Manolo Martínez

I introduce a novel framework for theorizing about representations in cognitive science, which relies on two theses. First, representations are, primarily, signals for information transmission, not as a side effect of other functions these signals may have, but for its own sake. Second, these signals aim at efficiently trading-off three cognitive budgets: rate (or transmission and storage costs), distortion (or faithfulness of the transmitted information), and computational complexity of coders. The way to provide empirical evidence that some entity is a representation---and hence that it is involved in information transmission for the sake of information transmission, as per the first thesis---is to show that it present adaptations for efficient information transmission---as per the second thesis. The kinds of properties that cognitive scientists routinely associate with paradigmatic instances of representations are generated by adaptations for rate-distortion-complexity efficiency.

Cognitive scientists often try to provide explanations of how a human, animal, or artificial cognitive system manages to perform a certain cognitive task. For this, they often find it useful to postulate the existence of entities, localized somewhere within that cognitive system, that stand for, or are about others, often localized outside of it. These are the entities that are called mental representations. Explanations of cognitive function try to work out how computations over these representations may result in the successful performance of a certain task. Mental representations are a central, if not uncontested, theoretical posit in cognitive science.

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.

Categorization behavior can be fruitfully analyzed in terms of the trade‐off between as high as possible faithfulness in the transmission of information about samples of the classes to be categorized, and as low as possible transmission costs for that same information. The kinds of categorization behaviors we associate with conceptual atoms, prototypes, and exemplars emerge naturally as a result of this trade‐off, in the presence of certain natural constraints on the probabilistic distribution of samples, and the ways in which we measure faithfulness. Beyond the general structure of categorization in these circumstances, the same information‐centered perspective can shed light on other, more concrete properties of human categorization performance, such as the results of certain prominent experiments on supervised categorization.

Some mental states have valence—they are pleasant or unpleasant. According to imperativism, valence depends on imperative content, while evaluativism tells us that it depends on evaluative content. We argue that if one considers valence’s informational profile, it becomes evident that imperativism is superior to evaluativism. More precisely, we show that if one applies the best available metasemantics to the role played by (un)pleasant mental states in our cognitive economy, then these states turn out to have imperative rather than evaluative content, since: (i) they are much more informative about behaviour than they are about the world; and (ii) they occupy a stage in the information-processing chain that is closer to behaviour production than it is to the uptake of sensory information. This is our metasemantic argument for imperativism.

When reasoning about dependence relations, philosophers often rely on gradualist assumptions, according to which abrupt changes in a phenomenon of interest can result only from abrupt changes in the low-level phenomena on which it depends. These assumptions, while strictly correct if the dependence relation in question can be expressed by continuous dynamical equations, should be handled with care: very often the descriptively relevant property of a dynamical system connecting high- and low-level phenomena is not its instantaneous behaviour but its stable fixed points (those in the vicinity of which it spends most of the time, after comparatively short transitory periods), and stable fixed points can change abruptly as a result of infinitesimal changes of the low-level phenomenon. We illustrate this potential gradualist trap by showing that Chalmers’ fading qualia argument falls into it.

Dysmenorrhea, or menstrual pain, is regularly suffered by 45 to 95% of menstruating women. Despite its prevalence, and despite the philosophical importance of pain as a general phenomenon, dysmenorrhea has been all but completely overlooked in contemporary analytic philosophy of mind. This paper aims at rectifying this situation. We single out three properties of what is often considered the paradigmatic case of painful experience, what we call injury-centered pains, and argue that dysmenorrhea does not have any of them, and hence that it does not neatly conform to the injury-centered model of pain. This calls into question the centrality of the injury-centered model, and suggests novel research avenues within theoretical debates on affectivity.

Intentionalism is the view that perceptual phenomenology depends on perceptual content. The aim of this paper is to make explicit an ambiguity in usual formulations of intentionalism, and to argue in favor of one way to disambiguate it. It concerns whether perceptual phenomenology depends on the content of one and only one representation (often construed as being identical to a certain perceptual experience), or instead depends on a collection of many different representations throughout the perceptual system. We argue in favor of the latter option. Intentionalism so conceived can make better sense of contemporary neuroscience of perception, and is better equipped to confront several influential objections to traditional intentionalism.

I respond to an objection recently formulated by Barlassina and Hayward against first-order imperativism about pain, according to which it cannot account for the self-directed motivational force of pain. I am going to agree with them: it cannot. This is because pain does not have self-directed motivational force. I will argue that the alternative view—that pain is about dealing with extramental, bodily threats, not about dealing with itself—makes better sense of introspection, and of empirical research on pain avoidance. Also, a naturalistic theory of body-involving commands falls straightforwardly out of our most prominent naturalistic metasemantic accounts, while the token-reflexive contents that would underlie self-directed motivation are more problematic.

We explore the contribution made by oscillatory, synchronous neural activity to representation in the brain. We closely examine six prominent examples of brain function in which neural oscillations play a central role, and identify two levels of involvement that these oscillations take in the emergence of representations: enabling (when oscillations help to establish a communication channel between sender and receiver, or are causally involved in triggering a representation) and properly representational (when oscillations are a constitutive part of the representation). We show that even an idealized informational sender–receiver account of representation makes the representational status of oscillations a non-trivial matter, which depends on rather minute empirical details.

While scientific inquiry crucially relies on the extraction of patterns from data, we still have a far from perfect understanding of the metaphysics of patterns—and, in particular, of what makes a pattern real. In this paper we derive a criterion of real-patternhood from the notion of conditional Kolmogorov complexity. The resulting account belongs to the philosophical tradition, initiated by Dennett :27–51, 1991), that links real-patternhood to data compressibility, but is simpler and formally more perspicuous than other proposals previously defended in the literature. It also successfully enforces a non-redundancy principle, suggested by Ladyman and Ross, that aims to exclude from real-patternhood those patterns that can be ignored without loss of information about the target dataset, and which their own account fails to enforce.

We introduce the virtual special issue on content in signalling systems. The issue explores the uses and limits of ideas from evolutionary game theory and information theory for explaining the content of biological signals. We explain the basic idea of the Lewis-Skyrms sender-receiver framework, and we highlight three key themes of the issue: (i) the challenge of accounting for deception, misinformation and false content, (ii) the relevance of partial or total common interest to the evolution of meaningful signals, and (iii) how the sender-receiver framework relates to teleosemantics.

An important objection to signaling approaches to representation is that, if signaling behavior is driven by the maximization of usefulness, then signals will typically carry much more information about agent-dependent usefulness than about objective features of the world. This sort of considerations are sometimes taken to provide support for an anti-realist stance on representation itself. The author examines the game-theoretic version of this skeptical line of argument developed by Donald Hoffman and his colleagues. It is shown that their argument only works under an extremely impoverished picture of the informational connections that hold between agent and world. In particular, it only works for cue-driven agents, in Kim Sterelny’s sense. In cases in which the agents’ understanding of what is useful results from combining pieces of information that reach them in different ways, and that complement one another, maximizing usefulness involves construing first a picture of agent-independent, objective matters of fact.

I develop a rate-distortion analysis of signaling games with imperfect common interest. Sender and receiver should be seen as jointly managing a communication channel with the objective of minimizing two independent distortion measures. I use this analysis to identify a problem with 'functional' theories of deception, and in particular Brian Skyrms's: there are perfectly cooperative, non-exploitative instances of channel management that come out as manipulative and deceptive according to those theories.

Information is widely perceived as essential to the study of communication and representation; still, theorists working on these topics often take themselves not to be centrally concerned with "Shannon information", as it is often put, but with some other, sometimes called "semantic" or "nonnatural",kind of information. This perception is wrong. Shannon's theory of information is the only one we need. I intend to make good on this last assertion by canvassing a fully (Shannon) informational answer to the metasemantic question of what makes something a representation, for a certain important family of cases. This answer and the accompanying theory, which represents a significant departure from the broadly Dretskean philosophical mainstream, will show how a number of threads in the literature on naturalistic metasemantics, aimed at describing the purportedly non-informational ingredients in representation, actually belong in the same coherent, purely information-theoretic picture.

According to the homeostatic property cluster family of accounts, one of the main conditions for groups of properties to count as natural is that these properties be frequently co-instantiated. I argue that this condition is, in fact, not necessary for natural-kindness. Furthermore, even when it is present, the focus on co-occurrence distorts the role natural kinds play in science. Co-occurrence corresponds to what information theorists call redundancy: observing the presence of some of the properties in a frequently co-occurrent cluster makes observations of other members of the cluster comparatively uninformative. Yet, scientific practice often, and increasingly often, singles out as natural groups of properties that are not redundant, but synergic: instantiations of properties in synergic clusters are not necessarily informative about instantiations of other properties in the cluster; rather, it is their joint instantiation that plays the explanatory role for which the natural kind is recruited.

We present a dynamic model of the evolution of communication in a Lewis signaling game while systematically varying the degree of common interest between sender and receiver. We show that the level of common interest between sender and receiver is strongly predictive of the amount of information transferred between them. We also discuss a set of rare but interesting cases in which common interest is almost entirely absent, yet substantial information transfer persists in a *cheap talk* regime, and offer a diagnosis of how this may arise.

In the first part of the paper, I present a framework for the description and evaluation of teleosemantic theories of intentionality, and use it to argue that several different objections to these theories (the various indeterminacy and adequacy problems) are, in a certain precise sense, manifestations of the same underlying issue. I then use the framework to show that Millikan's biosemantics, her own recent declarations to the contrary notwithtanding, presents indeterminacy. In the second part, I develop a novel teleosemantic proposal which makes progress in the treatment of this family of problems. I describe a procedure to derive a (unique) homeostatic property cluster [HPC] from facts having to do with the properties that a certain indicator relied on, in the events leading to its fixation in a certain population. This HPC is the one that should figure in the content attribution to the indicator in question

There has been much discussion of so-called teleosemantic approaches to the naturalization of content. Such discussion, though, has been largely confined to simple, innate mental states with contents such as ?There is a fly here.? Even assuming we can solve the issues that crop up at this stage, an account of the content of human mental states will not get too far without an account of productivity: the ability to entertain indefinitely many thoughts. The best-known teleosemantic theory, Millikan's biosemantics, offers an account of productivity in thought. This paper raises a basic worry about this account: that the use of mapping functions in the theory is unacceptable from a naturalistic point of view

Representationalist theories of phenomenal consciousness have problems in accounting for pain, for at least two reasons. First of all, the negative affective phenomenology of pain (its painfulness) does not seem to be representational at all. Secondly, pain experiences are not transparent to introspection in the way perceptions are. This is reflected, e.g. in the fact that we do not acknowledge pain hallucinations. In this paper, I defend that representationalism has the potential to overcome these objections. Defenders of representationalism have tried to analyse every kind of phenomenal character in terms of indicative contents. But there is another possibility: Affective phenomenology, in fact, depends on imperative representational content. This provides a satisfactory solution to the aforementioned difficulties