Representation in Cognitive Science

There is some consensus among orthodox category theorists that the concept of adjoint functors is the most important concept contributed to mathematics by category theory. We give a heterodox treatment of adjoints using heteromorphisms that parses an adjunction into two separate parts. Then these separate parts can be recombined in a new way to define a cognate concept, the brain functor, to abstractly model the functions of perception and action of a brain. The treatment uses relatively simple category theory and (...) is focused on the interpretation and application of the mathematical concepts. (shrink)

We show how removing faith-based beliefs in current philosophies of classical and constructive mathematics admits formal, evidence-based, definitions of constructive mathematics; of a constructively well-defined logic of a formal mathematical language; and of a constructively well-defined model of such a language. -/- We argue that, from an evidence-based perspective, classical approaches which follow Hilbert's formal definitions of quantification can be labelled `theistic'; whilst constructive approaches based on Brouwer's philosophy of Intuitionism can be labelled `atheistic'. -/- We then adopt what may (...) be labelled a finitary, evidence-based, `agnostic' perspective and argue that Brouwerian atheism is merely a restricted perspective within the finitary agnostic perspective, whilst Hilbertian theism contradicts the finitary agnostic perspective. -/- We then consider the argument that Tarski's classic definitions permit an intelligence---whether human or mechanistic---to admit finitary, evidence-based, definitions of the satisfaction and truth of the atomic formulas of the first-order Peano Arithmetic PA over the domain N of the natural numbers in two, hitherto unsuspected and essentially different, ways. -/- We show that the two definitions correspond to two distinctly different---not necessarily evidence-based but complementary---assignments of satisfaction and truth to the compound formulas of PA over N. -/- We further show that the PA axioms are true over N, and that the PA rules of inference preserve truth over N, under both the complementary interpretations; and conclude some unsuspected constructive consequences of such complementarity for the foundations of mathematics, logic, philosophy, and the physical sciences. -/- . (shrink)

The problem of cognitive domains is that one can conceive the territory only as it is portrayed in the map. It involves conflating the domain of representation with the domain of what it represents. This is a category mistake: there are essential qualitative and quantitative differences between map and territory. The output of cognitive processes, both perceptual and scientific, is recycled as the input.

This paper presents a novel theory of what it is that makes vision a representational affair. Vision is a process of representation; a fact that does not depend on it being "contentfull" or "indirect". Even if it turns out that vision is direct and/or intrinsically "contentless", it is nevertheless defined by features that decisively make it count as a process or representation. The phenomenology of vision is key here: as we see, we are directly presented with aspects of the environment (...) that are at various distances away from us. Through the process of vision, aspects of the environment that would otherwise still be unavailable or “absent”, are made (quasi-)available, or (quasi-)present. This already by itself makes vision deserving of the name ‘representational’, even if those distant aspects of the world are presented to us directly and contentless. In part I, I provide a bit of an overview of the relevant theoretical landscape, and I give my own take on how we may frame and approach some of the issues with respect to mental representation. Then, in part II, I argue that the representational features of vision must primarily be sought at the level of conscious experience. In part III, I elaborate on the two most common theories that are associated with the view that vision is ‘representational’, and proceed to show that there is in fact a third, more direct, way in which vision can be considered as essentially a process of representation. Finally, in part IV, I show that the kind of interaction problems that arise with the more traditional notions of representation also arise with this newer, more direct, notion. (shrink)

It is agreed by most people that self-consciousness is the result of an evolutionary process, and that representations may have played an important role in that process. We would like to propose here that some evolutionary stages can highlight links existing between representations and the notion of self, opening a possible path to the nature of self-consciousness. Our starting point is to focus on representations as usage oriented items for the subject that carries them. These representations are about elements of (...) the environment including conspecifics, and can also represent parts of the subject without refering to a notion of self (we introduce the notion of "auto-representation" that does not carry the notion of self-representation). Next step uses the performance of intersubjectivity (mirror neurons level in evolution) where a subject has the capability to mentally simulate the observed action of a conspecific (Gallese 2001). We propose that this intersubjectivity allows the subject to identify his auto-representation with the representations of his conspecifics, and so to consider his auto-representation as existing in the environment. We show how this evolutionary stage can introduce a notion of self-representation for a subject, opening a road to self-conciousness and to self. This evolutionary approach to the self via self- representation is close to the current theory of the self linked to representations and simulations (Metzinger 2003). We use a scenario about how evolution has brought the performance of self-representation to self-consciousness. We develop a process describing how the anxiety increase resulting from identification with endangered or suffering conspecifics may have called for the development of tools to limit this anxiety (empathy, imitation, language), and how these tools have accelerated the evolutionary process through a positive feedback on intersubjectivity (Menant 2004, 2005). We finish by summarizing the points addressed, and propose some possible continuations. (shrink)

The notion of representation is at the foundation of cognitive sciences and is used in theories of mind and consciousness. Other notions like ‘embodiment’, 'intentionality‘, 'guidance theory' or ‘biosemantics’ have been associated to the notion of representation to introduce its functional aspect. We would like to propose here that a conception of 'usage related' representation eases its positioning in an evolutionary context, and opens new areas of investigation toward self-representation and self-consciousness. The subject is presented in five parts:Following an overall (...) presentation, the first part introduces a usage related representation as being an information managed by a system submitted to a constraint that has to be satisfied. We consider that such a system can generate a meaningful information by comparing its constraint to a received information (Menant 2003). We define a representation as being made of the received information and of the meaningful information. Such approach allows groundings in and out for the representation relatively to the system. The second part introduces the two types of representations we want to focus on for living organisms: representations of conspecifics and auto-representation, the latter being defined without using a notion of self-representation. Both types of representations have existed for our pre-human ancestors which can be compared to today great apes.In the third part, we use the performance of intersubjectivity as identified in group life with the presence of mirror neurons in the organisms. Mirror neurons have been discovered in the 90‘s (Rizzolatti & al.1996, Gallese & al.1996). The level of intersubjectivity that can be attributed to non human primates as related to mirror neurons is currently a subject of debate (Decety 2003). We consider that a limited intersubjectivity between pre-human primates made possible a merger of both types of representations. The fourth part proposes that such a merger of representations feeds the auto-representation with the meanings associated to the representations of conspecifics, namely the meanings associated to an entity perceived as existing in the environment. We propose that auto-representation carrying these new meanings makes up the first elements of self-representation. Intersubjectivity has allowed auto-representation to evolve into self-representation, avoiding the homunculus risk. The fifth part is a continuation to other presentations (Menant 2004, 2005) about possible evolution of self-representation into self-consciousness. We propose that identification with suffering or endangered conspecifics has increased anxiety, and that the tools used to limit this anxiety (development of empathy, imitation, language and group life) have provided a positive feedback on intersubjectivity and created an evolutionary engine for the organism. Other outcomes have also been possible. Such approach roots consciousness in emotions. The evolutionary scenario proposed here does not introduce explicitly the question of phenomenal consciousness (Block 1995). This question is to be addressed later with the help of this scenario.The conclusion lists the points introduced here with their possible continuations. (shrink)

Information and Meaning are present everywhere around us and within ourselves. Specific studies have been implemented in order to link information and meaning: - Semiotics - Phenomenology - Analytic Philosophy - Psychology No general coverage is available for the notion of meaning. We propose to complement this lack by a systemic approach to meaning generation.

Many philosophers worry that cognitive scientists apply the concept REPRESENTATION too liberally. For example, William Ramsey argues that scientists often ascribe natural representations according to the “receptor notion,” a causal account with absurd consequences. I rehabilitate the receptor notion by augmenting it with a background condition: that natural representations are ascribed only to systems construed as organisms. This Organism-Receptor account rationalizes our existing conceptual practice, including the fact that scientists in fact reject Ramsey’s absurd consequences. The Organism-Receptor account raises some (...) worrying questions, but as a more faithful characterization of scientific practice it is a better guide to conceptual reform. (shrink)

Motivated by the urgency of making explicit "the laws of possible rational passage from one concept to another", which Professor F. William Lawvere brought into figural salience for all to see, here we begin to characterize the space of all mathematical concepts (whose kinship with ordinary concepts was highlighted by none other than Einstein) which determines all possible rational passages between concepts.

Many ideas from Georg Nortoff’s works (published one paper in 2010, mainly his book in 2011, other papers in 2012, 2103, 2014, especially those related to Kant’s philosophy and the notion of the “observer”, the mind-brain problem, default mode network, the self, the mental states and their “correspondence” to the brain) are surprisingly very similar to my ideas published in my article from 2002, 2005 and my book from 2008. In two papers from 2002 (also my paper from 2005 and (...) my book 2008), following Kant’s philosophy, I introduced the notion of the “observer” for the mind-brain problem. After 2010 (mainly his book 2011 and other papers after this book), Nortoff also uses Kant’s philosophy (even if his knowledge about Kant’s philosophy is very superficial!) and the notion of the “observer” for the mind-brain problem in a methodology very similar to my methodology. Moreover, instead of EDWs, Nortoff uses a kind of “transdisciplinary” view, quite close to parallelism – the closest approach to my EDWs! In his works until 2014, Northoff’s conclusion within the unicorn world was different than my conclusion. However, in his book 2014 (two volumes) using notions like “correlations” and even “correspondences” many times, his conclusion is very closed to my EDWs! This dramatic change of framework in 3 years is quite unbelievable!!! Incredible many ideas from this book are very similar to my ideas from 2005 and 2008! (shrink)

When entering an environment, animals – including humans – tend to consult their memories to determine what they know about the place. This information is useful to determine: is this place safe? And what happens next? In this chapter, we argue on both empirical and conceptual grounds that memory is largely organized by space. Spatial relations determine what is recalled and which experiences are combined in generalizations. Time does not play an analogous role. We show that space and time in (...) memory are thus deeply asymmetrical. We conclude with a consequence of our view: spatial organization entails a basic form of abstraction in a way temporal organization does not, and so the spatial organization of memory reveals that memory involves generalization from the very beginning. (shrink)

In theories of cognition, 4E approaches to cognition are seen to refrain from employing robust representations in contrast to Predictive Processing, where such posits are utilized extensively. Despite this notable dissimilarity with regard to posits they employ in explaining certain cognitive phenomena, it has been repeatedly argued that they are in fact compatible. As one may expect, these arguments mostly end up contending either that Predictive Processing is actually nonrepresentational or that 4E approaches are representational. In this paper, I will (...) argue that such arguments are inadequate for the indicated purpose for several reasons: the variety of representational posits in Predictive Processing, the diverse attitudes of practitioners of 4E approaches toward representations and the unconstrained use of the term “representation” in cognitive science. Hence, here I will try to demonstrate that any single argument, if it depends on representational 4E approaches or nonrepresentational Predictive Processing, falls short of encompassing this heterogeneity in pertinent debates. Then, I will analyze similar arguments provided by Jacob Hohwy and Michael Kirchhoff to illustrate how destructive this seemingly ordinary criticism is. (shrink)

Over the past 50 years, philosophers and psychologists have perennially argued for the existence of analog mental representations of one type or another. This study critically reviews a number of these arguments as they pertain to three different types of mental representation: perceptual representations, imagery representations, and numerosity representations. Along the way, careful consideration is given to the meaning of “analog” presupposed by these arguments for analog mental representation, and to open avenues for future research.

To account for the explanatory role representations play in cognitive science, Egan’s deflationary account introduces a distinction between cognitive and mathematical contents. According to that account, only the latter are genuine explanatory posits of cognitive-scientific theories, as they represent the arguments and values cognitive devices need to represent to compute. Here, I argue that the deflationary account suffers from two important problems, whose roots trace back to the introduction of mathematical contents. First, I will argue that mathematical contents do not (...) satisfy important and widely accepted desiderata all theories of content are called to satisfy, such as content determinacy and naturalism. Secondly, I will claim that there are cases in which mathematical contents cannot play the explanatory role the deflationary account claims they play, proposing an empirical counterexample. Lastly, I will conclude the paper highlighting two important implications of my arguments, concerning recent theoretical proposals to naturalize representations via physical computation, and the popular predictive processing theory of cognition. (shrink)

The ability to perceive the shapes of things as enduring through changes in how they stimulate our sense organs is vital to our sense of stability in the world. But what sort of capacity is shape constancy, and how is it reflected in perceptual experience? This paper defends a pluralist account of shape constancy: There are multiple kinds of shape constancy centered on geometrical properties at various levels of abstraction, and properties at these various levels feature in the content of (...) perceptual experience, governing patterns of apparent shape similarity. I propose that the varieties of shape constancy are subserved by the syntactic complexity of perceptual shape representations. By assigning discrete constituents to various abstract shape parameters, these representations attune us to the preservation of certain abstract shape properties through changes in more determinate shape properties. Finally, I draw broader lessons concerning the nature and function of perceptual constancy. (shrink)

Mental fictionalism holds that folk psychology should be regarded as a kind of fiction. The present version gives a Lewisian prefix semantics for mentalistic discourse, where roughly, a mentalistic sentence “p” is true iff “p” is deducible from the folk psychological fiction. An eliminativist version of the view can seem self-refuting, but this charge is neutralized. Yet a different kind of “self-effacing” emerges: Mental fictionalism appears to be a mere “parasite” on a future science of cognition, without contributing anything substantial. (...) The paper then rebuts the objection, illustrating that prefix semantics resolves a lingering problem for eliminativism from Boghossian. The problem is that eliminativists seem unable to adopt realism about neuroscience, for such realism implies that neuroscientific statements *represent* reality accurately. However, a deflationary version of prefix semantics allows the eliminativist to draw an ontologically relevant distinction (roughly) between truths that have a story-telling prefix and those that do not. (Deflationism means there is no implication that the unprefixed sentences robustly represent reality.) The overarching lesson is that eliminativists need to approach to ontology carefully so to avoid self-refutation; however, prefix semantical mental fictionalism provides the resources for them to do so. (shrink)

Emotions can be insensitive to certain attributes of a situation: Fear of flying is not always reduced by remembering air crash probabilities. A large body of evidence shows that information on probabilities, large numerical counts, and intentions is frequently disregarded in the elicitation and regulation of emotions. To date, no existing theory comprehensively accounts for the features that tend to be overlooked by emotion. In this paper, I call attention to the common denominator of such features: they do not contribute (...) to the iconic representation of events. For instance, the exceedingly low probability of a plane crash does not affect its imagistic representation (i.e., the iconic representation of the event is silent about the event’s probability). This paper introduces the Iconic Prioritization Hypothesis, positing that the prioritization of input in the iconic format by emotions can explain the neglect of information that is representationally silent in this format. Delving into the causes of this format prioritization, I argue that emotion might favour iconicity as it is the format of immediate information about our surroundings (perception) and of stored first-hand evidence (episodic memory). Lastly, the hypothesis's compatibility with philosophical theories of emotion causation and its implications for experimental research are examined. (shrink)

What does the most fundamental type of perceptual (or mental) reference look like? One view suggests that perceptual reference requires representation-as, while another holds that it requires discriminating the perceived item. I distinguish five types of discrimination, three of which are personal-level and distinctively visual, and explain their implications and interrelations. Next, I argue that the plausibility of the claim that perceiving something requires discriminating it—rather than simply attributing properties to it—depends on the type of discrimination at issue. A weak (...) form of discrimination trivializes the debate, while stronger types of discrimination cannot be fully understood without incorporating representation-as. Thus, representation-as appears to form the more fundamental level of personal-level representation. (shrink)

The purpose of the paper is twofold. It first aims at clarifying and developing an important tension within enactivism concerning the relations between intentionality and content, once representationalism has been abandoned. In which sense(s) do enactivists (still) say that intentionality is contentful and not contentful? Secondly, it puts this tension in perspective with two paradigmatic ways of defining the relations between intentional states and their objects: Husserl’s theory of intentionality in the Logical Investigations, and Charles Sanders Peirce’s triadic semiotics.

Enactivism does not have its primary philosophical roots in pragmatism: phenomenology (from Husserl to Jonas) is its first source of inspiration (with the exception of Hutto & Myin’s radical enactivism). That does not exclude the benefits of pragmatist readings of enactivism, and of enactivist readings of pragmatism. After having sketched those readings, this paper focuses on the philosophical concept of intentionality. I show that whereas enactivists endorse the idea that intentionality is a base-level property of cognition, pragmatism offer(ed) us some (...) reasons not to proceed this way. It is therefore doubtful to hold that pragmatists and enactivists would converge in the defence of a common, non-representational conception of intentionality. (shrink)

Does low mood have intentional content? If so, what is it? Philosophers have tried to answer both questions by appealing to low mood’s phenomenal character. However, appeals to phenomenology have not settled this debate. Thus, I take a different approach: I tackle both questions by examining low mood’s complex functional role in cognition. I argue that if we take this role into account, we have excellent reason to believe that low mood a) has content, and b) has the following indicative-imperative (...) content: Good events are, on average, less likely to occur than bad events & Limit [the subject’s] resource expenditure! (shrink)

Abstract: Research on the nature and varieties of the format of cognitive representations in philosophy and cognitive science have been partly shaped by analogies to external, public representations. In this paper, we argue that relying on such analogies contributes to framing the question of cognitive formats in problematic, potentially counterproductive ways. We show that cognitive and public representations differ in many of their central features, making analogies to public representations ill-suited to improving our understanding of cognitive formats. We illustrate these (...) points by examining two case studies in which analogies to public representations may have had a negative impact on research: the 80’s-90’s debate about compositionality and cognitive architecture between symbolicists and connectionists; and contemporary discussions about the nature of visual demonstratives. Finally, we outline an alternative, computational account of formats that does not share the shortcomings of appeal to public representations. (shrink)

Philosophy and Phenomenological Research, EarlyView.

Some philosophers have argued that we do not hear sounds as located in the environment. Others have objected that this straightforwardly contradicts the phenomenology of auditory experience. And from this they draw metaphysical conclusions about the nature of sounds—that they are events or properties of vibrating surfaces rather than waves or sensations. I argue that there is a minimal, but recognizable, notion of audition to which this phenomenal objection does not apply. While this notion doesn’t correspond to our ordinary notion (...) of auditory experience, it does—in conjunction with our lack of an uncontroversial individuation of the senses and recent interest in distinctively multisensory features of perceptual experiences—raise the possibility of more expansive notions of audition, including some that do plausibly count as corresponding to our everyday notion of audition, that lack the spatial phenomenology cited in the objection. Until this possibility is ruled out, the phenomenal objection and metaphysical conclusions drawn from it remain inconclusive. (shrink)

Philosophy and Phenomenological Research, EarlyView.

This paper presents an argument for the realism about mechanisms, contents, and vehicles of mental representation at both the personal and subpersonal levels, and showcases its role in instrumental rationality and proper cognitive functioning. By demonstrating how misrepresentation is necessary for learning from mistakes and explaining certain failures of action, we argue that fallible rational agents must have mental representations with causally relevant vehicles of content. Our argument contributes to ongoing discussions in philosophy of mind and cognitive science by challenging (...) anti-realist views about the nature of mental representation, and by highlighting the importance of understanding how different agents can misrepresent in pursuit of their goals. While there are potential rebuttals to our claim, our opponents must explain how agents can be rational without having mental representations. This is because mental representation is grounded in rationality. (shrink)

This chapter explores the possibility of integrating the enactive and the Free Energy Principle’s (FEP) approaches to life and mind. Both frameworks have been linked to the life-mind continuity thesis, but recent debates challenge their potential integration. Critics argue that the enactive approach, rooted in autopoiesis theory, has an internalist view of life and a contentful view of cognition, making it challenging to account for adaptive behavior and minimal cognition. Similarly, some find the FEP’s stationary view of life biologically implausible. (...) Here, I address recent challenges in integrating the FEP and enactivism, thereby focusing on the life-mind continuity thesis. I suggest that the FEP, without explicitly defining life and mind, can be used to model the autopoietic dynamics of organisms. Additionally, I argue that the enactive conception of cognition as sense-making overcomes issues associated with contentful views of cognition. Furthermore, I refute the misinterpretation of the FEP’s assertion of stationary organisms, allowing for the modeling of enactive adaptive behavior through free energy minimization. Ultimately, I offer a constructive and interactionist approach to life and mind, transcending internalist and externalist perspectives. (shrink)

A typical claim in anti-representationalist approaches to cognition such as ecological psychology or radical embodied cognitive science is that ecological information is sufficient for guiding behavior. According to this view, affordances are immediately perceptually available to the agent (in the so-called “ambient energy array”), so sensory data does not require much further inner processing. As a consequence, mental representations are explanatorily idle: perception is immediate and direct. Here we offer one way to formalize this direct-perception claim and identify some important (...) limits to it. We argue that the claim should be read as saying that successful behavior just implies picking out affordance-related information from the ambient energy array. By relying on the Partial Information Decomposition framework, and more concretely on its development of the notion of synergy, we show that in multimodal perception, where various energy arrays carry affordance-related information, the “just pick out affordance-related information” approach is very inefficient, as it is bound to miss all synergistic components. Efficient multimodal information combination requires transmitting sensory-specific (and not affordance-specific) information to wherever it is that the various information streams are combined. The upshot is that some amount of computation is necessary for efficient affordance reconstruction. (shrink)

Structural representations are likely the most talked about representational posits in the contemporary debate over cognitive representations. Indeed, the debate surrounding them is so vast virtually every claim about them has been made. Some, for instance, claimed structural representations are different from indicators. Others argued they are the same. Some claimed structural representations mesh perfectly with mechanistic explanations, others argued they can’t in principle mash. Some claimed structural representations are central to predictive processing accounts of cognition, others rebuked predictive processing (...) networks are blissfully structural representation free. And so forth. Here, I suggest this confusing state of affairs is due to the fact that the term “structural representations” is applied to a number of distinct conceptions of representations. In this paper, I distinguish four such conceptions, argue that these four conceptions are actually distinct, and then show that such a fourfold distinction can be used to clarify some of the most pressing questions concerning structural representations and their role in cognitive theorizing, making these questions more easily answerable. (shrink)

This volume features new research about the philosophy of plant intelligence and plant cognition, one of the most intriguing and complex current debates at the intersection of biology, cognitive science and philosophy. The debate about plant cognition is marked by deep disagreements. Some theorists are confident that the empirical evidence supports the ascription of cognitive capacities to plants. Others hold that such claims are overblown, and defend more traditional, non-cognitive accounts of plant behavior. Still others seek to formulate intermediate positions. (...) This volume brings together leading researchers from across this theoretical spectrum to tackle the foundational questions that are at issue in the debate about plant cognition. The contributions focus on the philosophical questions raised by recent discoveries and controversies in the empirical sciences, such as: Can plants be said to have genuine cognitive abilities? Can they be characterized as representing or perceiving their environment, as pursuing goals, or even as having some form of conscious experience? Which data could provide evidence for such characterizations? And what are possible implications of these issues for general questions about the nature of cognition, representation, perception, and consciousness? Philosophy of Plant Cognition will be of interest to scholars and students working in philosophy of mind, philosophy of biology, cognitive science, and plant biology. (shrink)

It is commonly assumed that images, whether in the world or in the head, do not have a privileged analysis into constituent parts. They are thought to lack the sort of syntactic structure necessary for representing complex contents and entering into sophisticated patterns of inference. I reject this assumption. “Image grammars” are models in computer vision that articulate systematic principles governing the form and content of images. These models are empirically credible and can be construed as literal grammars for images. (...) Images can have rich syntactic structure, though of a markedly different form than sentences in language. (shrink)

In _Representation in Cognitive Science_, Nicholas Shea offers a theory of representation, of what it is for something to be a representation or have intentionality. Some things have intentionality derivatively. They have it in virtue of something else that has it. Not all intentionality can be like this. Some items must have original intentionality. That is what Shea offers a theory of. Near the end of the book, he makes a provocative suggestion about plants: if his theory is correct, then (...) some of their parts have original intentionality. That is provocative for at least two reasons. First, many theorists think that every cognitive system has original intentionality; since plants don’t have it, they’re not cognitive systems. However, if plants do have it, that argument fails. It can’t be used to show that plants aren’t cognitive systems. Second, and separately, many theorists think that any system with original intentionality is also a cognitive system. On that assumption, if plants turn out to have original intentionality, then they positively are cognitive systems. While Shea makes this suggestion with these provocative implications, he does not adequately develop it. Doing so is my goal in this essay, focusing on the foraging of parasitic vines. (shrink)

Although we encounter objects from a particular perspective, what we perceive and remember are typically whole objects. In ‘amodal completion’ our mind automatically fills in objects’ spatially occluded parts, and our memory then often discards information about the orientation from which the objects were perceived. An analogous phenomenon of ‘event completion’ has been demonstrated, which may be understood as the mind automatically filling in temporally occluded parts of events. Exemplifying typical experiments in this paradigm, Strickland and Keil (Strickland and Keil, (...) Cognition 121:409–415, 2011) showed participants videos depicting a causal event (e.g., someone kicking a ball), which was edited so that a crucial part was missing (e.g., the moment of contact between foot and ball). Subjects were more likely to falsely remember having seen the moment of contact if (and only if) it was strongly implied by subsequent footage. We use this phenomenon of event completion as a test case for comparing different theories of reference in memory. We argue that event completion puts pressure on both pure causal and pure descriptive theories of reference, and favors more nuanced hybrids of causal and descriptive theories, which integrate insights from cognitive and epistemic approaches. (shrink)

We propose a pluralist account of content for predictive processing systems. Our pluralism combines Millikan's teleosemantics with existing structural resemblance accounts. The paper has two goals. First, we outline how a teleosemantic treatment of signal passing in predictive processing systems would work, and how it integrates with structural resemblance accounts. We show that the core explanatory motivations and conceptual machinery of teleosemantics and predictive processing mesh together well. Second, we argue this pluralist approach expands the range of empirical cases to (...) which the predictive processing framework might be successfully applied. This is because our pluralism is practice-oriented. A range of different notions of content are used in the cognitive sciences to explain behaviour, and some of these cases look to employ teleosemantic notions. As a result, our pluralism gives predictive processing the scope to cover these cases. (shrink)

A constitutive theory of representation must address two challenges. The content determination challenge requires specifying why a particular state has a given content. The job description challenge requires spelling out the explanatory role that representational notions play in that theory. Recently, Nicholas Shea has advanced *varitel semantics* as a hybrid approach to representation to answer those challenges, supplementing teleosemantics with non-historical features –namely, exploitable relations and robustness. In this paper, I critically assess the hybrid theory’s answers to both challenges, arguing (...) that their hybrid nature undermines their merits. In each case, I will show that it is hard to establish how the alleged complementariness of the hybrid account components works. I will conclude that internal problems beset Shea’s theory of representation. (shrink)

Research on concepts has concentrated on the way people apply concepts online, when presented with a stimulus. Just as important, however, is the use of concepts offline, when planning what to do or thinking about what is the case. There is strong evidence that inferences driven by conceptual thought draw heavily on special-purpose resources: sensory, motoric, affective, and evaluative. At the same time, concepts afford general-purpose recombination and support domain-general reasoning processes—phenomena that have long been the focus of philosophers. There (...) is a growing consensus that a theory of concepts must encompass both kinds of process. This book shows how concepts are able to act as an interface between general-purpose reasoning and special-purpose systems. Concept-driven thinking can take advantage of the complementary costs and benefits of each. The book lays out an empirically-based account of the different ways in which thinking with concepts takes us to new conclusions and underpins planning, decision-making, and action. It also spells out three useful implications of the account. First, it allows us to reconstruct the commonplace idea that thinking draws on the meaning of a concept. Second, it offers an insight into how human cognition avoids the frame problem and the complementary, less discussed, ‘if-then problem’ for nested processing dispositions. Third, it shows that metacognition can apply to concepts and concept-driven thinking in various ways. The framework developed in the book elucidates what it is that makes concept-driven thinking an especially powerful cognitive resource. (shrink)

The mainstream philosophical approach to inference, which insists on sentence-like representations and a linguistic capability, excludes non-human animals as possible agents capable of making inferences. However, an abundance of studies show that many animal species exhibit behaviors that seem to rely on some kind of reasoning. My focus here are the transitive inference tasks, which most species solve quite successfully. These findings put pressure on the mainstream views, and still lack a convincing explanation. I introduce the concept of affective representations, (...) which satisfy the semantic and structural requirements for participating in inferences. I also argue for a broader conception of inference, and show how we can apply this view to explain the results of the transitive inference studies. Finally, I suggest it is more useful to think of flexibility of thought in terms of a continuous range, rather than a dichotomy of flexible vs. inflexible. (shrink)

The Good Regulator Theorem and the Internal Model Principle are sometimes cited as mathematical proofs that an agent needs an internal model of the world in order to have an optimal policy. However, these principles rely on a definition of “internal model" that is far too permissive, applying even to cases of systems that do not use an internal model. As a result, these principles do not provide evidence (let alone a proof) that internal models are necessary. The paper also (...) diagnoses what is missing in the GRT and IMP definitions of internal model, which is that models need to make predictions that represent variables in the target system (and these representations need to be usable by an agent so as to guide behavior). (shrink)

To explain why, in scientific problem solving, a diagram can be “worth ten thousand words,” Jill Larkin and Herbert Simon (1987) relied on a computer model: two representations can be “informationally” equivalent but differ “computationally,” just as the same data can be encoded in a computer in multiple ways, more or less suited to different kinds of processing. The roots of this proposal lay in cognitive psychology, more precisely in the “imagery debate” of the 1970s on whether there are image-like (...) mental representations. Simon (1972, 1978) hoped to solve this debate by thoroughly reducing the differences between forms of mental representations (e.g., between images and sentences) to differences in computational efficiency; to carry out this reduction, he borrowed from computer science the concepts of data type and of data structure. I argue that, in the end, his account amounted to nothing more than characterizing representations by the fast operations on them. This analysis then allows me to assess what Simon’s approach actually achieves when transported from psychology to the study of scientific representations, as in Larkin and Simon (1987): it allows comparing, not representations in and of themselves, but rather the computational roles they play in particular problem-solving processes—that is, representations together with a particular way of using them. (shrink)

Abordagens pós-cognitivistas mais recentes têm lançado duras críticas à noção de representação mental, procurando ao invés disso pensar a mente e a cognição em termos de ações corporificadas do organismo em seu meio. Embora concordemos com essa concepção, não está claro que ela implique necessariamente a rejeição de qualquer tipo de vocabulário representacional. O objetivo deste artigo é argumentar que representações podem nos comprar uma dimensão explicativa adicional não disponível por outros meios e sugerir que, ao menos em alguns casos, (...) elas podem participar da explicação de performances ou capacidades cognitivas. A noção de representação apresentada, como deixaremos claro ao longo do artigo, não viola os preceitos metodológicos mais caros à cognição 4E em geral e ao enativismo em particular, podendo, portanto, ser utilizada como uma ferramenta teórica útil em investigações sobre a natureza corporificada e situada da mente. (shrink)

Building on Christopher Peacocke’s account of analog perceptual contentand my own account of analog perceptual vehicles, I defend three claims: that theperception of magnitudes often has analog contents; that the perception of magni-tudes often has analog vehicles; and that the first claim is true in virtue of the second—that is, the analog vehicles help to ground the analog contents.

I argue that analogue mental representations possess a canonical decomposition into privileged constituents from which they compose. I motivate this suggestion, and rebut arguments to the contrary, through reflection on the approximate number system, whose representations are widely expected to have an analogue format. I then argue that arguments for the compositionality and constituent structure of these analogue representations generalize to other analogue mental representations posited in the human mind, such as those in early vision and visual imagery.

Cognitive representations are typically analysed in terms of content, vehicle and format. While current work on formats appeals to intuitions about external representations, such as words and maps, in this paper we develop a computational view of formats that does not rely on intuitions. In our view, formats are individuated by the computational profiles of vehicles, i.e., the set of constraints that fix the computational transformations vehicles can undergo. The resulting picture is strongly pluralistic, it makes space for a variety (...) of different formats, and is intimately tied to the computational approach to cognition in cognitive science and artificial intelligence. (shrink)

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that enable cognitive agents (...) to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

Perceptual constancy has played a significant role in philosophy of perception. It figures in debates about direct realism, color ontology, and the minimal conditions for perceptual representation. Despite this, there is no general consensus about what constancy is. I argue that an adequate account of constancy must distinguish it from three distinct phenomena: mere sensory stability through proximal change, perceptual categorization of a distal dimension, and stability through irrelevant proximal change. Standard characterizations of constancy fall short in one or more (...) of these respects. I develop an account of constancy that overcomes these problems. The account has two parts: an analysis of constancy mechanisms, and an analysis of the conditions under which a constancy capacity is exercised. I then employ this account to evaluate whether constancy is a necessary condition for perceptual representation, as some have conjectured. I argue that explanatory practice in perceptual psychology fails to support this view. Rather, it fits better with the weaker principle that representation requires specific tracking of a distal dimension. (shrink)

It is common to distinguish two great families of representation. Symbolic representations include logical and mathematical symbols, words, and complex linguistic expressions. Iconic representations include dials, diagrams, maps, pictures, 3-dimensional models, and depictive gestures. This essay describes and motivates a new way of distinguishing iconic from symbolic representation. It locates the difference not in the signs themselves, nor in the contents they express, but in the semantic rules by which signs are associated with contents. The two kinds of rule have (...) divergent forms, occupying opposite poles on a spectrum of naturalness. Symbolic rules are composed entirely of primitive juxtapositions of sign types with contents, while iconic rules determine contents entirely by uniform natural relations with sign types. This distinction is marked explicitly in the formal semantics of familiar sign systems, both for atomic first-order representations, like words, pixel colors, and dials, and for complex second-order representations, like sentences, diagrams, and pictures. (shrink)