This article presents recent developments in the Geneva modular and interactionist approach to discourse organization. The first section analyses the main epistemological, theoretical and methodological properties of the Geneva Model by examining its relationship to data, communicative action, complexity and discourse organization, and then outlines the Geneva Model's modular methodology. The second section of the article focuses on a text extract from a service encounter and applies some aspects of the modular methodology to the analysis of request sequences. The authors (...) argue that requests cannot be reduced to the utterance of single speech acts but are best described as complex discourse practices linking praxeological information, conceptual knowledge and textual competence. (shrink)

Barristers in England are obliged to follow the ‘cab rank rule’, according to which they must take any case offered to them, as long as they have time in their.

It is crucial, first of all, to stress the importance Churchland attaches to the idea that the neural networks whose assemblages he holds to be “engines of reason” must be recurrent. Non-recurrent networks, of the sort best known among philosophers, simply discover patterns in input data presented to them as sets of features. The learning capacities of such networks, extensively discussed since the publication of Rumelhart and McClelland et al., are indeed impressive; and Churchland describes them clearly and gracefully as (...) preparation for introducing recurrent networks. Now, the importance of recurrence as a feature of the networks Churchland hypothesizes as forming the basis of cognitive activity is well motivated. A cognitive system that was an assembly of non-recurrent networks would be, in essence, a stimulus-response machine of the sort that early behaviourists took themselves to be studying when they examined the mind/brain. Such a system could learn to find novel patterns in data. However, it is empirically evident that human— and some non-human—cognitive capacities go well beyond this. People dream, imagine scenarios that never existed, reconceptualize their perceptions, and theorize. All these activities seem to require not merely inferring patterns from data, but reconceiving the nature of the data itself in light of the inferential structures built through learning. For this to be possible, the data cannot be “clamped,” as they are in the case of non-recurrent networks. Hence the importance of recurrence. A recurrent network can be defined as one which takes some or all of its own output and then treats that output as a source of input. This allows for the recognition of meta-patterns. Furthermore, if some such networks are feeding their output as input to other networks with which they are linked, the possibility of reasoning and conceptualizing by analogy arises; and this ability, as Churchland argues, seems to be an essential aspect of genuine creativity in science, art, and the continuously ongoing re-design of the social order. The actual existence of simulated recurrent networks, and the capacities they demonstrate, constitute an impressive possibility argument that a system with enormous cognitive plasticity and behavioural flexibility could be built out of parallel distributed processing networks, so long as at least many of these networks were recurrent. The importance of this possibility argument should not be under-emphasized, but it of course invites an obvious question: how good are our grounds for supposing that the possibility in question is actually realized in the biological domain? (shrink)

I propose a semi-eliminative reduction of Fodors concept of module to the concept of attractor basin which is used in Cognitive Dynamic Systems Theory (DST). I show how attractor basins perform the same explanatory function as modules in several DST based research program. Attractor basins in some organic dynamic systems have even been able to perform cognitive functions which are equivalent to the If/Then/Else loop in the computer language LISP. I suggest directions for future research programs which could find similar (...) equivalencies between organic dynamic systems and other cognitive functions. This type of research could help us discover how (and/or if) it is possible to use Dynamic Systems Theory to more accurately model the cognitive functions that are now being modeled by subroutines in Symbolic AI computer models. If such a reduction of subroutines to basins of attraction is possible, it could free AI from the limitations that prompted Fodor to say that it was impossible to model certain higher level cognitive functions. (shrink)

Gavagai! or the Future History of the Animal Language Controversy. By DAVID PREMACK.

In this article, I defend Neo-Gricean accounts of language and communication from an objection about linguistic development. According to this objection, children are incapable of understanding the minds of others in the way that Neo-Gricean accounts require until long after they learn the meanings of words, are able to produce meaningful utterances, and understand the meaningful utterances of others. In answering this challenge, I outline exactly what sorts of psychological states are required by Neo-Gricean accounts and conclude that there is (...) sufficient evidence that these types of psychological states are present in and capable of being understood by the children in question. (shrink)

Engineers use neural networks to control systems too complex for conventional engineering solutions. To examine the behavior of individual hidden units would defeat the purpose of this approach because it would be largely uninterpretable. Yet neurophysiologists spend their careers doing just that! Hidden units contain bits and scraps of signals that yield only arcane hints about network function and no information about how its individual units process signals. Most literature on single-unit recordings attests to this grim fact. On the other (...) hand, knowing a system's function and describing it with elegant mathematics tell one very little about what to expect of interneuronal behavior. Examples of simple networks based on neurophysiology are taken from the oculomotor literature to suggest how single-unit interpretability might decrease with increasing task complexity. It is argued that trying to explain how any real neural network works on a cell-by-cell, reductionist basis is futile and we may have to be content with trying to understand the brain at higher levels of organization. (shrink)

We agree with Müller's epigenetic view of evolution and ontogeny and applaud his multilevel perspective. With him, we stress the importance in ontogeny of progressive specialisation rather than prewired structures. However, we argue that he slips from “speech” to “language” and that, in seeking homologies, these two levels need to be kept separate in the analysis of evolution and ontogeny.

This paper concerns the dialectal role of Frege Cases in the debate between Concept Cartesians and Concept Pragmatists. I take as a starting point Christopher Peacocke’s argument that, unlike Cartesianism, his ‘Fregean’ Pragmatism can account for facts about the rationality and epistemic status of certain judgments. I argue that since this argument presupposes that the rationality of thoughts turn on their content, it is thus question-begging against Cartesians, who claim that issues about rationality turn on the form, not the content, (...) of thoughts. I then consider Jerry Fodor’s argument that ‘modes of presentation’ are not identical with Fregean senses, and argue that explanatory considerations should leads us to reject his ‘syntactic’ treatment of Frege cases. Rejecting the Cartesian treatment of Frege cases, however, is not tantamount to accepting Peacocke’s claim that reasons and rationality are central to the individuation of concepts. For I argue that we can steer a middle course between Fodor’s Cartesianism and Peacocke’s Pragmatism, and adopt a form of Pragmatism that is constrained by Fregean considerations, but at the same time denies that concepts are constitutively tied to reasons and rationality. (shrink)

Understanding novel phrases (e.g. upside‐down daisy) and classifying objects in categories named by phrases ought to have common properties, but you'd never know it from current theories. The best candidate for both jobs is the Theory Theory, but it faces difficulties when theories are impoverished. A potential solution is a dual approach that couples theories (representations‐about categories) with fixed mentalese expressions (representations‐of categories). Both representations combine information in parallel when understanding phrases. Although there are objections to the notion that theories (...) can combine, some of them lose their force when applied to a suitable dual model. (shrink)

The debate between proponents and opponents of a role for empirical psychology in ethical theory seems to be deadlocked. This paper aims to clarify the terms of that debate, and to defend a principled middle position. I argue against extreme views, which see empirical psychology either as irrelevant to, or as wholly displacing, reflective moral inquiry. Instead, I argue that moral theorists of all stripes are committed to a certain conception of moral thought—as aimed at abstracting away from individual inclinations (...) and toward interpersonal norms—and that this conception tells against both extremes. Since we cannot always know introspectively whether our particular moral judgments achieve this interpersonal standard, we must seek the sort of self-knowledge offered by empirical psychology. Yet reflective assessment of this new information remains a matter of substantive normative theorizing, rather than an immediate consequence of empirical findings themselves. (shrink)

If we think of perceptual expertise, we might think ofa neurologist interpreting a CAT scan or an astronomerlooking at a star. But perceptual expertise is notlimited to ‘experts’. Perceptual expertise is atthe heart of our everyday competence in the world. Wenavigate around obstacles, we take turns inconversations, we make left-turns in face of on-comingtraffic. Each of us is a perceptual expert (thoughonly in certain domains). If we misunderstandperceptual expertise, we risk misunderstanding ourepistemic relationship to the world. I argue that thestandard (...) arguments for the received view of perceptualexpertise are problematic at best. Of course, theissue of whether the received view is actually correctis an empirical issue. But the decision to adopt thereceived view, I argue, was not a scientific decision,but was made by inheriting a philosophical tradition– which many philosophers today would question. (shrink)

This is a reminiscence and short biographical sketch of the late philosopher and cognitive scientist Jerry Fodor. It includes a summary of his main proposals about the mind: his “Language of Thought” hypothesis; his rejection of analyticity and conceptual role semantics; his “mad dog nativism”; his proposal of mental modules and—by contrast—his skepticism about a computational theory of central cognition; his anti‐reductionist, but still physicalist, views about psychology; and, lastly, his attacks on selectionism. I conclude with some discussion of his (...) idiosyncratic style and of his aesthetic and other interests. An appendix provides some memorable quotes. (shrink)

The aim of this contribution is to broaden the concept of musical meaning from an abstract and emotionally neutral cognitive representation to an emotion-integrating description that is related to the evolutionary approach to music. Starting from the dispositional machinery for dealing with music as a temporal and sounding phenomenon, musical emotions are considered as adaptive responses to be aroused in human beings as the product of neural structures that are specialized for their processing. A theoretical and empirical background is provided (...) in order to bring together the findings of music and emotion studies and the evolutionary approach to musical meaning. The theoretical grounding elaborates on the transition from referential to affective semantics, the distinction between expression and induction of emotions, and the tension between discrete-digital and analog-continuous processing of the sounds. The empirical background provides evidence from several findings such as infant-directed speech, referential emotive vocalizations and separation calls in lower mammals, the distinction between the acoustic and vehicle mode of sound perception, and the bodily and physiological reactions to the sounds. It is argued, finally, that early affective processing reflects the way emotions make our bodies feel, which in turn reflects on the emotions expressed and decoded. As such, there is a dynamic tension between nature and nurture, which is reflected in the nature-nurture-nature cycle of musical sense-making. (shrink)

This paper scrutinizes two research programs that advocate respectively for the existence of a universal moral grammar and a predisposition to moralize behaviours with certain contents. It focuses on how the arguments commonly used to ground each program fare at relevant contemporary research in cognitive science and how well they meet constructivist arguments proposed by Jesse Prinz and Kim Sterelny, among others. We argue that there is little evidence that our moral judgements follow the model of principles and parameters. At (...) the same time, ‘ease of learning’ suggests that the human brain is somehow prepared to learn moral rules.Cet article analyse deux programmes de recherche qui soutiennent, respectivement, l’existence d’une grammaire morale universelle et d’une prédisposition à assigner des valeurs morales à des comportements liés à certains contenus. Nous proposons d’évaluer les arguments utilisés par chaque programme en regard de la recherche contemporaine en sciences cognitives, et aussi de vérifier s’ils répondent aux objections constructivistes proposées entre autres par Jesse Prinz et Kim Sterelny. Nous montrons qu’il n’y a pas de preuves suffisantes comme quoi nos jugements moraux suivent le modèle des principes et des paramètres. La «facilité d’apprentissage» suggère, néanmoins, que le cerveau humain est en quelque sorte préparé à apprendre les règles morales. (shrink)

The cognitive mind-brain is haunted by the ghost of consciousness. Cognitive science must face this ghost, since consciousness is perhaps the most important mental phenomenon: it forms a seemingly united, multimodal phenomenological world around the subject who experiences this world from a certain point of view. Many current approaches to consciousness fail to illuminate the nature of this “experienced world”. Some philosophers want to eliminate consciousness from science for good, others build theories in which the concept of consciousness is distorted (...) beyond recognition. I argue that elimination and Daniel Dennett's “multiple drafts” model do not offer genuine explanations for consciousness. However, certain empirically-based approaches to consciousness succeed in exorcising its ghostly reputation and, at the same time, in preserving the experienced world of consciousness as an important explanandum. (shrink)

Fodor argues that our minds must have epistemic limitations because there must be endogenous constraints on the class of concepts we can acquire. However, his argument for the existence of these endogenous constraints is falsified by the phenomenon of the deferential acquisition of concepts. If we allow for the acquisition of concepts through deferring to experts and scientific instruments, then our conceptual capacity will be without endogenous constraints, and there will be no reason to think that our minds are epistemically (...) bounded. (shrink)

How can abductive reasoning be physical, feasible, and reliable? This is Fodor’s riddle of abduction, and its apparent intractability is the cause of Fodor’s recent pessimism regarding the prospects for cognitive science. I argue that this riddle can be solved if we augment the computational theory of mind to allow for non-computational mental processes, such as those posited by classical associationists and contemporary connectionists. The resulting hybrid theory appeals to computational mechanisms to explain the semantic coherence of inference and associative (...) mechanisms to explain the efficient retrieval of relevant information from memory. The interaction of these mechanisms explains how abduction can be physical, feasible, and reliable. (shrink)