The intentional stance is the strategy of prediction and explanation that attributes beliefs, desires, and other states to systems and predicts future behavior from what it would be rational for an agent to do, given those beliefs and desires. Any system whose performance can be thus predicted and explained is an intentional system, whatever its innards. The strategy of treating parts of the world as intentional systems is the foundation of but is also exploited in artificial intelligence and cognitive science (...) more generally, as well as in evolutionary theory. An analysis of the role of the intentional stance and its presuppositions supports a naturalistic theory of mental states and events, their content or intentionality, and the relation between levels of explanation and neurophysiological or mechanistic levels of explanation. As such, the analysis of the intentional stance grounds a theory of the mind and its relation to the body. (shrink)

John Austin's masterpiece, How to Do Things with Words, was not just a contribution to philosophy; it has proven to be a major contribution to linguistics, one of the founding documents o pragmatics, the investigation of how we use words to accomplish various ends in the social world. Strangely, not much attention has been paid by philosophers — or by psychologists and linguists — to how we use words in private, you might say, to think. As Wittgenstein once noted, ‘It (...) is very noteworthy that what goes on in thinking practically never interests us.’. (shrink)

For Jerry Fodor, Hume’sTreatise of Human Natureis “the foundational document of cognitive science” whose significance transcends mere historical interest: it is a source of theoretical inspiration in cognitive psychology. Here I am going to argue that those reading Hume along Fodor’s lines rely on a problematic, albeit inspiring, construction of Hume’s science of mind. My strategy in this paper is to contrast Fodor’s understanding of the Humean mind (consonant with the widely received view of Hume in both cognitive science and (...) much of Hume scholarship) with an alternative understanding that I propose. I thereby intend to show that the received view of Hume’s science of mind can be fruitfully revised while critically engaging with Fodor’s contemporary appropriation. Consequently, I use this occasion to put forward a rather unorthodox interpretation of Hume’s theory in dialogue with Fodor as my guide. (shrink)

This review essay critically discusses Andre Kukla's Methods of theoretical psychology. It is argued that Kukla mistakenly tries to build his case for theorizing in psychology as a separate discipline on a dubious distinction between theory and observation. He then argues that the demise of empiricism implies a return of some form of rationalism, which entails an autonomous role for theorizing in psychology. Having shown how this theory-observation dichotomy goes back to traditional and largely abandoned ideas in epistemology, an alternative (...) is presented in the guise of the pragmatist or functionalist tradition, where the interdependence of theory, observation and action is emphasized and the positivist dichotomy of pure observations and pure theory is rejected. Furthermore, we show how recent work on "active" perception supports the functionalist approach. Although the authors agree with Kukla that theory has a legitimate place in psychology, it is suggested that he needlessly limits its scope to autonomous domain-neutral theorizing, and that broadening its perspective to analyzing the presuppositions and implications of empirical work is a more fruitful approach. In fact, the attempt to find the epistemological and philosophical implications of empirical work in perception that is sketched in this review essay is, in the authors' view, a case of theorizing in psychology. (shrink)

Evolutionary psychology is put forward by its defenders as an extension of evolutionary biology, bringing psychology within the integrated causal chain of the hard sciences. It is extolled as a new paradigm for integrating psychology with the rest of science. We argue that such claims misrepresent the methods and explanations of evolutionary biology, and present a distorted view of the consequences that might be drawn from evolutionary biology for views of human nature. General theses about adaptation in biology are empty (...) schemata, not laws of nature allowing the subsumption of mind under biology. Functional thinking is an indispensable tool for psychology, mostly of value in abstractive unification and as a heuristic, but it gains little from association with evolutionary notions of selection. Thus, we argue, the cherished integrative causal model evaporates, and evolutionary phraseology serves no more than rhetorical purposes. Moreover, the universality of human nature and the evolutionary irrelevance of individual variation are presented as biological truths that psychologists should respect in their approach to mind. On closer inspection, this turns out to be rather dubious biology. Psychology might conceivably be better off as a continuation of biology by different means, but evolutionary psychology does not provide the conceptual integration leading to such a happy union. (shrink)

This introductory chapter attempts to clarify the philosophical, empirical, and theoretical bases on which a cognitive neuroscience approach to consciousness can be founded. We isolate three major empirical observations that any theory of consciousness should incorporate, namely (1) a considerable amount of processing is possible without consciousness, (2) attention is a prerequisite of consciousness, and (3) consciousness is required for some specific cognitive tasks, including those that require durable information maintenance, novel combinations of operations, or the spontaneous generation of intentional (...) behavior. We then propose a theoretical framework that synthesizes those facts: the hypothesis of a global neuronal workspace. This framework postulates that, at any given time, many modular cerebral networks are active in parallel and process information in an unconscious manner. An information becomes conscious, however, if the neural population that represents it is mobilized by top-down attentional amplification into a brain-scale state of coherent activity that involves many neurons distributed throughout the brain. The long-distance connectivity of these `workspace neurons' can, when they are active for a minimal duration, make the information available to a variety of processes including perceptual categorization, long-term memorization, evaluation, and intentional action. We postulate that this global availability of information through the workspace is what we subjectively experience as a conscious state. A complete theory of consciousness should explain why some cognitive and cerebral representations can be permanently or temporarily inaccessible to consciousness, what is the range of possible conscious contents, how they map onto specific cerebral circuits, and whether a generic neuronal mechanism underlies all of them. We confront the workspace model with those issues and identify novel experimental predictions. Neurophysiological, anatomical, and brain-imaging data strongly argue for a major role of prefrontal cortex, anterior cingulate, and the areas that connect to them, in creating the postulated brain-scale workspace. (shrink)

Two visual world experiments investigated the processing of the implicature associated with some using a “gumball paradigm.” On each trial, participants saw an image of a gumball machine with an upper chamber with orange and blue gumballs and an empty lower chamber. Gumballs dropped to the lower chamber, creating a contrast between a partitioned set of gumballs of one color and an unpartitioned set of the other. Participants then evaluated spoken statements, such as “You got some of the blue gumballs.” (...) Experiment 1 investigated the time course of the pragmatic enrichment from some to not all when the only utterance alternatives available to refer to the different sets were some and all. In Experiment 2, the number terms two, three, four, and five were also included in the set of alternatives. Scalar implicatures were delayed relative to the interpretation of literal statements with all only when number terms were available. The results are interpreted as evidence for a constraint-based account of scalar implicature processing. (shrink)

In Color for Philosophers C. L. Hardin argues that chromatic objectivism?a view which identifies colour with some or other property of objects?must be false. The upshot of Hardin's argument is this: there is, in fact, no principled correlation between physical properties and perceived colours. Since that correlation is a minimal condition for objectivism, objectivism is false. Mohan Matthen, who accepts Hardin's conclusion for what can be called "simple objectivism," takes it that an adaptationist theory of biological function applied to colour (...) is able to surmount the problems Hardin describes. It is Matthen's view that I am primarily concerned with in this paper. I will argue that it entails an overly simple view of adaptive value?as, perhaps, do all objectivist views. (shrink)

In the past decades, recent paradigm shifts in ethology, psychology, and the social sciences have given rise to various new disciplines like cognitive ethology and evolutionary psychology. These disciplines use concepts and theories of evolutionary biology to understand and explain the design, function and origin of the brain. I shall argue that there are several good reasons why this approach could also apply to human mathematical abilities. I will review evidence from various disciplines (cognitive ethology, cognitive psychology, cognitive archaeology and (...) neuropsychology) that suggests that the human capacity for mathematics is a category-specific domain of knowledge, hard-wired in the brain, which can be explained as the result of natural selection. (shrink)

Lerdahl and Jackendoff's Generative Theory of Tonal Music (GTTM) is an important contribution to cognitive science. Jackendoff claims it is a computationalist theory and that the mental representations it postulates are unconscious. Thus GTTM looks to be a kind of cognitive science remote from the folk-psychological. I argue that this picture of GTTM is mistaken: GTTM is at least as much music analysis as cognitive science. Jackendoff's metatheory fails to explain how a listener can tell that a structural description corresponds (...) to the way she hears, how analytically minded listeners can communicate about their hearing, and how a reader of their book can comprehend it. I suggest an alternative construal, on which GTTM's analytical vocabulary functions as a public language and its mental representations are perceptual beliefs. Interesting philosophical problems ensue about knowledge of musical structure and knowledge about what structures one hears. There is a paradox: one wants an analysis to be true to a hearing, yet to be illuminating. Though analysis and hearing coincide in content at an abstract level, they do not coincide in conceptual content. What sort of knowledge then underlies the inference from perceptual to music-analytical representation? I argue that such knowledge is a priori. (shrink)

The idea has recently taken root that evolutionary theory and social constructivism are less antagonistic than most theorists thought, and we have even seen attempts at integrating constructivist and evolutionary approaches to human thought and behaviour. We argue in this article that although the projected integration is possible, indeed valuable, the existing attempts have tended to be vague or overly simplistic about the claims of social constructivist. We proceed by examining how to give more precision and substance to the research (...) programme of evolutionary social constructivism, a task we accomplish by focusing on the specific selection pressures that may have shaped the psychological and cultural mechanisms that give rise to social constructions. The benefit of such an integration for social constructivism is to have a solid foundation in the natural sciences. For evolutionists, evolutionary social constructivism offers a wider assortment of methods with which to study the interplay between culture and human nature. (shrink)

The thesis of underdetermination presents a major obstacle to the epistemological claims of scientific realism. That thesis is regularly assumed in the philosophy of science, but is puzzlingly at odds with the actual history of science, in which empirically adequate theories are thin on the ground. We propose to advance a case for scientific realism which concentrates on the process of scientific reasoning rather than its theoretical products. Developing an account of causal–explanatory inference will make it easier to resist the (...) thesis of underdetermination. For, if we are not restricted to inference to the best explanation only at the level of major theories, we will be able to acknowledge that there is a structure in data sets which imposes serious constraints on possible theoretical alternatives. We describe how Differential Inference, a form of inference based on contrastive explanation, can be used in order to generate causal hypotheses. We then go on to consider how experimental manipulation of differences can be used to achieve Difference Closure, thereby confirming claims of causal efficacy and also eliminating possible confounds. The model of Differential Inference outlined here shows at least one way in which it is possible to ‘reason from the phenomena’. (shrink)

Cognitive psychology and cognitive science are concerned with a domain of cognition that is much broader than the realm of judgement, belief, and inference. The idea of states with semantic content is extended far beyond the space of reasons and justification. Within this broad class of states we should, however, differentiate between the states distinctive of thinking persons — centrally, beliefs, desires, and intentions — and other states. The idea of consciousness does not furnish a principle of demarcation. But the (...) distinction between states whose content is conceptualized by the person whose states they are and states for which this is not so is more promising. This principle of demarcation contains the seeds of a problem for distributed connectionism. The article ends with some more general reflections about cognitive science. (shrink)

Goldstein reported multiple cases of failure to categorise colours in patients that he termed amnesic or anomic aphasics. These patients have a particular difficulty in producing perceptual categories in the absence of other aphasic impairments. We hold that neuropsychological evidence supports the view that the task of colour categorisation is logically impossible without labels.

The paper makes three points about the role of double dissociation in cognitive neuropsychology. First, arguments from double dissociation to separate modules work by inference to the best, not the only possible, explanation. Second, in the development of computational cognitive neuropsychology, the contribution of connectionist cognitive science has been to broaden the range of potential explanations of double dissociation. As a result, the competition between explanations, and the characteristic features of the assessment of theories against the criteria of probability and (...) explanatory value, are more visible. Third, cognitive neuropsychology is a division of cognitive psychology but the practice of cognitive neuropsychology proceeds on assumptions that go beyond the subject matter of cognitive psychology. Given such assumptions, neuroscientific findings about lesion location may enhance the value of double dissociation in shifting the balance of support between cognitive theories. (shrink)

In this paper, I define tacit knowledge as a kind of causal-explanatory structure, mirroring the derivational structure in the theory that is tacitly known. On this definition, tacit knowledge does not have to be explicitly represented. I then take the notion of a modular theory, and project the idea of modularity to several different levels of description: in particular, to the processing level and the neurophysiological level. The fundamental description of a connectionist network lies at a level between the processing (...) level and the physiological level. At this level, connectionism involves a characteristic departure from modularity, and a correlative absence of syntactic structure. This is linked to the fact that tacit knowledge descriptions of networks are only approximately true. A consequence is that strict causal systematicity in cognitive processes poses a problem for the connectionist programme. (shrink)

‘Sentimentalism’ is an old-fashioned name for the philosophical suggestion that moral or evaluative concepts or properties depend somehow upon human sentiments. This general idea has proven attractive to a number of contemporary philosophers with little else in common. Yet most sentimentalists say very little about the nature of the sentiments to which they appeal, and many seem prepared to enlist almost any object-directed pleasant or unpleasant state of mind as a sentiment. Furthermore, because battles between sentimentalism and its rivals have (...) tended to be joined over large issues about realism and antirealism, or cognitivism and noncognitivism, some attractive reasons for adopting sentimentalism which are to some extent independent of these issues have been largely ignored in metaethical discussion. This paper aims to motivate sentimentalism, but also to circumscribe its ambitions by rendering explicit some tacit assumptions in moral psychology on which I think the most promising sentimentalism depends. I begin (in section one) by sketching the kind of sentimentalism that I want to defend. Then, in sections two and three, I articulate two positive arguments for a sentimentalist understanding of certain evaluative concepts. The arguments I consider have their origins in the writings of various other authors, I think, but neither they nor their consequences have been clearly articulated before. In section four, I explore just what the sentiments would have to be like in order to play the role required of them in the arguments I develop. I will suggest that these arguments supply a highly specific ‘job description’ for the states to which sentimentalism appeals. Hence, sentimentalists who want to use these arguments, or ones like them, cannot be as casual about what they mean by ‘sentiments’ as many have tended to be. I then investigate a category of ‘natural emotions’ that meets that job description rather nicely, and offer some reasons for doubting that more inclusive categories of.... (shrink)

Simulation Theory says we need not rely exclusively on prepositional knowledge of other minds in order to explain the actions of others. Seeking to know what you will do, I imagine myself in your situation, and see what decision I come up with. I argue that this conception of simulation naturally generalizes: various bits of our mental machine can be run‘off‐line’, fulfilling functions other than those they were made for. In particular, I suggest that visual imagery results when the visual (...) system is run off‐line. I briefly review the empirical evidence and consider the philosophical implications, particularly concerning the mode of mental representation in imagery. (shrink)

We outline a theory of one puzzling aspect of human cognition: a tendency to exaggerate the degree to which agency is manifested in the world. We call this over‐coherent thinking. We use Pylyshyn's idea of cognitive penetrability to help characterize this notion. We argue that this kind of thinking is essentially narrative in form rather than theoretical. We develop a theory of the relation between the degree of narrativity in a representation and its aptness to represent, and to express, mind. (...) We review the prospects for several theories about how over‐coherent thinking gains a purchase on motivation. We argue that progress in this difficult area may require the abandonment of a categorical belief/imagination distinction in favour of vaguely specified clusterings in a many‐dimensional cognitive space. We conclude with the idea that an error‐prone system for the retention of ideas that are low in some of the characteristics generally thought desirable in belief might emerge as a result of an arms‐race between deceivers and deceiver‐detectors. (shrink)

In this paper I argue that the cognitive system is best viewed as a continuum of cognitive processing from modules to central systems rather than having these as discrete and wholly different modes of cognitive processing. I rely on recent evidence on the development of theory of mind (ToM) abilities and the developmental disorder of autism. I then turn to the phenomenology of modular processes. I show that modular outputs have a stronger force than non-modular or central system outputs. I (...) then evaluate social cognitions and show them to occupy a middle ground with respect to phenomenal strength between modular and non-modular outputs. The evidence presented then seems to indicate a continuum of cognitive processing rather than the traditional division between modules and central systems. (shrink)

It has been commonplace in epistemology since its inception to idealize away from computational resource constraints, i.e., from the constraints of time and memory. One thought is that a kind of ideal rationality can be specified that ignores the constraints imposed by limited time and memory, and that actual cognitive performance can be seen as an interaction between the norms of ideal rationality and the practicalities of time and memory limitations. But a cornerstone of naturalistic epistemology is that normative assessment (...) is constrained by capacities: you cannot require someone to do something they cannot or, as it is usually put, ought implies can. This much we take to be uncontroversial. We argue that differences in architectures, goals and resources imply substantial differences in capacity, and that some of these differences are ineliminable. It follows that some differences in goals and architectural and computational resources matter at the normative level: they constrain what principles of normative epistemology can be used to describe and prescribe their behavior. As a result, we can expect there to be important epistemic differences between the way brains, individuals, and science work. (shrink)