This dissertation may be divided into two parts. The first part is about the Extended Gricean Model of information transmission. This model, introduced here, is meant to better explain how humans communicate and understand each other. It has been developed to apply to cases that were left unexplained by the two main models of communication found in contemporary philosophy and linguistics, i.e. the Gricean (pragmatic) model and the code (semantic) model. In particular, I show that these latter two models cannot (...) apply to cases where one communicate through spontaneous emotional expressions and how the Extended Gricean Model of information transmission does. The second part of the dissertation is about what emotional signs mean, in various senses of the term ‘mean'. I review existing theories of meaning and see how they apply to emotional signs, i.e. signs which give us information about the affective state of the sign producer. (shrink)

It has been argued that neural data are an especially sensitive kind of personal information that could be used to undermine the control we should have over access to our mental states, and therefore need a stronger legal protection than other kinds of personal data. The Morningside Group, a global consortium of interdisciplinary experts advocating for the ethical use of neurotechnology, suggests achieving this by treating legally ND as a body organ. Although the proposal is currently shaping ND-related policies, it (...) is not clear what its conceptual and legal basis is. Treating legally something as something else requires some kind of analogical reasoning, which is not provided by the authors of the proposal. In this paper, I will try to fill this gap by addressing ontological issues related to neurocognitive processes. The substantial differences between ND and body organs or organic tissue cast doubt on the idea that the former should be covered by bodily integrity. Crucially, ND are not constituted by organic material. Nevertheless, I argue that the ND of a subject s are analogous to neurocognitive properties of her brain. I claim that s’ ND are a ‘medium independent’ property that can be characterized as natural semantic personal information about her brain and that s’ brain not only instantiates this property but also has an exclusive ontological relationship with it: This information constitutes a domain that is unique to her neurocognitive architecture. (shrink)

As the content of propositional attitudes, propositions are usually taken to help explain the behavior of rational agents. However, a closer look at signaling games suggests otherwise: rational agents often acquire partial beliefs, and many of their signals are ambiguous. Signaling games also suggest that it is rational for agents to mix their behavior in response to partial beliefs and ambiguous signals. But as I show in this paper, propositions cannot help explain the mixing behavior of rational agents: to explain (...) mixing behavior, we need a probabilistic notion of content. I also show that a probabilistic notion of content renders propositions explanatorily idle in the case of unambiguous signals and full beliefs as well. My suggestion is thus that we should abandon propositions in explanations of rational behavior and adopt instead a probabilistic notion of content. The notion of probabilistic content ultimately provides a simpler framework for explanations of rational behavior than the notion of propositional content. (shrink)

The historical debate on representation in cognitive science and neuroscience construes representations as theoretical posits and discusses the degree to which we have reason to posit them. We reject the premise of that debate. We argue that experimental neuroscientists routinely observe and manipulate neural representations in their laboratory. Therefore, neural representations are as real as neurons, action potentials, or any other well-established entities in our ontology.

In this essay we discuss recent attempts to analyse the notion of representation, as it is employed in cognitive science, in purely informational terms. In particular, we argue that recent informational theories cannot accommodate the existence of metarepresentations. Since metarepresentations play a central role in the explanation of many cognitive abilities, this is a serious shortcoming of these proposals.

This paper looks at the nature of normal-proper functions and the role they play in theories of representational content. More specifically: I lay down two desiderata for a theory which tries to capture what's distinctive of normal-proper functions and discuss two prominent theories which claim to satisfy them. I discuss the advantages of having normal-proper functions ground a theory of representational content. And, I look at both orthodox and heterodox versions of such theories.

An important strand in philosophy of science takes scientific explanation to consist in the conveyance of some kind of information. Here I argue that this idea is also implicit in some core arguments of mechanists, some of whom are proponents of an ontic conception of explanation that might be thought inconsistent with it. However, informational accounts seem to conflict with some lay and scientific commonsense judgments and a central goal of the theory of explanation, because information is relative to the (...) background knowledge of agents. Sometimes we make lay judgments about whether a model is an explanation simpliciter, not just an explanation relative to some particular agent. And as philosophers of explanation, we would like a philosophical account to tell us when a model is an explanation simpliciter, not just when a model is an explanation relative to some particular agent. Thus, even if one’s account of explanation is not concerned with explanation qua communicative or speech act, the account’s reliance on the concept of information generates a prima facie conflict between the claims that 1) explanation is the conveyance of information, 2) information is relative to the background knowledge of an agent, and 3) some models are explanations not relative to the background knowledge of any particular agent. I sketch a solution to this puzzle by distinguishing informationally what I call “explanation simpliciter” from what I call “explanation-to,” relativizing the latter to an individual’s background knowledge and the former to what I call “total scientific background knowledge”. (shrink)

Humans alone acquire language. According to one influen- tial school of thought, we do this because we possess a uniquely human ability to act with and attribute “Gricean” communicative intentions. A challenge for this view is that attributing communicative intent seems to require cognitive abilities that infant language learners lack. After considering a range of responses to this challenge, I argue that infant language development can be explained, because Gricean communication is cognitively less demanding than many suppose. However, a consequence (...) of this is that abilities for Gricean communication are unlikely to be uniquely human. (shrink)

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. (shrink)

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.

Hutto and Myin claim that teleosemantics cannot account for mental content. In their view, teleosemantics accounts for a poorer kind of relation between cognitive states and the world but lacks the theoretical tools to account for a richer kind. We show that their objection imposes two criteria on theories of content: a truth-evaluable criterion and an intensionality criterion. For the objection to go through, teleosemantics must be subject to both these criteria and must fail to satisfy them. We argue that (...) teleosemantics meets the truth-evaluable criterion and is not required to meet the intensionality criterion. We conclude that Hutto and Myin’s objection fails. (shrink)

This paper aims to establish several interconnected points. First, a particular interpretation of the mathematical definition of information, known as the causal interpretation, is supported largely by misunderstandings of the engineering context from which it was taken. A better interpretation, which makes the definition and quantification of information relative to the function of its user, is outlined. The first half of the paper is given over to introducing communication theory and its competing interpretations. The second half explores three consequences of (...) the main thesis. First, a popular claim that the quantification of information in a signal is irrelevant for the meaning of that signal is exposed as fallacious. Second, a popular distinction between causal and semantic information is shown to be misleading, and I argue it should be replaced with a related distinction between natural and intentional signs. Finally, I argue that recent empirical work from microbiology and cognitive science drawing on resources of mathematical communication theory is best interpreted by the functional account. Overall, a functional approach is shown to be both theoretically and empirically well-supported. (shrink)

Exactly what makes an interaction between two organisms a case of communication is contentious. Historically, debate has taken place between definitions of communication invoking information transmission vs definitions invoking causal influence. More recently, there has been some convergence on a hybrid definition: invoking causal influence mediated via the transmission of information. After proposing an understanding of what it means to say that a receiver is causally influenced by the transmission of information, I argue that an information-mediated influence definition overextends to (...) include most, indeed maybe all, co-adapted interactions. This is because the transmission of correlational information is actually a feature of most, if not all, co-adapted interactions. I end by considering whether adding an arbitrariness criterion to an information-mediated influence definition helps. After giving an account of what arbitrariness amounts to, I argue that it swings things too far in the opposite direction: we go from a definition of communication that is too liberal to one that is too restrictive. This is because many signal kinds are not arbitrary. It turns out to be extremely difficult to capture what makes communication unique. (shrink)

Sceptics of informational terminology argue that by attributing content to signals, we fail to address nonhuman animal communication on its own terms. Primarily, we ignore that communication is sender driven: i.e. driven by the intrinsic physical properties of signals, themselves the result of selection pressures acting on signals to influence receivers in ways beneficial for senders. In contrast, information proponents argue that this ignores the degree to which communication is, in fact, receiver driven. The latter argue that an exclusive focus (...) on the intrinsic mechanical properties of signals cannot explain why receivers respond as they do. This is because receivers are not prisoners of sender influence. They possess response flexibility, and so we can only explain why receivers respond to signals as they do by positing that receivers ‘derive information’ from signals. I argue that, while basically true, this response flexibility can take one of two forms depending on the causal-explanatory role of information in understanding the response of the receiver: diachronic, on the one hand; and synchronic, on the other. In species with diachronic response flexibility only, information is derived by receivers from signals in a minimal sense. In such cases, information is an ultimate explanatory construct: one underpinned by historical facts at the population level. Alternatively, in species with synchronic response flexibility, information is derived by receivers from signals in a richer sense. Here, information is a proximate explanatory construct: one underpinned by cognitive-mechanistic facts at the level of the individual organism. Without recognising the different ways information can be derived from signals, and the different causal-explanatory roles information can play in understanding alternate kinds of receiver flexibility, proponents of information leave themselves open to the charge of anthropomorphising some signalling systems. (shrink)

The lore is that standard information theory provides an analysis of information quantity, but not of information content. I argue this lore is incorrect, and there is an adequate informational semantics latent in standard theory. The roots of this notion of content can be traced to the secret parallel development of an information theory equivalent to Shannon’s by Turing at Bletchley Park, and it has been suggested independently in recent work by Skyrms and Bullinaria and Levy. This paper explicitly articulates (...) the semantics latent in information theory and defends it as an adequate theory of information content, or natural meaning. I argue that this theory suggests a new perspective on the classic misrepresentation worry for correlation-based semantics. (shrink)

Adverbialism is the view that to have a conscious perceptual experience is to be consciously experiencing in a certain way, and that this way is not to be understood in relational or representational terms. We might compare what it is for a conscious being to be experiencing in a certain way with what it is for a string to be vibrating in a certain way. This paper makes a new case for adverbialism by appealing to the fact that we can (...) pick out ways of experiencing by treating them as information-bearing signals. In both presenting and defending the view, it will be crucial that information is not the same as representational content, but can still concern objects and the properties of those objects. The resulting information-theoretic adverbialism can answer or deflect the most influential objections to adverbialism. (shrink)

ABSTRACT Adverbialism is the view that to have a conscious perceptual experience is to be consciously experiencing in a certain way, and that this way is not to be understood in relational or representational terms. We might compare what it is for a conscious being to be experiencing in a certain way with what it is for a string to be vibrating in a certain way. This paper makes a new case for adverbialism by appealing to the fact that we (...) can pick out ways of experiencing by treating them as information-bearing signals. In both presenting and defending the view, it will be crucial that information is not the same as representational content, but can still concern objects and the properties of those objects. The resulting information-theoretic adverbialism can answer or deflect the most influential objections to adverbialism. (shrink)

Justin D’Ambrosio and I have recently and independently defended perceptual adverbialism from Frank Jackson’s well-known Many-Properties Problem. Both of us make use of a similar strategy: characterizing ways of perceiving by using the language of objects, and not just of properties. But while D’Ambrosio’s view does indeed validate the inferences that Jackson’s challenge highlights, it does so at the price of validating additional, invalid inferences, such as the inference from the claim that a small child hallucinates a bottle of aspirin (...) to the claim that the child hallucinates a bottle of acetylsalicylic acid. My view avoids this. The crucial difference is that D’Ambrosio appeals to success conditions, which are extensional, while I appeal to informational content, which is not. (shrink)

A central goal of philosophy of perception is to uncover the nature of sensory capacities. Ideally, we would like an account that specifies what conditions need to be met in order for an organism to count as having the capacity to sense or perceive its environment. And on the assumption that sensory states are the kinds of things that can be accurate or inaccurate, a further goal of philosophy of perception is to identify the accuracy conditions for sensory states. In (...) this paper I recommend a novel approach to these core issues, one that draws heavily on game-theoretic treatments of signaling in nature. A benefit of the approach is that it helps us to understand why biologists attribute sensory powers to such a diverse range of organisms, including plants, fungi, and algae. (shrink)

The claims that “The brain processes information” or “Cognition is information processing” are accepted as truisms in cognitive science. However, it is unclear how to evaluate such claims absent a specification of “information” as it is used by neurocognitive theories. The aim of this article is, thus, to identify the key features of information that information-based neurocognitive theories posit. A systematic identification of these features can reveal the explanatory role that information plays in specific neurocognitive theories, and can, therefore, be (...) both theoretically and practically important. These features can be used, in turn, as desiderata against which candidate theories of information may be evaluated. After discussing some characteristics of explanation in cognitive science and their implications for “information”, three notions are briefly introduced: natural, sensory, and endogenous information. Subsequently, six desiderata are identified and defended based on cognitive scientific practices. The global workspace theory of consciousness is then used as a specific case study that arguably posits either five or six corresponding features of information. (shrink)

The idea that the brain is an information processing system raises some challenging questions about whether information exists independently of brains. Answering these questions is relevant for clarifying the theoretical foundations of the sciences of mind and brain, but also for appropriately interpreting and evaluating the evidence about how brains—and other biological systems—work. This article claims that (1) informational descriptions in the sciences of mind and brain can be genuinely explanatory, despite assuming a mind-dependent notion of information; and (2) that (...) either Popperian objectivity or response-dependence in normal receivers is sufficient for grounding the explanatory role that information often plays in these sciences. Hierarchical predictive processing, which has become a central theoretical framework for neurocognitive research, is used as a case study for supporting these two claims. (shrink)

There are many different notions of information in logic, epistemology, psychology, biology and cognitive science, which are employed differently in each discipline, often with little overlap. Since our interest here is in biological processes and organisms, we develop a taxonomy of functional information that extends the standard cue/signal distinction. Three general, main claims are advanced here. This new taxonomy can be useful in describing learning and communication. It avoids some problems that the natural/non-natural information distinction faces. Functional information is​ ​produced (...) through exploration and stabilisation processes. (shrink)

What is the content of a mental state? This question poses the problem of intentionality: to explain how mental states can be about other things, where being about them is understood as representing them. A framework that integrates predictive coding and signaling systems theories of cognitive processing offers a new perspective on intentionality. On this view, at least some mental states are evaluations, which differ in function, operation, and normativity from representations. A complete naturalistic theory of intentionality must account for (...) both types of intentional state. (shrink)

The Modern Synthesis has received criticism for its purported gene-centrism. That criticism relies on a concept of the gene as a unit of instructional information. In this paper I discuss information concepts and endorse one, developed from Floridi, that sees information as a functional relationship between data and context. I use this concept to inspect developmental criticisms of the Modern Synthesis and argue that the instructional gene arose as an idealization practice when evolutionary biologists made comment on development. However, a (...) closer inspection of key claims shows that at least some associated with the Modern Synthesis were in fact adopting the data led definition I favour and made clear arguments for the role of developmental processes beyond genetic input. There was no instructional gene. (shrink)

We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order to explain (...) cognition. To a large extent, practicing cognitive neuroscientists have already accepted this shift, but philosophical theory has not fully acknowledged and appreciated its significance. As a result, the explanatory framework underlying cognitive neuroscience has remained largely implicit. We explicate this framework and demonstrate its contrast with previous approaches. (shrink)

Biological and cognitive sciences rely heavily on the idea of information transmitted between natural events or processes. This paper critically assesses some current philosophical views of natural information and defends a view of natural information as Nomic and Factive. Dretske offered a Factive view of information, and recent work on the topic has tended to reject this aspect of his view in favor of a non-Factive, probabilistic approach. This paper argues that the reasoning behind this move to non-Factivity is flawed (...) and mixes up different problems with Dretske’s original view. I show that one of these problems—strictness—has to do with Nomicity rather than Factivity. The other problem—reference class ambiguity—is not solvable just in terms of a theory of natural information. On the Dretske-inspired view I defend, natural information is Factive and Nomic but is insufficient to determine the cognitive or biological content of a natural process. In sum I present an examination what natural information is and what role it can play in our understanding of living and thinking things. (shrink)

Intentionality is a central feature of our understanding of the world. We daily attribute intentional states (like beliefs, desires or perceptual states) to explain the behavior of other agents, and many theories appeal to them to understand more complex notions. Nonetheless, intentional states are puzzling entities. This article explains what intentionality is and why it is so important and problematic at the same time. Secondly, it examines various naturalistic theories, which seek to show that intentionality is compatible with a scientific (...) worldview. Finally, given that all extant proposals face significant difficulties, it explores the available options in case no naturalistic theory can succeed. (shrink)

Neander presents a causal version of informational teleosemantics, where a non-conceptual state R has the content F if and only if R has the function of being caused by F. In contrast, probabilistic versions of informational teleosemantics claim that R has the content F if and only if R has the function of covarying with F. These two theories ascribe different contents to representational states since PT allows R to have the content F when R non-causally covaries with F. First, (...) I argue that CT is incapable of serving one of the main explanatory aims of a theory of content, which is to fully explain behavior. Second, I defend PT against the charge of indeterminacy, arguing that when PT ascribes multiple contents, these contents serve distinct explanatory aims. (shrink)