Josefa Toribio

Let’s consider the following paradox (Fodor [1989], Jackson and Petit [1988] [1992], Drestke [1988], Block [1991], Lepore and Loewer [1987], Lewis [1986], Segal and Sober [1991]): i) The intentional content of a thought (or any other intentional state) is causally relevant to its behavioural (and other) effects. ii) Intentional content is nothing but the meaning of internal representations. But, iii) Internal processors are only sensitive to the syntactic structures of internal representations, not their meanings. Therefore it seems that if we want to defend the idea -absolutely plausible from an intuitive point of view- that mental / intentional states are causally responsible for behavioural outputs and we want to do it on the physicalist basis of any scientific methodology, we will have to give up the conviction that such intentional states qua intentional, i. e. as having a particular meaning, are the ones causally responsible for our behaviour. The path that takes us to mental epiphenomenalism is clear: 1) the causal powers of any event are completely determined by its physical properties; 2) although intentional properties supervene on physical properties, they can’t be identified with them; 3) intentional properties, as intentional, are not causally responsible for behaviour, because they don’t take part in the causal powers of the states to which they belong, i. e., intentional properties are epiphenomenal. Let’s consider now a different yet parallel position to the one just described. There is an important debate in cognitive science about whether the class of mechanisms to which we belong and which the computational modelling project of cognitive processes refers to is best represented by classical or connectionist approaches (McClelland, Rumelhart et. al [1986], Smolensky [1987] [1988], Fodor and Pylyshyn [1988], Pinker and Prince [1988], Clark [1989], Ramsey, Stich and Rumelhart [1991], Clark and Karmiloff-Smith [forthcoming]).In classical, serial processing models, information is encoded in terms of rules that have a linguistic character. In connectionist or parallel distributed processing (PDP) models, the causal relationships among the units that constitute the system determine how the information is processes by the network, although these units don’t have a direct semantic interpretation. But, for both, classical and connectionist models, all the computations can be explained without any reference to the content of the processed information, i.e., in both cases the properties that seem to be responsible for the system’s behaviour are ultimately physical properties nor intentional ones. This situation mirrors thus, within cognitive science, the philosophical discussion concerning the causal efficacy of semantic properties. Now, if in this debate we opt for the classical paradigm, there is a way of finding a solution to the computational version of the epiphenomenalism paradox. This solution is based mainly on the notion of supervenience or, more precisely, on the notion of mereological supervenience (Kim [1984] [1988])1 . The idea of intentional properties supervening on physical properties makes sense within the classical context because there exists an easily isolable supervenience base comprising the syntactic items in the socalled language of thought. But, what happens if we opt for the connectionist paradigm?. The situation here doesn’t seem to favour the use of the same supervenience strategy. For it has been argued (Ramsey, Stich and Garon [1991]) that beliefs, desires, and other mental states are nor, in the connectionist paradigm, individuable as weight or activation states of the system. This is because information is encoded by the network in distributed and superpositional representations, i.e., there are no straightforwardly isolable vehicles at the physical level that can be identified as the articulated supervenience base on which the semantic properties supervene2 . If this is true, then the connectionist not only loses the battle against epiphenomenalism but more drastically, seems to offer a standing invitation to eliminativism, since talk of beliefs and desires, etc. now seems to be floating free of any acceptable scientific underpinning, i.e., she has lost the necessary theoretical apparatus for supporting the intuitive idea that propositional attitudes -beliefs, desires and any mental states with semantic content- are physically realized. This second line of argumentation doesn’t take us to a paradox but to a dilemma: either we accept eliminativism, if connectionist hypothesis are correct or we defend the causal efficacy of mental states with semantic content by showing that, after all, connectionist networks are not plausible cognitive models (Davies [1991]). From my point of view, however, both lines of argumentation need to be revised. The aim of this paper is to find an account of the causal efficacy of content that avoids the aforementioned epiphenomenalist objections and that doesn’t require the discovery of inner symbols in the computational modelling of such contentful mental states. In short, the aim is to find a meeting point where a philosophical story about content and cause and the connectionist computational model can be brought together (Cfr. Clark [1989]).

Summarizes and illuminates two decades of research Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, information science, psychology, neuroscience, iconography, and philosophy. Examines initial efforts and the latest controversies The topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineageof major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning. Provides a gamut of perspectives The editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. The substantive introductions that accompany each volume further organize the material and provide readers with a working sense of the issues and the connection between articles.

Semantic properties are not commonly held to be part of the basic ontological furniture of the world. Consequently, we confront a problem: how to 'naturalize' semantics so as to reveal these properties in their true ontological colors? Dominant naturalistic theories address semantic properties as properties of some other kind. The reductionistic flavor is unmistakable. The following quote from Fodor's Psychosemantics is probably the contemporary locus classicus of this trend. Fodor is commendably unapologetic: "I suppose that sooner or later the physicists will complete the catalogue they've been compiling of the ultimate and irreducible properties of things. When they do, the likes of spin, charm, and charge will perhaps appear upon their list. But aboutness surely won't; intentionality simply doesn't go that deep. It's hard to see, in the face of this consideration, how one can be a Realist about intentionality without also being, to some extent or other, a Reductionist. If the semantic and the intentional are real properties of things, it must be in virtue of their identity with properties that are themselves neither intentional nor semantic. If aboutness is real, it must be really something else." Notice the shape of this explanatory project. Intentional properties will count as real in virtue of their identity with, or supervenience on, some set of lower-level physical properties. Fodor thus assumes, in effect, that the program of naturalization demands a higher-to-lower, top-to-bottom, kind of explanatory strategy. This paper addresses precisely that assumption, namely, that the non-semantic properties on which semantic properties depend, belong to what are intuitively lower levels of description than the intentional level itself. It also questions the higher-to-lower explanatory scheme associated with that assumption. My discussion of this topic draws on Robert Brandom's recent work and can be considered an analysis of Brandom's stance and its implications. The discussion should help to explain the general lack of progress in the project of naturalizing content. It should also help show why attempts to eliminate the normative vocabulary employed in specifying the practices that guide the use of a language are unlikely to succeed. I shall start by displaying the general order of explanation that characterizes typical naturalization projects, showing that even when a full reduction to physics is avoided, some important assumptions inherited from the explanatory model of physics remain. These include the demand for an array of causal explanations couched in terms of ultimate properties of the world, and the idea that such non-semantic properties should be constitutive of whatever semantic properties are in question. Extending Brandom's idea that the normativity of content is not reducible to physics, I shall argue that even such residual demands are inappropriate. More positively, I suggest that, despite the deep irreducibility of the normative dimension of content, we need not consider that dimension either primitive or inexplicable. Instead, such normative aspects can be unpacked by invoking a different, lower-to-higher, explanatory scheme in which the explanans includes higher level features such as skilled know-how and social frames of action.

There is a compelling idea in the air. Both contemporary philosophers of mind and philosophers of language are engaged in developing theories of content that are naturalistic. The stand has been taken: semantic properties are not part of the primitive ontological furniture of the world. If we want to vindicate those properties as real, we will have to show that it is possible to unpack them into some other –primitive– set of properties. It is taken for granted that there is no alternative way of avoiding circularity in explaining the semantic properties of mental or linguistic representations. The following quote from Fodor's Psychosemantics is probably the locus classicus for this trend: "I suppose that sooner or later the physicists will complete the catalogue they've been compiling of the ultimate and irreducible properties of things. When they do, the likes of spin, charm, and charge will perhaps appear upon their list. But aboutness surely won't; intentionality simply doesn't go that deep. It's hard to see, in the face of this consideration, how one can be a Realist about intentionality without also being, to some extent or other, a Reductionist. If the semantic and the intentional are real properties of things, it must be in virtue of their identity with properties that are themselves neither intentional nor semantic. If aboutness is real, it must be really something else." The naturalistic project seems thus to be deeply rooted in the search for a non-circular, explanatory account of intentional categories. Although, in principle, one should not take naturalism in regard to some realm as committing one to any sort of reductive explanation of that realm, in the context of contemporary philosophy of mind and philosophy of language, naturalism and reductionism como easily upon a meeting point. The reason is that explanatory, non-circular answers are taken to be reductionist. If this is correct, we would have to conclude that naturalism entails reductionism or, even more strongly, that naturalism is constitutively dependent upon the defense of a reductionist thesis. In this case, we would have to admit that there cannot be a non-reductionist naturalistic theory of content. The main aim of this paper is to cast some light on the issue of what naturalism means regarding a theory of content. It is a matter of a some urgency to find out exactly what it takes for a theory of content to be naturalistic. Until we do so, we cannot properly evaluate the existing theories. I will center my discussion of this topic on the question of whether naturalistic theories of content ought to be reductionist theories. The claim I want to defend is that, despite the current trend regarding the relations between naturalism and reductionism, the former is not constitutively dependent upon the latter. I will argue that, in fact, the strong requirements of a reductionist thesis are the very reason the project of naturalization seems to be doomed. However, I will try to show that once we have weakened those requirements, non-reductionist answers are certainly acceptable, in the sense of being informative, non-circular, and above all, explanatory. I propose a safe[r] characterization of naturalism that seems to better fit our theoretical views about content, and to turn the whole project into a more promising enterprise.

"Consciousness", it is widely agreed, does not name any single cognitive phenomenon. But nor is the gathering of distinct phenomena under that single label an accident. What seems to unify the range of cognitive goods in this "variety store" is the central yet elusive notion of the availability of some content or feeling in subjective experience. The paper begins by building a rough taxonomy of the various ways different approaches have tried to give an account of this central target. Among these approaches there are two to which special attention is paid. According to the first, our very cognitive constitution makes the issue of subjective experience scientifically intractable . According to the second , the philosophical worries about the subjectivity of experience are solved once consciousness is analyzed as the result of a long process of evolution that turns the flexible architecture of the brain into a virtual sequential machine. It is my contention that noconceptual argument of the first kind can establish the impossibility of one day achieving a scientific understanding of the property of being conscious. It is also my contention that a better understanding of the underlying neurophysiological and computational mechanisms is needed if Dennett′s theory is to resolve, rather than side-step, those problems related to the subjective phenomenology of consciousness. In short, I aim to show that there is no cause to regard a scientific theory of subjective experience to be in principle unobtainable. But that, contra Dennett, the form of such a scientific understanding is not yet clear

Recent evidence regarding a novel functionality of the mirror neuron system , a so-called 'space mirror mechanism', seems to reinforce the central role of the MNS in social cognition. According to the space mirror hypothesis, neural mirroring accounts for understanding not just what an observed agent is doing, but also the range of potential actions that a suitably located object affords an observed agent in the absence of any motor behaviour. This paper aims to show that the advocate of this space mirror hypothesis faces a crippling dilemma. Either what observed agents can do remains underdetermined by space mirror representations, and no proper understanding of action potentiality is gained; or, if it is just understanding of potential motor acts that is achieved through the sensorimotor representations generated by shared object-related affordances, the very explanatory role of space mirroring is compromised

On the Origin of Objects is, at heart, an extended search for a non-circular and nonreductive characterization of two key notions: intentionality and computation. Only a non-circular and non-reductive account of these key notions can, Smith believes, provide a secure platform for a proper understanding of the mind. The project has both a negative and a positive aspect. Negatively, Smith rejects views that attempt to identify the key notions with lower-level physical properties, arguing instead for a more abstract and systemic understanding. This negative effort occupies Part I of the book. In Part II, we encounter the positive side of Smith's proposal: an attempt to develop a non-reductive analysis of computation and meaning able to meet the requirements laid out in Part I. One purpose of this critical review is to lay out this project in fairly simple terms. This is necessary since Smith's own treatment and prose sometimes obscures the flow of the argument. I suggest that, properly understood, Smith's proposal bears a clear affinity to ideas emerging from the dynamical systems movement within Cognitive Science, and that this tie-in can help put flesh on several of the more metaphorical characterizations in the book. My main criticism is that the book ultimately fails to provide an account able to meet Smith's own requirements for a truly non-reductive account of intentionality. This is especially the case regarding Smith's commitment to licensing a partition of the world based on no a priori assumptions whatsoever. The exercise is a valuable one, however, since it forces us to look harder at some foundational assumptions and at least hints at a new and refreshing perspective: one in which the key explanatory relations are grounded in facts about human practice and pragmatically established social norms.

Peacocke's characterization of what he calls implicit conceptions recognizes the significance of a subset of contentful states in making rational behavior intelligible. What Peacocke has to offer in this paper is an account of why we need implicit conceptions; how we can discover them; what they explain; what they are; and how they can help us to better understand some issues in the theory of meaning and the theory of knowledge. The rationalist tradition in which Peacocke's project ought to be located is concerned with the nature of understanding. His notion of implicit conceptions is invoked to explain non-straightforwardly inferential but rational patterns of concept-involving behavior. We come to know about implicit conceptions because we treat the thinker's practices as having a certain representational content. They are implicit in what the thinker does. I intend to focus on the question of what implicit conceptions are. I will argue for the following position: that —even at the personal level— certain inferential principles underlie the process that leads to the thinker's reliably differential responses and that subsequently point us in the direction of a notion such as that of an implicit conception. More precisely, I will argue that practical inferential processes are involved in the understanding-based capacities that support our ascription of personal-level implicit conceptions to the thinker. If I am right, then Peacocke's implicit conceptions don't preclude acceptance of personal-level conceptual role theories because that practical inferential articulation, i.e. that conceptual role, is the implicit conception itself.

In this paper I approach the debate over non-human animals’ concepts from a metaphilosophical perspective. I compare exemplars of a full-fledged and an austere view of concepts and concept possession. A deflationist response to these views main- tains that the austere and the full-fledged theorist each makes claims that are true when they, respectively, assert and deny ‘nonhuman animals have concepts’. I will argue that the deflationist response is misplaced, using an analogy with the debate over the putative non-conceptual content of perceptual experience. The argument turns on the type of intentional explanation that the austere view on concept posses- sion can support. For the deflationist response to be sustainable, adherents of the aus- tere view would need to have substantially weaker commitments to the explanatory power of their account of concepts and concept possession than, in fact, they do.

The main goal of this paper is to defend the thesis that the content of know-how states is an accuracy assessable type of nonconceptual content. My argument proceeds in two stages. I argue, first, that the intellectualist distinction between types of ways of grasping the same kind of content is uninformative unless it is tied in with a distinction between kinds of contents. Second, I consider and reject the objection that, if the content of know-how states is non-conceptual, it will be mysterious why attributions of knowing how create opaque contexts. I show that the objection conflates two distinct issues: the nature of the content of know-how states and the semantic evaluability of know-how ascriptions.

Peacocke's characterization of what he calls implicit conceptions recognizes the significance of a subset of contentful states in making rational behavior intelligible. What Peacocke has to offer in this paper is an account of (i) why we need implicit conceptions; (ii) how we can discover them; (iii) what they explain; (iv) what they are; and (v) how they can help us to better understand some issues in the theory of meaning and the theory of knowledge. The rationalist tradition in which Peacocke's project ought to be located is concerned with the nature of understanding. His notion of implicit conceptions is invoked to explain non-straightforwardly inferential but rational patterns of concept-involving behavior. We come to know about implicit conceptions because we treat the thinker's practices as having a certain representational content. They are implicit in what the thinker does. I intend to focus on the question of what implicit conceptions are (although in doing so some of the other aspects will also come to the fore). I will argue for the following position: that —even at the personal level— certain inferential principles underlie the process that leads to the thinker's reliably differential responses and that subsequently point us in the direction of a notion such as that of an implicit conception. More precisely, I will argue that practical inferential processes are involved in the understanding-based capacities that support our ascription of personal-level implicit conceptions to the thinker. If I am right, then Peacocke's implicit conceptions don't preclude acceptance of personal-level conceptual-role theories because that practical inferential articulation, i.e. that conceptual role, is the implicit conception itself.

One common factor underlying the set of disciplines clustered together under the label of Cognitive Science is a computational model of the mind. Cognitive capacities are to be treated as information-processing operations and to be characterized in computational terms. Computational processes are defined, in turn, in terms of operations on representations. For a few years, one of the most important debates in Cognitive Science has been whether the class of mechanisms to which cognizers belong and to which the computational modelling project of cognitive processes refers is best represented by classical or connectionist approaches. In either a classical or connectionist fashion though, the cognitive scientific style has remained computational all the way through.

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