomic concepts by hypothesis formation and testing. (shrink)

The theory of concepts advanced in the dissertation aims at accounting for a) how a concept makes successful practice possible, and b) how a scientific concept can be subject to rational change in the course of history. Traditional accounts in the philosophy of science have usually studied concepts in terms only of their reference; their concern is to establish a stability of reference in order to address the incommensurability problem. My discussion, in contrast, suggests that each scientific concept consists of (...) three components of content: 1) reference, 2) inferential role, and 3) the epistemic goal pursued with the concept's use. I argue that in the course of history a concept can change in any of these three components, and that change in one component—including change of reference—can be accounted for as being rational relative to other components, in particular a concept's epistemic goal. This semantic framework is applied to two cases from the history of biology: the homology concept as used in 19th and 20th century biology, and the gene concept as used in different parts of the 20th century. The homology case study argues that the advent of Darwinian evolutionary theory, despite introducing a new definition of homology, did not bring about a new homology concept (distinct from the pre-Darwinian concept) in the 19th century. Nowadays, however, distinct homology concepts are used in systematics/evolutionary biology, in evolutionary developmental biology, and in molecular biology. The emergence of these different homology concepts is explained as occurring in a rational fashion. The gene case study argues that conceptual progress occurred with the transition from the classical to the molecular gene concept, despite a change in reference. In the last two decades, change occurred internal to the molecular gene concept, so that nowadays this concept's usage and reference varies from context to context. I argue that this situation emerged rationally and that the current variation in usage and reference is conducive to biological practice. The dissertation uses ideas and methodological tools from the philosophy of mind and language, the philosophy of science, the history of science, and the psychology of concepts. (shrink)

Many have held the Acquisition of Concepts Thesis that concept acquisition can change perceptual experience. This paper explains the close relation of ACT to ADT, the thesis that acquisition of dispositions to quickly and reliably recognize a kind of thing can change perceptual experience. It then states a highly developed argument given by Siegel which, if successful, would offer strong support for ADT and indirect support for ACT. Examination of this argument, however, reveals difficulties that undermine its promise. Distinctions made (...) in this examination help to clarify an alternative view that denies ADT and ACT while accepting that long exposure to a class of materials may induce changes in phenomenology that lie outside perceptual experience itself. (shrink)

In LOT 2: The Language of Thought Revisited, Jerry Fodor argues that concept learning of any kind—even for complex concepts—is simply impossible. In order to avoid the conclusion that all concepts, primitive and complex, are innate, he argues that concept acquisition depends on purely noncognitive biological processes. In this paper, we show that Fodor fails to establish that concept learning is impossible, that his own biological account of concept acquisition is unworkable, and that there are in fact many promising general (...) models for explaining how concepts are learned. (shrink)