When cognitive scientists apply computational theory to the problem of phenomenal consciousness, as many of them have been doing recently, there are two fundamentally distinct approaches available. Either consciousness is to be explained in terms of the nature of the representational vehicles the brain deploys; or it is to be explained in terms of the computational processes defined over these vehicles. We call versions of these two approaches _vehicle_ and _process_ theories of consciousness, respectively. However, while there may be space (...) for vehicle theories of consciousness in cognitive science, they are relatively rare. This is because of the influence exerted, on the one hand, by a large body of research which purports to show that the explicit representation of information in the brain and conscious experience are _dissociable_, and on the other, by the _classical_ computational theory of mind – the theory that takes human cognition to be a species of symbol manipulation. But two recent developments in cognitive science combine to suggest that a reappraisal of this situation is in order. First, a number of theorists have recently been highly critical of the experimental methodologies employed in the dissociation studies – so critical, in fact, it’s no longer reasonable to assume that the dissociability of conscious experience and explicit representation has been adequately demonstrated. Second, classicism, as a theory of human cognition, is no longer as dominant in cognitive science as it once was. It now has a lively competitor in the form of _connectionism; _and connectionism, unlike classicism, does have the computational resources to support a robust vehicle theory of consciousness. In this paper we develop and defend this connectionist vehicle theory of consciousness. It takes the form of the following simple empirical hypothesis: _phenomenal experience consists in the explicit_ _representation of information in neurally realized PDP networks_.. (shrink)

One of the principal tasks Dennett sets himself in Consciousness Explained is to demolish the Cartesian theater model of phenomenal consciousness, which in its contemporary garb takes the form of Cartesian materialism: the idea that conscious experience is a process of presentation realized in the physical materials of the brain. The now standard response to Dennett is that, in focusing on Cartesian materialism, he attacks an impossibly naive account of consciousness held by no one currently working in cognitive science or (...) the philosophy of mind. Our response is quite different. We believe that, once properly formulated, Cartesian materialism is no straw man. Rather, it is an attractive hypothesis about the relationship between the computational architecture of the brain and phenomenal consciousness, and hence one that is worthy of further exploration. Consequently, our primary aim in this paper is to defend Cartesian materialism from Dennett’s assault. We do this by showing that Dennett’s argument against this position is founded on an implicit assumption (about the relationship between phenomenal experience and information coding in the brain), which while valid in the context of classical cognitive science, is not forced on connectionism. (shrink)

When characterizing the content of a subject’s perceptual experience, does their seeing an object entail that their visual experience represents it as being a certain way? If it does, are they thereby in a position to have perceptually-based thoughts about it? On one hand, representationalists are under pressure to answer these questions in the affirmative. On the other hand, it seems they cannot. This paper presents a puzzle to illustrate this tension within orthodox representationalism. We identify several interesting morals which (...) may be drawn in response, each of which teaches us something interesting and important about perceptual experience and its interface with cognition and related phenomena. (shrink)

The value problem for knowledge is the problem of explaining why knowledge is more valuable than mere true belief. The problem arises for reliabilism in particular, i.e., the externalist view that knowledge amounts to reliably acquired true belief. Goldman and Olsson argue that knowledge, in this sense, is more valuable than mere true belief due to the higher likelihood of future true beliefs (produced by the same reliable process) in the case of knowledge. They maintain that their solution works given (...) four empirical assumptions, which they claim hold “normally.” However, they do not show that their assumptions are externalistically acceptable; nor do they provide detailed evidence for their normality claim. We address these remaining gaps in Goldman and Olsson’s solution in a constructive spirit. In particular, we suggest an externalist interpretation of the assumptions such that they essentially spell out what it means for a broad range of organisms capable of belief-like representations to be epistemically adapted to their environment. Our investigation also sheds light on the circumstances in which the assumptions fail to hold and knowledge therefore fails to have extra value in Goldman and Olsson’s sense. The upshot is a deeper understanding of their solution as a contribution to naturalized epistemology and a strengthened case for its empirical validity. (shrink)

In the late preschool years children acquire a "theory of mind", the ability to ascribe intentional states, including beliefs, desires and intentions, to themselves and others. In this paper I trace how children's ability to ascribe intentions is derived from parental attempts to hold them responsible for their talk and action, that is, the attempt to have their behavior meet a normative standard or rule. Self-control is children's developing ability to take on or accept responsibility, that is, the ability to (...) ascribe intentions to themselves. This is achieved, I argue, when they possess the ability to hold an utterance or rule in mind in the form of a quoted expression, and second, when they grasp the causal relation between the rule and their action. The account of how children learn to ascribe intention to themselves and others will then be used to explore the larger question of the relations amongst language, intentional states and the ascription and avowal of those states. (shrink)

Literacy, specifically the use of writing for rational purposes, adds a new dimension to the traditional problem of the relation between language, thought and rationality. Central to rational thought are the logical relations expressed by such terms as “is”, “or”, “and” and “not”. Whereas some see these concepts as fundamental and innate, it is here argued that such terms exhibit a diverse range of uses in speech and thought but through literacy and education they become explicit objects of thought and (...) formalized or ‘normed’ into logical operators as part of a literate rationality. This more formal orientation to language is seen as metarepresentational and may be shown to have both an historical and a developmental trajectory. (shrink)

Literacy, specifically the use of writing for rational purposes, adds a new dimension to the traditional problem of the relation between language, thought and rationality. Central to rational thought are the logical relations expressed by such terms as “is”, “or”, “and” and “not”. Whereas some see these concepts as fundamental and innate, it is here argued that such terms exhibit a diverse range of uses in speech and thought but through literacy and education they become explicit objects of thought and (...) formalized or ‘normed’ into logical operators as part of a literate rationality. This more formal orientation to language is seen as metarepresentational and may be shown to have both an historical and a developmental trajectory. (shrink)

In their target article, Hutto and Satne eloquently articulate the failings of most current attempts to naturalize mental content. Furthermore, we think they are correct in their insistence that the only way forward is by drawing a distinction between two kinds of intentionality, one of which is considerably weaker than—and should be deployed to explain—the propositional variety most philosophers take for granted. The problem is that their own rendering of this weaker form of intentionality—contentless intentionality—is too weak. What’s needed is (...) a species of intentionality distinct from both the industrial-strength version beloved by philosophers and the intentionality lite recommended by Hutto and Satne. We briefly motivate and sketch this alternative, and say a few words about the account of cognition that it spawns. (shrink)

When it comes to applying computational theory to the problem of phenomenal consciousness, cognitive scientists appear to face a dilemma. The only strategy that seems to be available is one that explains consciousness in terms of special kinds of computational processes. But such theories, while they dominate the field, have counter-intuitive consequences; in particular, they force one to accept that phenomenal experience is composed of information processing effects. For cognitive scientists, therefore, it seems to come down to a choice between (...) a counter-intuitive theory or no theory at all. We offer a way out of this dilemma. We argue that the computational theory of mind doesn't force cognitive scientists to explain consciousness in terms of computational processes, as there is an alternative strategy available: one that focuses on the representational vehicles that encode information in the brain. This alternative approach to consciousness allows us to do justice to the standard intuitions about phenomenal experience, yet remain within the confines of cognitive science. (shrink)

It has been argued that dual process theories are not consistent with Oaksford and Chater’s probabilistic approach to human reasoning (Oaksford and Chater in Psychol Rev 101:608–631, 1994 , 2007 ; Oaksford et al. 2000 ), which has been characterised as a “single-level probabilistic treatment[s]” (Evans 2007 ). In this paper, it is argued that this characterisation conflates levels of computational explanation. The probabilistic approach is a computational level theory which is consistent with theories of general cognitive architecture that invoke (...) a WM system and an LTM system. That is, it is a single function dual process theory which is consistent with dual process theories like Evans’ ( 2007 ) that use probability logic (Adams 1998 ) as an account of analytic processes. This approach contrasts with dual process theories which propose an analytic system that respects standard binary truth functional logic (Heit and Rotello in J Exp Psychol Learn 36:805–812, 2010 ; Klauer et al. in J Exp Psychol Learn 36:298–323, 2010 ; Rips in Psychol Sci 12:29–134, 2001 , 2002 ; Stanovich in Behav Brain Sci 23:645–726, 2000 , 2011 ). The problems noted for this latter approach by both Evans Psychol Bull 128:978–996, ( 2002 , 2007 ) and Oaksford and Chater (Mind Lang 6:1–38, 1991 , 1998 , 2007 ) due to the defeasibility of everyday reasoning are rehearsed. Oaksford and Chater’s ( 2010 ) dual systems implementation of their probabilistic approach is then outlined and its implications discussed. In particular, the nature of cognitive decoupling operations are discussed and a Panglossian probabilistic position developed that can explain both modal and non-modal responses and correlations with IQ in reasoning tasks. It is concluded that a single function probabilistic approach is as compatible with the evidence supporting a dual systems theory. (shrink)

Classical symbolic computational models of cognition are at variance with the empirical findings in the cognitive psychology of memory and inference. Standard symbolic computers are well suited to remembering arbitrary lists of symbols and performing logical inferences. In contrast, human performance on such tasks is extremely limited. Standard models donot easily capture content addressable memory or context sensitive defeasible inference, which are natural and effortless for people. We argue that Connectionism provides a more natural framework in which to model this (...) behaviour. In addition to capturing the gross human performance profile, Connectionist systems seem well suited to accounting for the systematic patterns of errors observed in the human data. We take these arguments to counter Fodor and Pylyshyn's (1988) recent claim that Connectionism is, in principle, irrelevant to psychology. (shrink)

The chief problem for the theory of mind is that of presence. In this paper I offer an explanation of this claim, and I indicate how my own “enactive” approach to mind has tried to address this problem. I also argue that other approaches, such as that undertaken by Hutto and Myin, have side-stepped the problem, instead of addressing it; their position opts for reductionism and eliminativism. This essay has two parts. The first is an exposition of the enactive approach, (...) as I understand it, and the second is a critical evaluation of Hutto and Myin. (shrink)

In this article, we analyze and reject two versions of the content‐argument against animal beliefs, namely, the ontological argument from Davidson and the epistemological argument from Stich. One of the main defects of the strongest version of the argument is that it over‐intellectualizes belief ascriptions in humans and thus sets the comparative bar for belief ascriptions in animals too high. In the second part of the article, we develop a gradualist notion of belief which captures basic beliefs as well as (...) Davidsonian linguistic beliefs, and we specify the conditions under which belief ascriptions to nonlinguistic animals are justified. (shrink)

The debate about direct perception encompasses different topics, one of which concerns the richness of the contents of perceptual experiences. Can we directly perceive only low-level properties, like edges, colors etc., or can we perceive high-level properties and entities as well? The aim of the paper is to defend the claim that the content of our perceptual experience can include emotions and also person impressions. Using these examples, an argument is developed to defend a liberal-content view for core examples of (...) social cognition. This view is developed and contrasted with accounts which claim that in the case of registering another person’s emotion while seeing them, we have to describe the relevant content not as the content of a perceptual experience, but of a perceptual belief. The paper defends the view that perceptual experiences can have a rich content yet remain separable from beliefs formed on the basis of the experience. How liberal and enriched the content of a perceptual experience is will depend upon the expertise a person has developed in the field. This is supported by the argument that perceptual experiences can be systematically enriched by perceiving affordances of objects, by pattern recognition or by top-down processes, as analyzed by processes of cognitive penetration or predictive coding. (shrink)

This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.

This article surveys the philosophical literature on theoretical linguistics. The focus of the paper is centred around the major debates in the philosophy of linguistics, past and present, with specific relation to how they connect to the philosophy of science. Specific issues such as scientific realism in linguistics, the scientific status of grammars, the methodological underpinnings of formal semantics, and the integration of linguistics into the larger cognitive sciences form the crux of the discussion.

John Searle’s Chinese Room Argument purports to demonstrate that syntax is not sufficient for semantics, and, hence, because computation cannot yield understanding, the computational theory of mind, which equates the mind to an information processing system based on formal computations, fails. In this paper, we use the CRA, and the debate that emerged from it, to develop a philosophical critique of recent advances in robotics and neuroscience. We describe results from a body of work that contributes to blurring the divide (...) between biological and artificial systems; so-called animats, autonomous robots that are controlled by biological neural tissue and what may be described as remote-controlled rodents, living animals endowed with augmented abilities provided by external controllers. We argue that, even though at first sight, these chimeric systems may seem to escape the CRA, on closer analysis, they do not. We conclude by discussing the role of the body–brain dynamics in the processes that give rise to genuine understanding of the world, in line with recent proposals from enactive cognitive science. (shrink)

I recommend three revisions to experimental philosophy's ‘self-image’ which I suggest will enable experimentalist critics of intuition to evade several important objections to the 'negative' strand of the experimental philosophy research project. First, experimentalists should avoid broad criticisms of ‘intuition’ as a whole, instead drawing a variety of conclusions about a variety of much narrower categories of mental state. Second, experimentalists should state said conclusions in terms of epistemic norms particular to philosophical inquiry, rather than attempting to, for example, deny (...) that intuitions produce justified belief. Third, experimentalists should acknowledge the limitations of the ‘method of cases’ model of philosophical inquiry, and expand their experimental work accordingly. (shrink)

The present trend towards an atheoretical statistical method of psychiatric classification has prompted many psychiatrists to conceive of "mental disorder", or for that matter any other psychopathological designation, as an indexical cluster of properties and events more than a distinct psychological impairment. By employing different combinations of inclusion and exclusion criteria, the current American Psychiatric Association's scheme (called DSM-III) hopes to avoid the over-selectivity of more metaphysical systems and thereby provide the clinician with a flexible means of dealing with a (...) wide diversity of cases. In the hope of redirecting future inquiry, the paper will argue: (1) that this recent trend might appear to be clinically beneficial, but in point of fact it is riddled by unsound theoretical conclusions which leave the field without a deeply reaching base for understanding and treating mental disorder, and (2) that, a fortiori, "mental disorder" is best conceived as not a cluster of properties and events, nor a metaphorical reaction to a breakdown in social interpersonal relations, but as a deeply laid condition characterized by the absence of an imaginally integrated system. (shrink)

In his enormously influential The Modularity of Mind, Jerry Fodor (1983) proposed that the mind was divided into input modules and central processes. Much subsequent research focused on the modules and whether processes like speech perception or spatial vision are truly modular. Much less attention has been given to Fodor's writing on the central processes, what would today be called higher‐level cognition. In “Fodor's First Law of the Nonexistence of Cognitive Science,” he argued that central processes are “bad candidates for (...) scientific study” and would resist attempts at empirical analysis. This essay evaluates his argument for this remarkable claim, concluding that although central processes may well be “messier” than input modules, this does not mean that they cannot be studied and understood. The article briefly reviews the scientific progress made in understanding central processes in the 35 years since the book was published, showing that Fodor's prediction is clearly falsified by massive advances in topics like decision making and analogy. The essay concludes that Fodor's Law was not based on a clear argument for why the complexities of central systems could not be studied but was likely based on intuitions and preferences that were common in psychology at the time. (shrink)

The idea of integrating evolutionary biology and psychology has great promise, but one that will be compromised if psychological functions are conceived too abstractly and neuroscience is not allowed to play a contructive role. We argue that the proper integration of neuroscience, psychology, and evolutionary biology requires a telelogical as opposed to a merely componential analysis of function. A teleological analysis is required in neuroscience itself; we point to traditional and curent research methods in neuroscience, which make critical use of (...) distinctly teleological functional considerations in brain cartography. Only by invoking teleological criteria can researchers distinguish the fruitful ways of identifying brain components from the myriad of possible ways. One likely reason for reluctance to turn to neuroscience is fear of reduction, but we argue that, in the context of a teleological perspective on function, this concern is misplaced. Adducing such theoretical considerations as top-down and bottom-up constraints on neuroscientific and psychological models, as well as existing cases of productive, multidisciplinary cooperation, we argue that integration of neuroscience into psychology and evolutionary biology is likely to be mutually beneficial. We also show how it can be accommodated methodologically within the framework of an interfield theory. (shrink)

It has long been recognized that we have a great deal of freedom to imagine what we choose. This paper explores a thesis—what we call “intentionalism (about the imagination)”—that provides a way of making this evident (if vague) truism precise. According to intentionalism, the contents of your imaginings are simply determined by whatever contents you intend to imagine. Thus, for example, when you visualize a building and intend it to be of King’s College rather than a replica of the college (...) you have imagined the former rather than the latter because you intended to imagine King’s College. This is so even if the visual image you conjure up equally resembles either. This paper proposes two kinds of counterexamples to intentionalism and discusses their significance. In particular, it sketches a positive account of how many sensory imaginings get to be about what they are about, which explains how the causal history of our mental imagery can prevent us from succeeding in imagining what we intended. (shrink)

O'Brien & Opie do not address the question of the psychotherapeutic role of unconscious representational states such as beliefs. A dilemma is proposed: if they accept the legitimacy of such states then they should modify what they say about dissociation, and if they do not, they owe us an account of why.

Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage-wise (...) development of cognitive abilities. We summarize work relevant to this hypothesis and suggest two simple mechanisms that account for some developmental transitions: neural readiness focuses on changes in the neural substrate resulting from ongoing learning, and perceptual readiness focuses on the perceptual requirements for learning new tasks. Previous work has demonstrated these mechanisms in replications of a wide variety of infant language experiments, spanning multiple developmental stages. Here we piece this work together as a single model of ongoing learning with no parameter changes at all. The model, an instance of the Epigenetic Robotics Architecture embodied on the iCub humanoid robot, exhibits ongoing multi-stage development while learning pre-linguistic and then basic language skills. (shrink)

We situate the debate on intentionality within the rise of cognitive neuroscience and argue that cognitive neuroscience can explain intentionality. We discuss the explanatory significance of ascribing intentionality to representations. At first, we focus on views that attempt to render such ascriptions naturalistic by construing them in a deflationary or merely pragmatic way. We then contrast these views with staunchly realist views that attempt to naturalize intentionality by developing theories of content for representations in terms of information and biological function. (...) We echo several other philosophers by arguing that these theories over-generalize unless they are constrained by a theory of the functional role of representational vehicles. This leads to a discussion of the functional roles of representations, and how representations might be realized in the brain. We argue that there’s work to be done to identify a distinctively mental kind of representation. We close by sketching a way forward for the project of naturalizing intentionality. This will not be achieved simply by ascribing the content of mental states to generic neural representations, but by identifying specific neural representations that explain the puzzling intentional properties of mental states. (shrink)

Neuroclassicism is the view that cognition is explained by “classical” computing mechanisms in the nervous system that exhibit a clear demarcation between processing machinery and read–write memory. The psychologist C. R. Gallistel has mounted a sophisticated defense of neuroclassicism by drawing from ethology and computability theory to argue that animal brains necessarily contain read–write memory mechanisms. This argument threatens to undermine the “connectionist” orthodoxy in contemporary neuroscience, which does not seem to recognize any such mechanisms. In this paper I argue (...) that the neuroclassicist critique rests on a misunderstanding of how computability theory constrains theorizing about natural computing mechanisms. (shrink)

In a series of papers, Schwitzgebel has attempted to revive the dispositionalist account of belief by tweaking it a little and claiming a previously unconsidered advantage over representationalism. The tweaks are to include phenomenal and cognitive responses, in addition to overt behaviour, in the manifestations of a given belief; and to soften the account of dispositions by allowing for dispositional stereotypes. The alleged advantage is that dispositionalism can deal with what Schwitzgebel calls cases of in‐between belief, whereas representationalism cannot. In (...) this paper we argue that Schwitzgebel's attempted improvements do not succeed and that, as an account of belief, dispositionalism is seen to be unsatisfactory. The case for this verdict also enables the representationalist position to be enhanced by drawing attention to the diversity of formats in which beliefs are stored. (shrink)

A theory of truth is language-transcendent if it ascribes truth conditions to truth-bearers that are not expressible in our natural language; a theory is language-immanent if it is not language-transcendent. In this paper, I argue for the following theses. Whether the correct theory of truth is language-transcendent or language-immanent will have significant consequences for general philosophy. Prima facie, a language-transcendent theory is preferable. However, language-transcendent theories tend to require substantive metaphysical commitments concerning truth. Deflationist theories are particularly interesting in this (...) context. I argue that, if deflationism is to remain consistent with its motivations, then it must opt for a language-immanent conception of truth. (shrink)

In this introduction to the Synthese SI: The Cultural Evolution of Human Social Cognition, we introduce some basic theoretical terms that will help readers to navigate the volume. Subsequently we describe the papers that make up the volume and draw attention to points of agreement and disagreement between the authors. We also identify a number of outstanding issues for the field of cultural evolution research. The papers in the volume can be divided into three sections: The Cultural Evolution of Mindreading, (...) The Cultural Evolution of Ethics and Aesthetics, and Methodological Challenges. (shrink)

In Word and Object, W.V. Quine made thinkable the idea that speech and cognition bear a burden of semantic indeterminacy. On Quine’s account, the upshot of semantic indeterminacy is that meaning and mentalism resist successful naturalization, and thus fail the test of scientific respectibility. For Quine, semantic indeterminacy is a fatal shortcoming.Recent attempts to naturalize meaning in our thought and our talk (e.g. Dretske 1981, Fodor 1987), belonging to a tradition that has thrived in reaction to Quine, have sought to (...) nail down semantic properties in a scientifically respectable fashion, avoiding the scourge of indeterminacy. However, both Quine and the new redeemers of mentalism may have missed the boat. Three case studies offered here will suggest that a thriving theory of visual perception still makes room for some rather striking indeterminacies. (shrink)

I offer support for the view that physicalist theories of cognition don't reduce to neurophysiological theories. On my view, the mind-brain relationship is to be explained in terms of evolutionary forces, some of which tug in the direction of a reductionistic mind-brain relationship, and some of which which tug in the opposite direction. This theory of forces makes possible an anti-reductionist account of the cognitive mind-brain relationship which avoids psychophysical anomalism. This theory thus also responds to the complaint which arguably (...) lies behind the Churchlands' strongest criticisms of anti-reductionism — namely the complaint that anti-reductionists fail to supply principled explanations for the character of the mind-brain relationship. While lending support to anti-reductionism, the view defended here also insures a permanent place for mind-brain reduction as an explanatory ideal analogous to Newtonian inertial motion or Aristotelian natural motion. (shrink)

This paper seeks to understand machine cognition. The nature of machine cognition has been shrouded in incomprehensibility. We have often encountered familiar arguments in cognitive science that human cognition is still faintly understood. This paper will argue that machine cognition is far less understood than even human cognition despite the fact that a lot about computer architecture and computational operations is known. Even if there have been putative claims about the transparency of the notion of machine computations, these claims do (...) not hold out in unraveling machine cognition, let alone machine consciousness (if there is any such thing). The nature and form of machine cognition remains further confused also because of attempts to explain human cognition in terms of computation and to model/simulate (aspects of) human cognitive processing in machines. Given that these problems in characterizing machine cognition persist, a view of machine cognition that aims to avoid these problems is outlined. The argument that is advanced is that something becomes a computation in machines only when a human interprets it, which is a kind of semiotic causation. From this it follows that a computing machine is not engaged in a computation unless a human interprets what it is doing; instead, it is engaged in machine cognition, which is defined as a member or subset of the set of all possible mappings of inputs to outputs. The human interpretation, which is a semiotic process, gives meaning to what a machine does, and then what it does becomes a computation. (shrink)

An influential view in cognitive science is that computation in cognitive systems is semantic, conceptually depending on representation: to compute is to manipulate representations. I argue that accepting the non-semantic teleomechanistic view of computation lays the ground for a promising alternative strategy, in which computation helps to explain and naturalise representation, rather than the other way around. I show that this computation-based approach to representation presents six decisive advantages over the semantic view. I claim that it can improve the two (...) most influential current theories of representation, teleosemantics and structural representation, by providing them with precious tools to tackle some of their main shortcomings. In addition, the computation-based approach opens up interesting new theoretical paths for the project of naturalising representation, in which teleology plays a role in individuating computations, but not representations. (shrink)

The generic pronoun 'one' (or its empty counterpart, arbitrary PRO) exhibits a range of properties that show a special connection to the first person, or rather the relevant intentional agent (speaker, addressee, or described agent). The paper argues that generic 'one' involves generic quantification in which the predicate is applied to a given entity ‘as if’ to the relevant agent himself. This is best understood in terms of simulation, a central notion in some recent developments in the philosophy of mind (...) and cognitive science (Simulation Theory). (shrink)