Cognitive representation is the single most important explanatory notion in the sciences of the mind and has served as the cornerstone for the so-called 'cognitive revolution'. This book critically examines the ways in which philosophers and cognitive scientists appeal to representations in their theories, and argues that there is considerable confusion about the nature of representational states. This has led to an excessive over-application of the notion - especially in many of the fresher theories in computational neuroscience. Representation (...) Reconsidered shows how psychological research is actually moving in a non-representational direction, revealing a radical, though largely unnoticed, shift in our basic understanding of how the mind works. (shrink)

Georges Rey presents a much-needed philosophical defense of Noam Chomsky's famous view of human language, as an internal, innate computational system. But he also offers a critical examination of problematic developments of this view, to do with innateness, ontology, intentionality, and other issues of interdisciplinary interest.

The on-going debate over the ‘admissible contents of perceptual experience’ concerns the range of properties that human beings are directly acquainted with in perceptual experience. Regarding vision, it is relatively uncontroversial that the following properties can figure in the contents of visual experience: colour, shape, illumination, spatial relations, motion, and texture. The controversy begins when we ask whether any properties besides these figure in visual experience. We argue that ‘ensemble properties’ should be added to the list of visually admissible properties. (...) Ensemble properties are features that belong to a set of perceptible objects as a whole as opposed to the individuals that constitute that set. They include such features as the mean size of an array of shapes or the average emotional expression of an array of faces. Recent work in vision science has yielded compelling evidence that the visual system routinely encodes such properties. We argue that epistemological considerations provide strong reasons to think that these properties figure in visual experience. Judgements about ensemble properties are immediately warranted by our perceptual experience, and the only plausible way that a perceptual experience could confer this warrant is if it confers awareness of ensemble properties. (shrink)

This article provides a survey of the emerging debate on the political representation of nonhuman animals. In Section 1, I identify some of the reasons why the interests of animals are often disregarded in policy-making, and present two arguments why these interests should be considered. In Section 2, I introduce four institutional proposals that have been discussed in the relevant literature. Section 3 attempts to make explicit the underlying logic of each proposal (i.e. which specific problems it wants to (...) tackle). Section 4 discusses some of the main normative pros and cons of each proposal. (shrink)

Hilary Putnam, who may have been the first philosopher to advance the notion that the computer is an apt model for the mind, takes a radically new view of his...

In the first chapter of his The World, Descartes compares light to words and discusses signs and ideas. This made scholars read into that passage our views of language as a representational medium and consider it Descartes’ model for representation in perception. I show, by contrast, that Descartes does not ascribe there any representational role to language; that to be a sign is for him to have a kind of causal role; and that he is concerned there only with (...) the cause’s lack of resemblance to its effect, not with the representation’s lack of resemblance to what it represents. I support this interpretation by comparisons with other places in Descartes’ corpus and with earlier authors, Descartes’ likely sources. This interpretation may shed light both on Descartes’ understanding of the functioning of language and on the development of his theory of representation in perception. (shrink)

A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding (...) features of the represented world; themedium, or the representation's physical instantiation; and thedynamics, or how the system changes with time. In part because of the behaviorist assumption that the hypothetical, covert changes occurring in an organism during learning correspond to the overt physical changes that are observed, issues of representation in animal behavior have been largely ignored as irrelevant or misleading. However, it can be inferred that representations, acting as models of environmental regularities, operate at many levels of behavioral functioning, both cognitive and noncognitive. Objections to the use of this concept in explanations of animal behavior, based on the claim that it is indeterminate and on behaviorist considerations of parsimony, can be answered. Animal representations may be specialized in terms of tasks and species. Data from tasks involving spatial memory, delayed matching-to-sample, and sequence learning suggest some foundations for a general theory of animal representations. (shrink)

The notion of a "mental representation" is, arguably, in the first instance a theoretical construct of cognitive science. As such, it is a basic concept of the Computational Theory of Mind, according to which cognitive states and processes are constituted by the occurrence, transformation and storage (in the mind/brain) of information-bearing structures (representations) of one kind or another.

In the nearly half a century since its modern inception (Anscombe (1965), Hintikka (1969)), the Representation theory has faced no more implacable enemy than Ned Block. He has offered objection after objection, usually in the form of apparent counterexamples, and as I write this he shows no sign of flagging.

In Historical Representation Frank Ankersmit seeks a juste milieu between postmodern theory and historical practice. But he still insists that the meaning of a historical representation “is not found, but made in and by [the] text.” Thus “there will be nothing, outside the text itself, that can govern or check [the conceptualization].” Accordingly, “a representation itself cannot be interpreted as one large description. I would not hesitate to say that this—and nothing else—is the central problem in the (...) philosophy of history.” On the other hand, he affirms that “a historical representation ‘is about’ a certain part of the past,” that historical debate is a “semantic quarrel not about the exact meaning of words, but about the past.” Everything hinges on how to grasp this idea of “aboutness.” I propose an alternative reading of post-positivist philosophy of science in hopes of reaching the juste milieu. The issue is whether colligatory concepts in history have a more radically constructed character than theoretical terms in natural-scientific theory, and whether, as with the latter, they can make intersubjective claims to warrant. My view is that colligatory concepts in historical representations can be conceived to refer in roughly the same way that theoretical terms do in natural-scientific theories. All the problems I find in Ankersmit’s approach come to the fore in his fruitful analogy to portrait painting. First, the personality the portrait evokes is not restricted to the representation, but is of the sitter. We are offered insight not into painting but into an actual character. That is, there is a cognitive, not simply an aesthetic, dimension to representation. Historical terms pick out something intersubjectively affirmable in reality, and discrimination is possible among rival versions. The question is how to regard—to explain and to evaluate—these underdetermined objects of consideration, not to preclude them by stipulation. (shrink)

Representation theorems are often taken to provide the foundations for decision theory. First, they are taken to characterize degrees of belief and utilities. Second, they are taken to justify two fundamental rules of rationality: that we should have probabilistic degrees of belief and that we should act as expected utility maximizers. We argue that representation theorems cannot serve either of these foundational purposes, and that recent attempts to defend the foundational importance of representation theorems are unsuccessful. As (...) a result, we should reject these claims, and lay the foundations of decision theory on firmer ground. (shrink)

In this paper, I develop Mauricio Suárez’s distinction between denotation, epistemic representation, and faithful epistemic representation. I then outline an interpretational account of epistemic representation, according to which a vehicle represents a target for a certain user if and only if the user adopts an interpretation of the vehicle in terms of the target, which would allow them to perform valid (but not necessarily sound) surrogative inferences from the model to the system. The main difference between the (...) interpretational conception I defend here and Suárez’s inferential conception is that the interpretational account is a substantial account—interpretation is not just a “symptom” of representation; it is what makes something an epistemic representation of a something else. (shrink)

Here is an overview of what is to come. In Sections I and II, I will sketch two of the projects frequently pursued by moral philosophers, and the methods typically invoked in those projects. I will argue that these projects presuppose (or at least suggest) a particular sort of account of the mental representation of human value systems, since the methods make sense only if we assume a certain kind of story about how the human mind stores information about (...) values. The burden of my argument in Section III will be that while the jury is still out, there is some evidence suggesting that this account of mental representation is mistaken. If it is mistaken, it follows that two of the central methods of moral philosophy have to be substantially modified, or perhaps abandoned, and that the goals philosophers have sought to achieve with these methods may themselves be misguided. I fear that many of my philosophical colleagues will find this a quite radical suggestion. But if anything is clear in this area, it is that the methods we will be considering have not been conspicuously successful, though it certainly has not been for want of trying. So perhaps it is time for some radical, empirically informed rethinking of goals and methods in these parts of moral philosophy. (shrink)

The symposium before us examines aspects of the relationship between phenomenal consciousness and self-representation—in particular, the alleged capacity of some mental state to represent themselves. The hypothesis under consideration is that all and only conscious states are self-representational in this way. The symposium contains two papers favoring the hypothesis and two opposing it. Each paper is accompanied by a critical commentary.

The rise in computing and multimedia technology has spawned an increasing interest in the role of diagrams and sketches, not only for the purpose of conveying information but also for creative thinking and problem-solving. This book attempts to characterise the nature of "a science of diagrams" in a wide-ranging, multidisciplinary study that contains accounts of the most recent research results in computer science and psychology. Key topics include: cognitive aspects, formal aspects, and applications. It is a well-written and indispensable survey (...) for researchers and students in the fields of cognitive science, artificial intelligence, human-computer interaction, and graphics and visualisation. (shrink)

Even the simplest known living organisms are complex chemical processing systems. But how sophisticated is the behaviour that arises from this? We present a framework in which even bacteria can be identified as capable of representing information in arbitrary signal molecules, to facilitate altering their behaviour to optimise their food supplies, for example. Known asion/Representation theory, this framework makes precise the relationship between physical systems and abstract concepts. Originally developed to answer the question of when a physical system is (...) computing, AR theory naturally extends to the realm of biological systems to bring clarity to questions of computation at the cellular level. (shrink)

Representation has been one of the main themes in the recent discussion of models. Several authors have argued for a pragmatic approach to representation that takes users and their interpretations into account. It appears to me, however, that this emphasis on representation places excessive limitations on our view of models and their epistemic value. Models should rather be thought of as epistemic artifacts through which we gain knowledge in diverse ways. Approaching models this way stresses their materiality (...) and media-specificity. Focusing on models as multi-functional artifacts loosens them from any pre-established and fixed representational relationships and leads me to argue for a two-fold approach to representation. (shrink)

The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of (...) intelligent and personalized service. Based on this, this paper designs a cognitive information representation model based on a knowledge graph, which combines the perceptual information of industrial robot ontology with semantic description information such as functional attributes obtained from the Internet to form a structured and logically reasoned cognitive knowledge graph including perception layer and cognition layer. Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. The automatic representation of robot perceived information is realized, and the universality, systematicness, and intuition of robot cognitive information representation are enhanced, so that the cognition reasoning ability and knowledge retrieval efficiency of robots in the industrial Internet environment can be effectively improved. (shrink)

This paper is about the good side of modal logic, the bad side of modal logic, and how hybrid logic takes the good and fixes the bad.In essence, modal logic is a simple formalism for working with relational structures . But modal logic has no mechanism for referring to or reasoning about the individual nodes in such structures, and this lessens its effectiveness as a representation formalism. In their simplest form, hybrid logics are upgraded modal logics in which reference (...) to individual nodes is possible.But hybrid logic is a rather unusual modal upgrade. It pushes one simple idea as far as it will go: represent all information as formulas. This turns out to be the key needed to draw together a surprisingly diverse range of work . Moreover, it displays a number of knowledge representation issues in a new light, notably the importance of sorting. (shrink)

This paper discusses the relationship between the views of James and Royce on representation and their attempts to explain the "possibility of error," views which are, I argue, closer than many have thought. Appreciating where they do differ will point not only to an unstressed problem with Royces' argument for the Absolute but also to some unappreciated features of how James' account of truth ties in with his account of epistemic justification.

During the Cold War, arguments about representation were a significant part of international debates about democracy. Proponents of minimal democracy dominated these arguments, and their thin notions of representation became political common sense. I propose a view of representation that differs from the main views advocated during the Cold War. Representation has a central positive role in democratic politics: I gain political representation when my authorized representative tries to achieve my political aims, subject to dialogue (...) about those aims and to the use of mutually acceptable procedures for gaining them. Thus the opposite of representation is not participation. The opposite of representation is exclusion – and the opposite of participation is abstention. Rather than opposing participation to representation, we should try to improve representative practices and forms to make them more open, effective, and fair. (shrink)

8 chapters are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Many studies have observed modulation of the amplitude of the neural index mismatch negativity (MMN) related to which member of a phoneme contrast [phoneme A, phoneme B] serves as the frequent (standard) and which serves as the infrequent (deviant) stimulus (i.e., AAAB vs. BBBA) in an oddball paradigm. Explanations for this amplitude modulation range from acoustic to linguistic factors. We tested whether exchanging the role of the mid vowel /ε/ vs. high vowel /ɪ/ of English modulated MMN amplitude and whether (...) the pattern of modulation was compatible with an underspecification account, in which the underspecified height values are [−high] and [−low]. MMN was larger for /ε/ as the deviant, but only when compared across conditions to itself as the standard. For the within-condition comparison, MMN was larger to /ɪ/ deviant minus /ε/ standard than to the reverse. A condition order effect was also observed. MMN amplitude was smaller to the deviant stimulus if it had previously served as the standard. In addition, the amplitudes of late discriminative negativity (LDN) showed similar asymmetry. LDN was larger for deviant /ε/ than deviant /ɪ/ when compared to themselves as the standard. These findings were compatible with an underspecification account, but also with other accounts, such as the Natural Referent Vowel model and a prototype model; we also suggest that non-linguistic factors need to be carefully considered as additional sources of speech processing asymmetries. (shrink)

Theorizing about religious ritual systems from a cognitive viewpoint involves (1) modeling cognitive processes and their products and (2) demonstrating their influence on religious behavior. Particularly important for such an approach to the study of religious ritual is the modeling of participants' representations of ritual form. In pursuit of that goal, we presented in Rethinking Religion a theory of religious ritual form that involved two commitments. The theory’s first commitment is that the cognitive apparatus for the representation of action (...) in general is the same system deployed for the representation of religious ritual form. The differences between everyday action and religious ritual action turn out to be fairly minor from the standpoint of their cognitive representation. This system for the representation of action includes representations of agents. Whether we focus on an everyday action such as closing a door or a ritual action such as initiating a person into a religious group, our understanding of these forms of behavior as actions at all turns critically on recognizing agents. The theory's second crucial commitment (1990, p. 61) is that the roles of culturally postulated superhuman agents (CPS-agents hereafter) in participants' representations of religious rituals will prove pivotal in accounting for a wide variety of those rituals' properties. On our view religious ritual systems typically involve presumptions about CPS-agents. This theoretical commitment is orthogonal to the pervasive assumption throughout the study of religion that only meanings matter. By contrast, we hold that other things matter too (specifically, cognitive representations of religious ritual form). Large conflicts lurk behind the previous sentences but we cannot adequately address them here. For now we will only identify two of the most fundamental and comment on them briefly. First, amazingly (by our lights anyway), our claim that (conceptual) commitments to the existence of CPS-agents is the most important recurrent feature of religion across cultures is quite controversial.. (shrink)

One of the central tasks for naturalistic theories of representation is to say what it takes for something to be a representation, and some leading theories have been criticised for being too liberal. Prominent discussions of this problem have proposed a producer-oriented solution; it is argued that representations must be produced by systems employing perceptual constancy mechanisms. However, representations may be produced by simple transducers if they are consumed in the right way. It is characteristic of representations to (...) be consumed by systems which are capable of independent action. This paper defends this claim; discusses more precise, naturalistic formulations; and shows how it can illuminate the explanatory payoffs which science achieves by appealing to representation. (shrink)

Human self-consciousness operates at different levels of complexity and at least comprises five different levels of representational processes. These five levels are nonconceptual representation, conceptual representation, sentential representation, meta-representation, and iterative meta-representation. These different levels of representation can be operationalized by taking a first-person-perspective that is involved in representational processes on different levels of complexity. We refer to experiments that operationalize a first-person-perspective on the level of conceptual and meta-representational self-consciousness. Interestingly, these experiments show (...) converging evidence for a recruitment of medial cortical and parietal regions during taking a first-person-perspective, even when operating on different degrees of complexity. These data lend support for the speculative hypothesis, that there exist a neural signature for human self-consciousness that is recruited independent from the degree of representational complexity to be performed. (shrink)

A sentence like every circle is blue might be understood in terms of individuals and their properties or in terms of a relation between groups. Relatedly, theorists can specify the contents of universally quantified sentences in first-order or second-order terms. We offer new evidence that this logical first-order vs. second-order distinction corresponds to a psychologically robust individual vs. group distinction that has behavioral repercussions. Participants were shown displays of dots and asked to evaluate sentences with each, every, or all combined (...) with a predicate. We find that participants are better at estimating how many things the predicate applied to after evaluating sentences in which universal quantification is indicated with every or all, as opposed to each. We argue that every and all are understood in second-order terms that encourage group representation, while each is understood in first-order terms that encourage individual representation. Since the sentences that participants evaluate are truth-conditionally equivalent, our results also bear on questions concerning how meanings are related to truth-conditions. (shrink)

The concept of “representation” is used broadly and uncontroversially throughout neuroscience, in contrast to its highly controversial status within the philosophy of mind and cognitive science. In this paper I first discuss the way that the term is used within neuroscience, in particular describing the strategies by which representations are characterized empirically. I then relate the concept of representation within neuroscience to one that has developed within the field of machine learning. I argue that the recent success of (...) artificial neural networks on certain tasks such as visual object recognition reflects the degree to which those systems exhibit inherent inductive biases that reflect the structure of the physical world. I further argue that any system that is going to behave intelligently in the world must contain representations that reflect the structure of the world; otherwise, the system must perform unconstrained function approximation which is destined to fail due to the curse of dimensionality, in which the number of possible states of the world grows exponentially with the number of dimensions in the space of possible inputs. An analysis of these concepts in light of philosophical debates regarding the ontological status of representations suggests that the representations identified within both biological and artificial neural networks qualify as legitimate representations in the philosophical sense. (shrink)