Gleitman and Trueswell’s “The easy words” forms a pair with their earlier paper, “Hard words,” completing a circle in which the authors ask how “easy” words (e.g., concrete nouns) are learned. They take up the hypothesis of “cross‐situational learning,” and argue that accumulating observations actually hinders learning if the mechanism requires holding all exemplars in memory over time. They present an alternative hypothesis, “Propose but Verify,” wherein people use one‐trial learning to confirm or disconfirm their current hypothesis—a mechanism distinctly different (...) from cross‐situational learning. (shrink)

This paper addresses a fundamental line of research in neuroscience: the identification of a putative neural processing core of the cerebral cortex, often claimed to be “canonical”. This “canonical” core would be shared by the entire cortex, and would explain why it is so powerful and diversified in tasks and functions, yet so uniform in architecture. The purpose of this paper is to analyze the search for canonical explanations over the past 40 years, discussing the theoretical frameworks informing this research. (...) It will highlight a bias that, in my opinion, has limited the success of this research project, that of overlooking the dimension of cortical development. The earliest explanation of the cerebral cortex as canonical was attempted by David Marr, deriving putative cortical circuits from general mathematical laws, loosely following a deductive-nomological account. Although Marr’s theory turned out to be incorrect, one of its merits was to have put the issue of cortical circuit development at the top of his agenda. This aspect has been largely neglected in much of the research on canonical models that has followed. Models proposed in the 1980s were conceived as mechanistic. They identified a small number of components that interacted as a basic circuit, with each component defined as a function. More recent models have been presented as idealized canonical computations, distinct from mechanistic explanations, due to the lack of identifiable cortical components. Currently, the entire enterprise of coming up with a single canonical explanation has been criticized as being misguided, and the premise of the uniformity of the cortex has been strongly challenged. This debate is analyzed here. The legacy of the canonical circuit concept is reflected in both positive and negative ways in recent large-scale brain projects, such as the Human Brain Project. One positive aspect is that these projects might achieve the aim of producing detailed simulations of cortical electrical activity, a negative one regards whether they will be able to find ways of simulating how circuits actually develop. (shrink)

In this paper we propose a narrative hypothesis on the nature of language and a proto-discursive hypothesis on the origin of our communicative abilities. Our proposal is based on two assumptions. The first assumption, concerning the properties of language, is tied to the idea that global discourse coherence governs the origin of our communicative abilities as well the functioning of these abilities. The second assumption, concerning processing devices, is connected to the idea that the systems of spatial and temporal navigation (...) are implicated in discourse coherence processing. Analysis of the relationship between these two assumptions allows us to integrate the model of language based on clues proposed by Sperber and Wilson with Relevance Theory with the discursive foundation of human communication. In this respect, our proposal can be considered as a tentative extension of Relevance Theory. (shrink)

This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks are discussed; it is argued that only a fully intensional, Meinongian semantics is appropriate for them; and several Meinongian systems are presented.

New and radically reformative thinking about the enactive and embodied basis of cognition holds out the promise of moving forward age-old debates about whether we learn and how we learn. The radical enactive, embodied view of cognition (REC) poses a direct, and unmitigated, challenge to the trademark assumptions of traditional cognitivist theories of mind—those that characterize cognition as always and everywhere grounded in the manipulation of contentful representations of some kind. REC has had some success in understanding how sports skills (...) and expertise are acquired. But, REC approaches appear to encounter a natural obstacle when it comes to understanding skill acquisition in knowledge-rich, conceptually based domains like the hard sciences and mathematics. This paper offers a proof of concept that REC’s reach can be usefully extended into the domain of science, technology, engineering, and mathematics (STEM) learning, especially when it comes to understanding the deep roots of such learning. In making this case, this paper has five main parts. The section “Ancient Intellectualism and the REC Challenge” briefly introduces REC and situates it with respect to rival views about the cognitive basis of learning. The “Learning REConceived: from Sports to STEM?” section outlines the substantive contribution REC makes to understanding skill acquisition in the domain of sports and identifies reasons for doubting that it will be possible to apply the same approach to knowledge-rich STEM domains. The “Mathematics as Embodied Practice” section gives the general layout for how to understand mathematics as an embodied practice. The section “The Importance of Attentional Anchors” introduces the concept “attentional anchor” and establishes why attentional anchors are important to educational design in STEM domains like mathematics. Finally, drawing on some exciting new empirical studies, the section “Seeing Attentional Anchors” demonstrates how REC can contribute to understanding the roots of STEM learning and inform its learning design, focusing on the case of mathematics. (shrink)

Esta enciclopédia abrange, de uma forma introdutória mas desejavelmente rigorosa, uma diversidade de conceitos, temas, problemas, argumentos e teorias localizados numa área relativamente recente de estudos, os quais tem sido habitual qualificar como «estudos lógico-filosóficos». De uma forma apropriadamente genérica, e apesar de o território teórico abrangido ser extenso e de contornos por vezes difusos, podemos dizer que na área se investiga um conjunto de questões fundamentais acerca da natureza da linguagem, da mente, da cognição e do raciocínio humanos, bem (...) como questões acerca das conexões destes com a realidade não mental e extralinguística. A razão daquela qualificação é a seguinte: por um lado, a investigação em questão é qualificada como filosófica em virtude do elevado grau de generalidade e abstracção das questões examinadas (entre outras coisas); por outro, a investigação é qualificada como lógica em virtude de ser uma investigação logicamente disciplinada, no sentido de nela se fazer um uso intenso de conceitos, técnicas e métodos provenientes da disciplina de lógica. O agregado de tópicos que constitui a área de estudos lógico-filosóficos é já visível, pelo menos em parte, no Tractatus Logico-Philosophicus de Ludwig Wittgenstein, uma obra publicada em 1921. E uma boa maneira de ter uma ideia sinóptica do território disciplinar abrangido por esta enciclopédia, ou pelo menos de uma porção substancial dele, é extrair do Tractatus uma lista dos tópicos mais salientes aí discutidos; a lista incluirá certamente tópicos do seguinte género, muitos dos quais se podem encontrar ao longo desta enciclopédia: factos e estados de coisas; objectos; representação; crenças e estados mentais; pensamentos; a proposição; nomes próprios; valores de verdade e bivalência; quantificação; funções de verdade; verdade lógica; identidade; tautologia; o raciocínio matemático; a natureza da inferência; o cepticismo e o solipsismo; a indução; as constantes lógicas; a negação; a forma lógica; as leis da ciência; o número. (shrink)

This paper explores early Australasian philosophy in some detail. Two approaches have dominated Western philosophy in Australia: idealism and materialism. Idealism was prevalent between the 1880s and the 1930s, but dissipated thereafter. Idealism in Australia often reflected Kantian themes, but it also reflected the revival of interest in Hegel through the work of ‘absolute idealists’ such as T. H. Green, F. H. Bradley, and Henry Jones. A number of the early New Zealand philosophers were also educated in the idealist tradition (...) and were influential in their communities, but produced relatively little. In Australia, materialism gained prominence through the work of John Anderson, who arrived in Australia in 1927, and continues to be influential. John Anderson had been a student of Henry Jones, who might therefore be said to have influenced both main strands of Australian philosophical thought. (shrink)

Enactivist (Embodied, Embedded, etc.) approaches in cognitive science and philosophy of mind are sometimes, though not always, conjoined with an anti-representational commitment. A weaker anti-representational claim is that ascribing representational content to internal/sub-personal processes is not compulsory when giving psychological explanations. A stronger anti-representational claim is that the very idea of ascribing representational content to internal/sub-personal processes is a theoretical confusion. This paper criticises some of the arguments made by Hutto & Myin (2013, 2017) for the stronger anti-representational claim and (...) suggests that the default Enactivist view should be the weaker non-representational position. (shrink)

Healey et al. introduce the special issue with a brief overview of work on communication in the Cognitive Sciences and some of the historical and conceptual influences that have marginalized the study of miscommunication. Drawing on more recent work in Cognitive Science and Conversation Analysis they argue that miscommunication is in fact a highly structured, ubiquitous phenomenon that is fundamental to human interaction.

When cognitive scientists are looking for the neural basis of consciousness or the computational processes underlying vision, what are they looking to find? I argue for a new account of this explanatory project in cognitive science (and the special sciences more generally) on which it is best understood on close analogy with causal explanation in the special sciences. Causal explanations cite causal difference-makers: they explain how certain events causally depend on other events. Generative explanations cite generative difference-makers: they explain how (...) certain events obtain in virtue of (and so are generated by) other events. I show how that this generative difference-making account (GDM) extends well regarded developments in philosophical work on causal explanation, helps to usefully clarify and expands the hypothesis space of a key project in cognitive science – that of understanding how underlying nonmental processes give rise to the mental, including consciousness. In section 2, I develop GDM by close analogy with causal explanation, and locate both of them as species of a more general project in the special sciences: that of discovering what makes a difference to what. In section 3, I motivate GDM by contrasting it with other rival accounts, including correlationist, identity, and grounding accounts, as well as Carl Craver’s constitutive relevance account. In section 4, I tie all of the strands of the preceding discussion together to show how GDM provides a new and compelling response to the so-called hard problem of consciousness. (shrink)

In a two-system theory for mind-reading, a flexible system (FS) enables full-blown mind-reading, and an efficient system (ES) enables early mind-reading. Efficient processing differs from flexible processing in terms of restrictions on the kind of input it can take and the kinds of mental states it can ascribe (output). Thus, systems are not continuous and each relies on different representations: the FS on beliefs and other propositional attitudes, and the ES on belief-like states or registrations. There is a conceptual problem (...) in distinguishing the representations each system operates with. They contend that they can solve this problem by appealing to a characterization of registrations based on signature limits, but this does not work. I suggest a solution to this problem. The difference between registration and belief becomes clearer if each vehicle turns out to be different. I offer some reasons in support of this proposal related to the performance of spontaneous-response false belief tasks. (shrink)

In recent years, many philosophers and scientists have argued or accepted that it is impossible to learn primitive sensory concepts like “blue” and “red”. This paper defends a more qualified picture. I try to show that some received characterisations of “learning” are nonequivalent and point towards different learning-nonlearning distinctions. And, on some ways of specifying such a distinction, it might be correct that we do not and cannot “learn” a concept of blue. But on other ways of specifying such a (...) distinction, we can and do sometimes “learn” a concept of blue from experiences of blue. The latter part of the argument connects with some traditional “abstractionist” views, and I defend the present claims in view of some widely circulated concerns about “abstracting” concepts from experience. I close with some reflections on how one might, in view of all this, think about “the learning-nonlearning distinction”. (shrink)

This is an interesting, well argued, and highly readable book; anyone interested in the central philosophical problems with which it deals will benefit from studying it.Stalnaker defines inquiry as the process of forming, testing, and revising beliefs. His goal is to lay the groundwork for a theory of inquiry, by elaborating and defending a certain apparatus in terms of which the process of inquiry should be described.

In this paper, I review the main criteria offered for distinguishing the modal and amodal approaches to conceptual format: the type of input to which the representations respond, the relation they bear to perceptual states, and the specific neural systems to which they belong. I evaluate different interpretations of them and argue that they all face difficulties. I further show that they lead to cross-classifications of certain types of representations, using approximate number representations as an example.

In this paper I outline an answer to the following question: What are the abilities that make you the sort of subject who can learn, who can acquire new concepts, new skills? There are many traits that matter in providing an answer. But I want to suggest that the ability for creative and imaginative engagement with and sustenance of the playful patterns of our aesthetic experience is core. I identify a core sense of play that fills this role. Play's the (...) thing that makes learning possible. The ability to imaginatively explore non concept-involving patterns to experience—the aesthetics of experience—is foundational for learning and should be at the heart of any serious pedagogy. (shrink)

According to enactivism all living systems, from single cell organisms to human beings, are ontologically endowed with some form of teleological and sense-making agency. Furthermore, enactivists maintain that: there is no fixed pregiven world and as a consequence all organisms “bring forth” their own unique “worlds” through processes of sense-making. The first half of the paper takes these two ontological claims as its central focus and aims to clarify and make explicit the arguments and motivations underlying them. Our analysis here (...) highlights three distinct but connected problems for enactivism: these arguments do not and cannot guarantee that there is no pregiven world, instead, they end up generating a contradiction whereby a pregiven world seems to in fact be tacitly presupposed by virtue of a reliance on a tacit epistemic perspectivalism which is also inherently representationalist and as a consequence makes it difficult to satisfactorily account for the ontological plurality of worlds. Taking these considerations on board, the second half of the paper then aims to develop a more robust ontologically grounded enactivism. Drawing from biosemiotic enactivism, science and technology studies and anthropology, the paper aims to present an account which both rejects a pregiven world and coherently accounts for how organisms bring forth ontologically multiple worlds. (shrink)

The study outlines the existing and potential philosophical issues of the idea of conscious machines originated from the development of artificial consciousness within the framework of contemporary research of artificial intelligence and cognitive robotics. The outline shows that the idea of conscious machines is concerned with two big philosophical issues. The first philosophical issue is a definition of consciousness, taking into account the selection of a set of objects that can have consciousness, the typology of consciousness, the clarifying of the (...) nature of consciousness' carriers and the relationship between consciousness and its environment and the relationship between consciousness and language, in order to create an artificial consciousness within a machine, making that machine conscious. The second philosophical issue is a clarification whether only artificially created machines can be conscious machines, or cyborgizated human beings also can be considered of conscious machines. These philosophical issues show that there can be two ways to create conscious machines: 1) the creating of artificial consciousness within artificially created machine; and 2) the cyborgization of human being, transforming it into artificially created machine possessed natural consciousness. (shrink)

In this book, Bogdan offers an empirically informed theory of the emergence and nature of predication with unmistakable pragmatic and developmental overtones. While the emphasis on psycho-pragmatic and developmental factors is most welcome, and while the discussion is informed and informative, Bogdan’s thesis suffers from some major weaknesses, in particular philosophical ones. Chief among these is an insufficient clarity with regard to the problem domain being addressed: Bogdan professes to offer a theory of predication as a general mental faculty but (...) in reality he focuses on a rather narrower phenomenon. This narrow delineation of the problem domain, and Bogdan’s insistence on the discontinuity between full-fledged human predication and animal thought patterns, leads to a theoretical impasse that renders the very coherence of his proposal dubitable. (shrink)

Entre los filósofos que consideran que pensamos utilizando representaciones simbólicas, P. Carruthers ha defendido, versus la hipótesis del ‘lenguaje del pensamiento’ (LDP), una versión débil de la hipótesis del ‘pensamiento en lenguaje natural’ (PLN). En este trabajo, me ocuparé, en primer lugar, de mostrar las razones por las cuales Carruthers, en su defensa de la hipótesis débil del PLN, siembra cierta confusión en la polémica entre el LDP y PLN. En segundo lugar, intentaré esbozar una salida de esta confusión, ofreciendo (...) y evaluando dos opciones posibles, i.e. la estrategia trascendental y la de la inferencia a la mejor explicación revisada, para quien desee sostener una versión débil del PLN que no desvirtúe la polémica.Among the philosophers who believe that we think with symbolic representations, P. Carruthers has defended -against the ‘language of thought’ hypothesis (LOT)- a weak version of the ‘thinking in natural language’ hypothesis (TNL). In this paper, I will firstly state the reasons why I think that Carruthers throws the LOT-TNL debate into some confusion. Secondly, I will try to outline a way out of this confusion, offering and evaluating two possible options -i.e., the transcendental and the revised inference to the best explanation strategies- for those who wish to hold a weak version of TNL that does not distort the debate. (shrink)

In this paper we adopt the hypothesis that languages are mechanisms for interaction, and that grammars encode the means by which such interaction may take place, by use of procedures that construct representations of meaning from strings of words uttered in context, and conversely strings of words are built up from representations of content in interaction with context. In a review of the systemic use of ellipsis in dialogue and associated split-utterance phenomena, we show how, in Dynamic Syntax, words give (...) rise to a range of procedures for the building of representations of the content of some utterance, which both speakers and hearers use. We then extend the discussion to take account of adjuncts, showing how they contribute to content construction both in single utterances and across speakers. The same mechanisms are then shown to underlie the building of inferential extensions of meaning in context, giving rise to the creation of the ad hoc concepts expressed by phrases or single words in relation to the utterance context and ultimately to the creation of metaphorical uses of language. (shrink)

Why Theories of Concepts Should Not Ignore the Problem of Acquisition.

In the literature on the nature and role of cognitive representation, three positions are taken across the conceptual landscape: robust realism, primitivism, and eliminativism. Recently, a fourth alternative that tries to avoid the shortcomings of traditional views has been proposed: content pragmatism. My aim is to defend pragmatism about content against some recent objections moved against the view. According to these objections, content pragmatism fails to capture the role played by representation in the cognitive sciences; and/or is an unstable view (...) that ends up collapsing into one of the traditional alternatives. I argue that those arguments fail. I show that content pragmatism has as much claim to descriptive adequacy as the traditional theories. Moreover, I defend the robustness of the view by arguing that it does not collapse into any of the traditional positions. Content pragmatism therefore offers a valid and coherent account of the nature of representational content. (shrink)

This paper argues that sociocultural accounts of learning fail to answer the key question about learning—how is it possible? Accordingly, we should adopt an individualist bootstrapping methodology in providing a theory of learning. Such a methodology takes seriously the idea that learning is staged and distinguishes between a non-comprehending engagement with things and a comprehending engagement. It suggests that, in the light of recent work in psychology with insights from Wittgenstein, there is rich scope for a bootstrapping account of learning. (...) The paper also argues that sociocultural approaches when pushed, either require some such bootstrapping account, or they collapse into an obscure Ficthean metaphysics in which individual abilities are ‘summoned into being’ by the attitudes of others. (shrink)

Neurosciences and cognitive sciences provide us with myriad empirical findings that shed light on hypothesised primitive numerical processes in the brain and in the mind. Yet, the hypotheses on which the experiments are based, and hence the results, depend strongly on sophisticated abstract models used to describe and explain neural data or cognitive representations that supposedly are the empirical roots of primary arithmetical activity. I will question the foundational role of such models. I will even cast doubt upon the search (...) for a general and unified philosophical foundation of an empirical science. First, it seems to me hard to draw a global and coherent view from the innumerable and piecemeal neuropsychological experiments and their variable, and sometimes uneasily compatible or fully divergent interpretations. Secondly, I think that the aim of empirical research is to describe dynamical processes, establishing correlations between different sets of data, without meaning to fix an origin or to point to a cause, let alone to a ground. From the very scientific and philosophical point of view it is essential to distinguish between explanations, which provide correlations or, at best, causal mechanisms, and grounding, which involves a claim to some form of determinism. (shrink)

A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision-making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...) Davidsonian idea that practical inferences are at bottom categorization judgments. From this perspective, we can see how similarity-based categorization processes widely studied in human and animal psychology might count as practically rational. The solution involves a novel hybrid of internalism and externalism: intuitive inferences are psychologically rational (in the explanatory sense) given the intensional sensitivity of the similarity assessment to the internal structure of the agent's reasons for acting, but epistemically rational (in the justificatory sense) given an ecological fit between the features matched by that assessment and the structure of the agent's environment. The essay concludes by exploring empirical results that show how nonlinguistic agents can be sensitive to these similarity assessments in a way that grants them control over their opaque judgments. (shrink)

Much of contemporary philosophy assumes a close connection between thought and language. It is widely assumed, for example, that the structural units, semantic properties, and forms of reasoning as...

Token physicalism is often viewed as a modest and unproblematic physicalist commitment, as contrasted with type physicalism. This paper argues that the prevalence of functional individuation in biology creates serious problems for token physicalism, because the latter requires that biological entities can be individuated physically and without reference to biological functioning. After characterizing the main philosophical roles for token physicalism, I describe the distinctive uses of functional individuation in models of biological processes. I then introduce some requirements on token identity (...) claims that arise from a position on individuation and identity known as sortalism. An examination of biological examples shows that these sortalist requirements cannot be plausibly met due to differences between individuation by functional biological criteria and by physical criteria. Even without assuming sortalism, token physicalism faces the more basic problem of excluding functionally irrelevant detail from the individuation of biological tokens. I close by suggesting that the philosophical roles for token identity are better fulfilled by a notion of token composition, which promotes a hierarchical picture of individuality. (shrink)

We argue that one important aspect of the “cognitive neuroscience revolution” identified by Boone and Piccinini :1509–1534. doi: 10.1007/s11229-015-0783-4, 2015) is a dramatic shift away from thinking of cognitive representations as arbitrary symbols towards thinking of them as icons that replicate structural characteristics of their targets. We argue that this shift has been driven both “from below” and “from above”—that is, from a greater appreciation of what mechanistic explanation of information-processing systems involves, and from a greater appreciation of the problems (...) solved by bio-cognitive systems, chiefly regulation and prediction. We illustrate these arguments by reference to examples from cognitive neuroscience, principally representational similarity analysis and the emergence of dynamical models as a central postulate in neurocognitive research. (shrink)

When people use the phrase “personal relationship with Jesus,” how does one explain its significance? Normally attributed to evangelical Protestant Christians, use of the phrase “personal relationship with Jesus” is a complicated phenomenon, and an explanation of it requires drawing upon resources from across multiple disciplines rather than a single discipline only. Attempts to explain exactly what the phrase “personal relationship with Jesus” means frequently can be mystifying, on the one hand, or dismissive and simplistic, on the other hand. This (...) article moves potentially toward a better context for understanding use of the phrase “personal relationship with Jesus” by drawing upon insights from multiple disciplines, including rhetorical and cultural-historical studies, evolutionary and cognitive psychology, and biological/behavioral and social/anthropological studies in order to set forth some basic lines of explanation for use of the phrase “personal relationship with Jesus.” The article concludes with some possible testable statements for future empirical studies. (shrink)

Sceptics of informational terminology argue that by attributing content to signals, we fail to address nonhuman animal communication on its own terms. Primarily, we ignore that communication is sender driven: i.e. driven by the intrinsic physical properties of signals, themselves the result of selection pressures acting on signals to influence receivers in ways beneficial for senders. In contrast, information proponents argue that this ignores the degree to which communication is, in fact, receiver driven. The latter argue that an exclusive focus (...) on the intrinsic mechanical properties of signals cannot explain why receivers respond as they do. This is because receivers are not prisoners of sender influence. They possess response flexibility, and so we can only explain why receivers respond to signals as they do by positing that receivers ‘derive information’ from signals. I argue that, while basically true, this response flexibility can take one of two forms depending on the causal-explanatory role of information in understanding the response of the receiver: diachronic, on the one hand; and synchronic, on the other. In species with diachronic response flexibility only, information is derived by receivers from signals in a minimal sense. In such cases, information is an ultimate explanatory construct: one underpinned by historical facts at the population level. Alternatively, in species with synchronic response flexibility, information is derived by receivers from signals in a richer sense. Here, information is a proximate explanatory construct: one underpinned by cognitive-mechanistic facts at the level of the individual organism. Without recognising the different ways information can be derived from signals, and the different causal-explanatory roles information can play in understanding alternate kinds of receiver flexibility, proponents of information leave themselves open to the charge of anthropomorphising some signalling systems. (shrink)

Heuristics are often invoked in the philosophical, psychological, and cognitive science literatures to describe or explain methodological techniques or "shortcut" mental operations that help in inference, decision-making, and problem-solving. Yet there has been surprisingly little philosophical work done on the nature of heuristics and heuristic reasoning, and a close inspection of the way(s) in which "heuristic" is used throughout the literature reveals a vagueness and uncertainty with respect to what heuristics are and their role in cognition. This dissertation seeks to (...) remedy this situation by motivating philosophical inquiry into heuristics and heuristic reasoning, and then advancing a theory of how heuristics operate in cognition. I develop a positive working characterization of heuristics that is coherent and robust enough to account for a broad range of phenomena in reasoning and inference, and makes sense of empirical data in a systematic way. I then illustrate the work this characterization does by considering the sorts of problems that many philosophers believe heuristics solve, namely those resulting from the so-called frame problem. Considering the frame problem motivates the need to gain a better understanding of how heuristics work and the cognitive structures over which they operate. I develop a general theory of cognition which I argue underwrites the heuristic operations that concern this dissertation. I argue that heuristics operate over highly organized systems of knowledge, and I offer a cognitive architecture to accommodate this view. I then provide an account of the systems of knowledge that heuristics are supposed to operate over, in which I suggest that such systems of knowledge are concepts. The upshot, then, is that heuristics operate over concepts. I argue, however, that heuristics do not operate over conceptual content, but over metainformational relations between activated and primed concepts and their contents. Finally, to show that my thesis is empirically adequate, I consider empirical evidence on heuristic reasoning and argue that my account of heuristics explains the data. (shrink)

The enactive approach to cognition and consciousness offers a valuable alternative to the standard approaches dominant in the sciences of mind. As an embodied account, enactivism incorporates theoretical perspectives on the body from phenomenology, cognitive science, and biology, which provides a unique interpretation of embodiment with critical insight into the embodied nature of cognition and consciousness. Nonetheless, I argue that several revisions are required to make enactivism viable within the context of the sciences of mind. The enactive account of subjectivity (...) is problematic, in light of arguments developed in Maurice Merleau-Ponty’s later texts, because it is implicitly dualistic. I demonstrate that this implicit dualism can be resolved by incorporating the conceptual framework of flesh that Merleau-Ponty introduces in his later works. However, this new framework presents a challenge of understanding how body can break with world in experience. I provide a solution to this problem by way of developing revisions to the enactive account of cognition, which I argue is problematic in its generality. I offer a new interpretation of enactive cognition modelled on structural flexibility that overcomes the difficulties of the previous account. These revisions to enactive cognition provide a way of understanding how body can break with world, resulting in an account of the enactive body as expressing a massive integration of its different ways of being in the world, as cognitive, conscious, affective, and agentive. These revisions provide a more consistent and plausible articulation of the enactive approach that is more amenable to guiding the sciences of mind. (shrink)

This dissertation examines representationalism about sensory phenomenology—the claim that for a sensory experience to have a particular phenomenal character is a matter of it having a particular representational content. I focus on a particular issue that is central to representationalism: whether reductive versions of the theory should be internalist or externalist. My primary goals are to demonstrate that externalist representationalism fails to provide a reductive explanation for phenomenal qualities, and to present a reductive internalist version of representationalism that utilizes the (...) empirical framework of psychophysics and neuroscience to develop a philosophical theory of content. The bulk of the project is an attempt to provide the outlines of what such an empirically-based representationalist theory would look like. In chapter 2, I argue that reductive externalist representationalism fails because it is vulnerable to the problem of bad structural correlation: the mismatch between the structure of phenomenal qualities and the structure of physical properties “tracked” by our sensory systems with which phenomenal qualities are identified. In chapter 3, I develop the outlines of a reductive internalist version of representationalism that characterizes phenomenal qualities as modes of presentation of sensory representations that can be reductively characterized in terms of a location in a psychophysically-defined quality space, which can in turn be given a neurophysiological interpretation. In addition, I argue that the neural mechanisms responsible for the representation of spatial locations and visual objects serve a referential role in sensory psychosemantics that grounds the intentionality of sensory states. In chapter 5 I provide a detailed account of the representation of spatial locations in sensory experience, and in chapter 6 I examine the “binding problem”, demonstrating how object-based sensory representations function to demonstratively pick out sensory individuals without explicitly representing any of their features. I describe the resulting view as methodological representationalism: an attempt to demonstrate how a particular philosophical theory of sensory phenomenology can be integrated into the empirical framework of cognitive science, and thereby provide an explanatory psychosemantic framework for sensory phenomenology that is valuable to both philosophers and cognitive scientists. (shrink)

Part 1 of the thesis questions the traditional relation model of intentionality. After fixing reference on the target phenomenon, intentionality, and explaining my interest in it, I ask what sorts of things intentionality might be a relation to. I consider ordinary objects, properties, propositions and hybrid views, and conclude all make the intentional relation appear rather mysterious. From there, I move on to examine the relation view’s most prominent proponents, the tracking theorists—pointing out some challenges such views face, and concluding (...) that it might be worthwhile looking into alternatives to the relation view. Part 2 asks whether the newly emerging phenomenal intentionality movement can provide a viable alternative to the relation model of intentionality. After focusing on a specific kind of phenomenal intentionality theory—something I call modificationism—I examine three such accounts. From there I go on to discuss some common complaints/challenges these kinds of views face, and consider how they might be addressed within the modificationist framework. In Part 3, I address what I call the problem of cognitive contact: how do our contentful mental states manage to make cognitive contact with the ordinary objects (e.g. tables and chairs) that they appear to. The problem is particularly acute for any version of phenomenal intentionality that denies the relation view, and has been given very little attention in the literature. I consider how a modificationist might address this problem, and conclude that though some avenues appear promising, there is nevertheless a great deal of work to be done if modificationism, and phenomenal intentionality theory, is to overcome this problem. (shrink)

Computationalism about the brain is the view that the brain literally performs computations. For the view to be interesting, we need an account of computation. The most well-developed account of computation is Turing Machine computation, the account provided by theoretical computer science which provides the basis for contemporary digital computers. Some have thought that, given the seemingly-close analogy between the all-or-nothing nature of neural spikes in brains and the binary nature of digital logic, neural computation could be a species of (...) digital computation. A few recent authors have offered arguments against this idea; here, I review recent findings in neuroscience that further cement the implausibility of this view. However, I argue that we can retain the view that the brain is a computer if we expand what we mean by “computation” to include analog computation. I articulate an account of analog computation as the manipulation of analog representations based on previous work on the difference between analog and non-analog representations, extending a view originally articulated in Shagrir :271–279, 2010). Given that analog computation constitutes a significant chapter in the history of computation, this revision of computationalism to include analog computation is not an ad hoc addition. Brains may well be computers, but of the analog kind, rather than the digital kind. (shrink)

We revisit a debate initiated some 15 years ago by Ray Elugardo and Robert Stainton about the domain of arguments. Our main result is that arguments are not exclusively sets of linguistic expressions. Instead, as we put it, some non-linguistic items have ‘logical form’. The crucial examples are arguments, both deductive and inductive, made with unembedded words and phrases. … subsentential expressions such as singular terms and predicates… cannot serve as premises or conclusions in inferences.

The mental realm seems different to the physical realm; the mental is thought to be dependent on, yet distinct from the physical. But how, exactly, are the two realms supposed to be different, and what, exactly, creates the seemingly insurmountable juxtaposition between the mental and the physical? This review identifies and discusses five marks of the mental, features that set characteristically mental phenomena apart from the characteristically physical phenomena. These five marks (intentionality, consciousness, free will, teleology, and normativity) are not (...) presented as a set of features that define mentality. Rather, each of them is something we seem to associate with phenomena we consider mental, and each of them seems to be in tension with the physical view of reality in its own particular way. It is thus suggested how there is no single mind-body problem, but a set of distinct but interconnected problems. Each of these separate problems is analyzed, and their differences, similarities and connections are identified. This provides a useful basis for future theoretical work on psychology and philosophy of mind, that until now has too often suffered from unclarities, inadequacies, and conflations. (shrink)

In the seminal essay, "On the unreasonable effectiveness of mathematics in the physical sciences," physicist Eugene Wigner poses a fundamental philosophical question concerning the relationship between a physical system and our capacity to model its behavior with the symbolic language of mathematics. In this essay, I examine an ambitious 16th and 17th-century intellectual agenda from the perspective of Wigner's question, namely, what historian Paolo Rossi calls "the quest to create a universal language." While many elite thinkers pursued related ideas, the (...) most inspiring and forceful was Gottfried Leibniz's effort to create a "universal calculus," a pictorial language which would transparently represent the entirety of human knowledge, as well as an associated symbolic calculus with which to model the behavior of physical systems and derive new truths. I suggest that a deeper understanding of why the efforts of Leibniz and others failed could shed light on Wigner's original question. I argue that the notion of reductionism is crucial to characterizing the failure of Leibniz's agenda, but that a decisive argument for the why the promises of this effort did not materialize is still lacking. (shrink)

Clark has recently suggested that predictive processing advances a theory of neural function with the resources to put an ecumenical end to the “representation wars” of recent cognitive science. In this paper I defend and develop this suggestion. First, I broaden the representation wars to include three foundational challenges to representational cognitive science. Second, I articulate three features of predictive processing’s account of internal representation that distinguish it from more orthodox representationalist frameworks. Specifically, I argue that it posits a resemblance-based (...) representational architecture with organism-relative contents that functions in the service of pragmatic success, not veridical representation. Finally, I argue that internal representation so understood is either impervious to the three anti-representationalist challenges I outline or can actively embrace them. (shrink)

Recent mechanistic philosophers :1287–1321, 2016) have argued that the cognitive sciences are not autonomous from neuroscience proper. I clarify two senses of autonomy–metaphysical and epistemic—and argue that cognitive science is still autonomous in both senses. Moreover, mechanistic explanation of cognitive phenomena is not therefore an alternative to the view that cognitive science is autonomous of neuroscience. If anything, it’s a way of characterizing just how cognitive processes are implemented by neural mechanisms.

This paper examines the interaction between the philosophy and psychology of concepts and the modal characterization of the deductive concept of logical validity. The concept of logical consequence on which I focus is model-theoretic, where the concept records the property of necessary truth-preservation from the premise of an argument to its conclusion, as well as the condition that, in the class of all possible worlds in which a premise is true, a consequent formula or succedent class of formulas is true, (...) as well. Focusing on the case of logical necessity, I argue that the ability to account for the modal properties of concepts places a desideratum on the explanatory adequacy of theories of mental representation. I outline, then, five approaches to the nature of concepts pursued in philosophy and cognitive science, and argue that the above desideratum does not appear to be satisfiable by the candidate proposals. Given the limits of the foregoing, I appeal to a sixth approach -- namely, cognitivism about epistemic modality, according to which epistemic intensions are semantically imbued functions in the language of thought -- and endeavor to demonstrate how the proposal can sufficiently account for the modal profile of the concept of logical consequence. (shrink)