On the occasion of a first conference on Cognitive Science, it seems appropriate to review the basis of common understanding between the various disciplines. In my estimate, the most fundamental contribution so far of artificial intelligence and computer science to the joint enterprise of cognitive science has been the notion of a physical symbol system, i.e., the concept of a broad class of systems capable of having and manipulating symbols, yet realizable in the physical universe. The notion of (...) class='Hi'>symbol so defined is internal to this concept, so it becomes a hypothesis that this notion of symbols includes the symbols that we humans use every day of our lives. In this paper we attempt systematically, but plainly, to lay out the nature of physical symbol systems. Such a review is in ways familiar, but not thereby useless. Restatement of fundamentals is an important exercise. (shrink)

There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the symbol grounding problem : How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their (...) shapes, be grounded in anything but other meaningless symbols? The problem is analogous to trying to learn Chinese from a Chinese/Chinese dictionary alone. A candidate solution is sketched: Symbolic representations must be grounded bottom-up in nonsymbolic representations of two kinds: iconic representations, which are analogs of the proximal sensory projections of distal objects and events, and categorical representations, which are learned and innate feature-detectors that pick out the invariant features of object and event categories from their sensory projections. Elementary symbols are the names of these object and event categories, assigned on the basis of their categorical representations. Higher-order symbolic representations, grounded in these elementary symbols, consist of symbol strings describing category membership relations. Connectionism is one natural candidate for the mechanism that learns the invariant features underlying categorical representations, thereby connecting names to the proximal projections of the distal objects they stand for. In this way connectionism can be seen as a complementary component in a hybrid nonsymbolic/symbolic model of the mind, rather than a rival to purely symbolic modeling. Such a hybrid model would not have an autonomous symbolic module, however; the symbolic functions would emerge as an intrinsically dedicated symbol system as a consequence of the bottom-up grounding of categories ' names in their sensory representations. Symbol manipulation would be governed not just by the arbitrary shapes of the symbol tokens, but by the nonarbitrary shapes of the icons and category invariants in which they are grounded. (shrink)

Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...) brain capture bottom-up patterns of activation in sensory-motor areas. Later, in a top-down manner, association areas partially reactivate sensory-motor areas to implement perceptual symbols. The stor- age and reactivation of perceptual symbols operates at the level of perceptual components – not at the level of holistic perceptual expe- riences. Through the use of selective attention, schematic representations of perceptual components are extracted from experience and stored in memory (e.g., individual memories of green, purr, hot). As memories of the same component become organized around a com- mon frame, they implement a simulator that produces limitless simulations of the component (e.g., simulations of purr). Not only do such simulators develop for aspects of sensory experience, they also develop for aspects of proprioception (e.g., lift, run) and introspec- tion (e.g., compare, memory, happy, hungry). Once established, these simulators implement a basic conceptual system that represents types, supports categorization, and produces categorical inferences. These simulators further support productivity, propositions, and ab- stract concepts, thereby implementing a fully functional conceptual system. Productivity results from integrating simulators combinato- rially and recursively to produce complex simulations. Propositions result from binding simulators to perceived individuals to represent type-token relations. Abstract concepts are grounded in complex simulations of combined physical and introspective events. Thus, a per- ceptual theory of knowledge can implement a fully functional conceptual system while avoiding problems associated with amodal sym- bol systems. Implications for cognition, neuroscience, evolution, development, and artificial intelligence are explored. (shrink)

Reprint, in paper covers, of the Columbia U. Press edition of 1990. Annotation copyright by Book News, Inc., Portland, OR.

A great deal of research has focused on the question of whether or not concepts are embodied as a rule. Supporters of embodiment have pointed to studies that implicate affective and sensorimotor systems in cognitive tasks, while critics of embodiment have offered nonembodied explanations of these results and pointed to studies that implicate amodal systems. Abstract concepts have tended to be viewed as an important test case in this polemical debate. This essay argues that we need to move beyond a (...) pretheoretical notion of abstraction. Against the background of current research and theory, abstract concepts do not pose a single, unified problem for embodied cognition but, instead, three distinct problems: the problem of generalization, the problem of flexibility, and the problem of disembodiment. Identifying these problems provides a conceptual framework for critically evaluating, and perhaps improving upon, recent theoretical proposals. (shrink)

The concept of representation has become almost inextricably bound to the concept of symbol systems. the concepts is nowhere more prevalent than in descriptions of "internal representations." These representations are thought to occur in an internal symbol system that allows the brain to store and use information. In this paper we explore a different approach to understanding psychological processes, one that retains a commitment to representations and computations but that is not based on the idea that information must (...) be stored and manipulated in symbol systems. In particular, we suggest that the notion of a symbol system as currently understood construes psychological processes in terms of a specific type of computational system, in which a control function "reads," "interprets," and manipulates discrete entities called "symbols." We argue that other types of computational systems may provide a more appropriate characterization of psychological processes. One implication of our argument is the need to consider the constraints placed on computational theories in psychology by the nature of the computing device itself, the human brain. Perhaps surprisingly, this implication leads us to the conclusion that a "functionalist" conception of psychological processes (discussed below) does not entail that physiology is irrelevant to psychology, as has been maintained by prominent adherents of the symbol-systems approach. (shrink)

An approach to music as an instrument of philosophical inquiry, seeking not so much a philosophy of music as a philosophy through music.

No detailed description available for "Archaic Logic".

This paper develops a bridge from AL issues about the symbol–matter relation to AI issues about symbol-grounding by focusing on the concepts of formality and syntactic interpretability. Using the DNA triplet-amino acid specification relation as a paradigm, it is argued that syntactic properties can be grounded as high-level features of the non-syntactic interactions in a physical dynamical system. This argu- ment provides the basis for a rebuttal of John Searle’s recent assertion that syntax is observer-relative (1990, 1992). But (...) the argument as developed also challenges the classic symbol-processing theory of mind against which Searle is arguing, as well as the strong AL thesis that life is realizable in a purely computational medium. Finally, it provides a new line of support for the autonomous systems approach in AL and AI (Varela & Bourgine 1992a, 1992b). © 1997 Academic Press. (shrink)

Eugen Fink is considered one of the clearest interpreters of phenomenology and was the preferred conversational partner of Edmund Husserl and Martin Heidegger. In Play as Symbol of the World, Fink offers an original phenomenology of play as he attempts to understand the world through the experience of play. He affirms the philosophical significance of play, why it is more than idle amusement, and reflects on the movement from "child's play" to "cosmic play." Well-known for its non-technical, literary style, (...) this skillful translation by Ian Alexander Moore and Christopher Turner invites engagement with Fink's philosophy of play and related writings on sports, festivals, and ancient cult practices. (shrink)

First published in 1976, Schizophrenia: The Sacred Symbol of Psychiatry examines the concept of schizophrenia and the origins of its classification as a disease. Szasz convincing argues that rather than a medical diagnosis, the word schizophrenia is a symbol employed by psychiatrists as a means of control.

Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.

This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically committed (...) and hence that none of them provides a valid solution to the SGP, which remains an open problem. (shrink)

Connectionism and computationalism are currently vying for hegemony in cognitive modeling. At first glance the opposition seems incoherent, because connectionism is itself computational, but the form of computationalism that has been the prime candidate for encoding the "language of thought" has been symbolic computationalism (Dietrich 1990, Fodor 1975, Harnad 1990c; Newell 1980; Pylyshyn 1984), whereas connectionism is nonsymbolic (Fodor & Pylyshyn 1988, or, as some have hopefully dubbed it, "subsymbolic" Smolensky 1988). This paper will examine what is and is not (...) a symbol system. A hybrid nonsymbolic/symbolic system will be sketched in which the meanings of the symbols are grounded bottom-up in the system's capacity to discriminate and identify the objects they refer to. Neural nets are one possible mechanism for learning the invariants in the analog sensory projection on which successful categorization is based. "Categorical perception" (Harnad 1987a), in which similarity space is "warped" in the service of categorization, turns out to be exhibited by both people and nets, and may mediate the constraints exerted by the analog world of objects on the formal world of symbols. (shrink)

Computation is interpretable symbol manipulation. Symbols are objects that are manipulated on the basis of rules operating only on theirshapes, which are arbitrary in relation to what they can be interpreted as meaning. Even if one accepts the Church/Turing Thesis that computation is unique, universal and very near omnipotent, not everything is a computer, because not everything can be given a systematic interpretation; and certainly everything can''t be givenevery systematic interpretation. But even after computers and computation have been successfully (...) distinguished from other kinds of things, mental states will not just be the implementations of the right symbol systems, because of the symbol grounding problem: The interpretation of a symbol system is not intrinsic to the system; it is projected onto it by the interpreter. This is not true of our thoughts. We must accordingly be more than just computers. My guess is that the meanings of our symbols are grounded in the substrate of our robotic capacity to interact with that real world of objects, events and states of affairs that our symbols are systematically interpretable as being about. (shrink)

Classical cognitive science assumes that intelligently behaving systems must be symbol processors that are implemented in physical systems such as brains or digital computers. By contrast, connectionists suppose that symbol manipulating systems could be approximations of neural networks dynamics. Both classicists and connectionists argue that symbolic computation and subsymbolic dynamics are incompatible, though on different grounds. While classicists say that connectionist architectures and symbol processors are either incompatible or the former are mere implementations of the latter, connectionists (...) reply that neural networks might be incompatible with symbol processors because the latter cannot be implementations of the former. In this contribution, the notions of 'incompatibility' and 'implementation' will be criticized to show that they must be revised in the context of the dynamical system approach to cognitive science. Examples for implementations of symbol processors that are incompatible with respect to contextual topologies will be discussed. (shrink)

This short paper grew out of an observation—made in the course of a larger research project—of a surprising convergence between, on the one hand, certain themes in the work of Mary Hesse and Nelson Goodman in the 1950/60s and, on the other hand, recent work on the representational resources of science, in particular regarding model-based representation. The convergence between these more recent accounts of representation in science and the earlier proposals by Hesse and Goodman consists in the recognition that, in (...) order to secure successful representation in science, collective representational resources must be available. Such resources may take the form of (amongst others) mathematical formalisms, diagrammatic methods, notational rules, or—in the case of material models—conventions regarding the use and manipulation of the constituent parts. More often than not, an abstract characterization of such resources tells only half the story, as they are constituted equally by the pattern of (practical and theoretical) activities—such as instances of manipulation or inference—of the researchers who deploy them. In other words, representational resources need to be sustained by a social practice; this is what renders them collective representational resources in the first place. (shrink)

Cognitive scientists use computational models to represent the results of their experimental work and to guide further research. Neither of these claims is particularly controversial, but the philosophical and evidentiary statuses of these models are hotly debated. To clarify the issues, I return to Newell and Simon’s 1972 exposition on the computational approach; they herald its ability to describe mental operations despite that the neuroscience of the time could not. Using work on visual imagery (cf. imagination) as a guide, I (...) examine the extent to which this holds true today. Does contemporary neuroscience contain mechanisms capable of describing experimental results in imagery? I argue that it does not, first by exploring foundational achievements in imagery research then by showing that their neural basis cannot be specified. Newell and Simon’s methodological position accordingly stands, even 50 years later. Computational — as opposed to physiological — descriptions must be retained to characterize and study mental phenomena, even as we learn high-level details of their implementation via brain data. (shrink)

We are far removed, in this section of the Encyclopedia on memory, from the mnemotechnic icons described by Francis Yates in The Art of Memory and much closer to Augustine's advice about how to remember and to psalmodize Scripture. Memory, for Hegel, is the learning by rote of names, or of words considered as names, and it can therefore not be separated from the notation, the inscription, or the writing down of these names. In order to remember, one is forced (...) to write down what one is likely to forget. The idea in other words, makes its sensory appearance, in Hegel, as the material inscription of names. Thought is entirely dependent on a mental faculty that is mechanical through and through, as remote as can be from the sounds and the images of the imagination or from the dark mine of recollection, which lies beyond the reach of words and of thought[…]No wonder, then, that Hegel's Aesthetics turns out to be a double and possibly duplicitous text. Dedicated to the preservation and the monumentalization of classical art, it also contains all the elements which make such a preservation impossible from the start. Theoretical reasons prevent the convergence of the apparently historical and the properly theoretical components of the work. This results in the enigmatic statements that have troubled Hegel's readers, such as the assertion that art is for us a thing of the past. This has usually been interpreted and criticized or, in some rare instances, praised as a historical diagnosis disproven or borne out by actual history. We can now assert that the two statements "art is for us a thing of the past" and "the beautiful is the sensory manifestation of the idea" are in fact one and the same. To the extent that the paradigm for art is thought rather than perception, the sign rather than the symbol, writing rather than painting or music, it will also be memorization rather than recollection. As such, it belongs indeed to a past which, in Proust's words, could never be recaptured, retrouve. Art is "of the past" in a radical sense, in that, like memorization, it leaves the interiorization of experience forever behind. It is of the past to the extent that it materially inscribes, and thus forever forgets, its ideal content. The reconciliation of the two main theses of the Aesthetics occurs at the expense of the aesthetic as a stable philosophical category. What the Aesthetics calls the beautiful terms turns out to be, also, something very remote from what we associate with the suggestiveness of symbolic form.Paul de Man, Sterling Professor of the Humanities at Yale University, is the author of Blindness and Insight and Allegories of Reading and is currently completing a book tentatively titled The Resistance to Theory. His previous contributions to Critical Inquiry are "Political Allegory in Rousseau", "The Epistemology of Metaphor", and "A Letter". (shrink)

This article is written in the style and method of an autoethnography that focuses on the author's spiritual journey with God while living with chronic pain. The labyrinth is used as a metaphor and spiritual tool to describe this journey. The author's personal experience with religion and spirituality is described as well as the choice of moving from thinking about God being 'out there', far away and looking upon God's creation to discovering God within - God 'right here'. The affects (...) and effects of living with chronic pain are discussed in reference to the process of walking the circuits of a labyrinth. The role of different people who played a part in this journey is highlighted. This way of writing corresponds with a narrative way of living which concentrates on deconstruction of dominant discourses and looking for outcomes that may lead to hope and transformation. The difference between rainbow hope and reasonable hope is explained and the consequence of choosing reasonable hope is discussed. Transformation of the person through the journey becomes apparent in the article. (shrink)

The Arewa symbol is much more than an emblem or a decorative pattern for the people of Northern Nigeria. It is an embodiment of their rich religious, cultural and philosophical heritage. While several works have been written on the Arewa symbol, this paper distinguishes itself by its focus on the interaction of philosophy, culture, and theological ideals in the Arewa symbol. The symbol is, therefore, a metaphorical expression of the philosophical, theological and cultural principles of the (...) Northern region’s heritage. For the purpose of achieving the aim and objectives of this paper, the historical, hermeneutic and analytical methods of inquiry will be used. The paper discovered that the Arewa symbol captures the very essence of Hausa identity and the enduring legacy of Northern Nigeria’s rich tapestry of beliefs, traditions, and wisdom. (shrink)