Embodied agents use bodily actions and environmental interventions to make the world a better place to think in. Where does language fit into this emerging picture of the embodied, ecologically efficient agent? One useful way to approach this question is to consider language itself as a cognition-enhancing animal-built structure. To take this perspective is to view language as a kind of self-constructed cognitive niche: a persisting though never stationary material scaffolding whose critical role in promoting thought and reason remains surprisingly (...) ill-understood. It is the very materiality of this linguistic scaffolding, I suggest, that is responsible for some key benefits. By materializing thought in words, we create structures that are themselves proper objects of perception, manipulation, and thought. (shrink)

This response defends the view that human metacognition results from us turning our mindreading capacities upon ourselves, and that our access to our own propositional attitudes is through interpretation rather than introspection. Relevant evidence is considered, including that deriving from studies of childhood development and other animal species. Also discussed are data suggesting dissociations between metacognitive and mindreading capacities, especially in autism and schizophrenia.

The goal of this paper is to explore forms of metacognition that have rarely been discussed in the extensive psychological and philosophical literatures on the topic. These would comprise explicit instances of meta-representation of some set of mental states or processes in oneself, but without those representations being embedded in anything remotely resembling a theory of mind, and independent of deployment of any sort of concept-like representation of the mental. Following a critique of some extant suggestions made by Nicholas Shea, (...) the paper argues that appraisals of the value of cognitive effort involve the most plausible instances of this kind of metacognition. (shrink)

Currently, there is widespread skepticism that higher cognitive processes, given their apparent flexibility and globality, could be carried out by specialized computational devices, or modules. This skepticism is largely due to Fodor’s influential definition of modularity. From the rather flexible catalogue of possible modular features that Fodor originally proposed has emerged a widely held notion of modules as rigid, informationally encapsulated devices that accept highly local inputs and whose opera- tions are insensitive to context. It is a mistake, however, to (...) equate such features with computational devices in general and therefore to assume, as Fodor does, that higher cognitive processes must be non-computational. Of the many possible non-Fodorean architectures, one is explored here that offers possible solutions to computational problems faced by conventional modular systems: an ‘enzymatic’ architecture. Enzymes are computational devices that use lock-and-key template matching to iden- tify relevant information (substrates), which is then operated upon and returned to a common pool for possible processing by other devices. Highly specialized enzymes can operate together in a common pool of information that is not pre-sorted by information type. Moreover, enzymes can use molecular ‘tags’ to regulate the operations of other devices and to change how particular substrates are construed and operated upon, allowing for highly interactive, context-specific processing. This model shows how specialized, modular processing can occur in an open system, and suggests that skepti- cism about modularity may largely be due to failure to consider alternatives to the standard model. (shrink)

Currently, there is widespread skepticism that higher cognitive processes, given their apparent flexibility and globality, could be carried out by specialized computational devices, or modules. This skepticism is largely due to Fodor's influential definition of modularity. From the rather flexible catalogue of possible modular features that Fodor originally proposed has emerged a widely held notion of modules as rigid, informationally encapsulated devices that accept highly local inputs and whose operations are insensitive to context. It is a mistake, however, to equate (...) such features with computational devices in general and therefore to assume, as Fodor does, that higher cognitive processes must be non‐computational. Of the many possible non‐Fodorean architectures, one is explored here that offers possible solutions to computational problems faced by conventional modular systems: an ‘enzymatic’ architecture. Enzymes are computational devices that use lock‐and‐key template matching to identify relevant information (substrates), which is then operated upon and returned to a common pool for possible processing by other devices. Highly specialized enzymes can operate together in a common pool of information that is not pre‐sorted by information type. Moreover, enzymes can use molecular ‘tags’ to regulate the operations of other devices and to change how particular substrates are construed and operated upon, allowing for highly interactive, context‐specific processing. This model shows how specialized, modular processing can occur in an open system, and suggests that skepticism about modularity may largely be due to failure to consider alternatives to the standard model. (shrink)

Albert and De Ruiter provide an introduction to the Conversation Analytic approach to ‘repair’: the ways in which people detect and deal with troubles in speaking, hearing and understanding in conversation. They explain the basic turn‐taking structures involved, provide examples, explain recent developments in the field and highlight some important points of contact and contrast with work in the Cognitive Sciences.

There is growing acceptance among language evolution researchers that an increase in our ancestors’ theory of mind capacities was critical to the origins of language. However, little attention has been paid to the question of how those capacities were in fact upgraded. This article develops a novel hypothesis, grounded in contemporary cognitive neuroscience, on which our theory of mind capacities improved as a result of an increase in our System-2 thinking capacities, in turn based in an increase in our working (...) memory capacities. I contrast this hypothesis with what would appear to be the default position among language evolution researchers, namely, that our theory of mind became more powerful as a result of genetic change to a domain-specific mindreading system which we share with other great apes. While the latter hypothesis is not implausible, it arguably enjoys less empirical support at present than does the alternative hypothesis I develop. (shrink)

Parts of the genome of a single individual can have conflicting interests, depending on which parent they were inherited from. One mechanism by which these conflicts are expressed in some taxa, including mammals, is genomic imprinting, which modulates the level of expression of some genes depending on their parent of origin. Imprinted gene expression is known to affect body size, brain size, and the relative development of various tissues in mammals. A high fraction of imprinted gene expression occurs in the (...) brain. Biologists including Hamilton, Trivers and Haig have proposed that this may explain some intrapersonal conflict in humans. This speculation amounts to an inference from conflict within the genome to conflict within the brain or mind. This is a provocative proposal, which deserves serious attention. In this paper I assess aspects of Haig’s version of the proposal. I argue, first, that the notion that intragenomic conflict predicts personal inconsistency should be rejected. Second, while it is unlikely that it credibly predicts sub-personal agents representing conflicting genetic interests, it is plausible that it predicts that the division of cognitive labour could be exploited to turn sub-systems into proxies for conflicting interests. (shrink)

Concepts are our tools for thinking. They enable us to engage in explicit reasoning about things in the world. Like physical tools, they can be more or less good, given the ways we use them – more or less dependable for categorisation, learning, induction, action-planning, and so on. Do concept users appreciate, explicitly or implicitly, that concepts vary in dependability? Do they feel that some concepts are in some way defective? If so, we metacognize our concepts. One example that has (...) been studied is a person’s judgement about how well they have learnt a new category. There are many other forms that concept-metacognition could take. This paper offers a preliminary taxonomy of different forms of metacognition directed at concepts. It suggests that concept-metacognition may affect the way one concept from a range of candidates is selected for use, and the way a concept is relied on in reasoning. Concept-metacognition may also play a pivotal role in the social process of constructing concepts, in replacing the old and constructing the new tools for thinking. (shrink)

Against the prior view that primate communication is based only on signal decoding, comparative evidence suggests that primates are able, no less than humans, to intentionally perform or understand impulsive or habitual communicational actions with a structured evaluative nonconceptual content. These signals convey an affordance-sensing that immediately motivates conspecifics to act. Although humans have access to a strategic form of propositional communication adapted to teaching and persuasion, they share with nonhuman primates the capacity to communicate in impulsive or habitual ways. (...) They are also similarly able to monitor fluency, informativeness and relevance of messages or signals through nonconceptual cues. (shrink)

Given disagreement about the architecture of the mind, the nature of self‐knowledge, and its epistemology, the question of how to understand the function and the scope of metacognition – the control of one’s cognition – is still a matter of hot debate. A dominant view, the self‐ascriptive view, has been that metacognition necessarily requires representing one’s own mental states as mental states, and, therefore, necessarily involves an ability to read one’s mind. The main claims of this view are articulated, and (...) the difficulties that they raise are discussed. An alternative view of metacognition, the ‘self‐evaluative view’, is then examined. It is argued that this view provides an account of metacognition that is both empirically and conceptually more adequate than the self‐ascriptive model. Particular attention is given to the problem of transferring self‐evaluative judgments to the case of others. (shrink)

Metacognition is often defined as thinking about thinking. It is exemplified in all the activities through which one tries to predict and evaluate one’s own mental dispositions, states and properties for their cognitive adequacy. This article discusses the view that metacognition has metarepresentational structure. Properties such as causal contiguity, epistemic transparency and procedural reflexivity are present in metacognition but missing in metarepresentation, while open-ended recursivity and inferential promiscuity only occur in metarepresentation. It is concluded that, although metarepresentations can redescribe metacognitive (...) contents, metacognition and metarepresentation are functionally distinct. (shrink)

Against the view that metacognition is a capacity that parallels theory of mind, it is argued that metacognition need involve neither metarepresentation nor semantic forms of reflexivity, but only process-reflexivity, through which a task-specific system monitors its own internal feedback by using quantitative cues. Metacognitive activities, however, may be redescribed in metarepresentational, mentalistic terms in species endowed with a theory of mind.

This article addresses the question of whether early Pleistocene hominins are plausibly viewed as having possessed a protolanguage, that is, a communication system exemplifying some but not all of the distinctive features of fully modern human language. I argue that the answer is “yes,” mounting evidence from the early Pleistocene “lithics niche.” More specifically, I first describe a cognitive platform that I think would have been sufficient, given appropriate socio-ecological conditions, for the creation and retention of a protolanguage. Then, using (...) archaeological evidence pertaining to hominin lithic behavior from the early Pleistocene, I attempt to make plausible the idea that each of these cognitive abilities were in fact in place by this point in hominin evolutionary history and also that the requisite socio-ecological conditions were satisfied. (shrink)

According to one currently influential line of thinking, the evolution of ostensive communication was a prerequisite for the evolution of human language. In this article, I distinguish between a strong and a weak version of this view and offer a sustained argument against the former. More specifically, the strong version of this view would have it that ostensive communication was a prerequisite not just for the evolution of fully modern language but for any language-like system of communication. I argue that (...) this version is too strong: I show how some distinctive and important features of language may well have been assembled prior to the evolution of ostensive communication. Put another way, I argue that a protolanguage before ostensive communication scenario is a real possibility. I conclude by briefly arguing that such an evolutionary scenario coheres better with archaeological evidence from the early Pleistocene as well as evidence from developmental psychology pertaining to the nature of our mind reading abilities. (shrink)

This article examines some recent work by Berwick and Chomsky as presented in their book Why Only Us? Language and Evolution. As I understand them, Berwick and Chomsky’s overarching purpose is to explain how human language could have arisen in so short an evolutionary period. After articulating their strategy, I argue that they fall far short of reaching this goal. A co-evolutionary scenario linking the mechanisms that realize the language system, both with one other and with cognitive mechanisms capable of (...) exploiting linguistic expressions, is surely unavoidable. And yet this is precisely what Berwick and Chomsky in effect rule out. (shrink)

Modeling work by Brian Skyrms and others in recent years has transformed the theoretical role of David Lewis's 1969 model of signaling. The latter can now be understood as a minimal model of communication in all its forms. In this article, we explain how the Lewis model has been generalized, and consider how it and its variants contribute to ongoing debates in several areas. Specifically, we consider connections between the models and four topics: The role of common interest in communication, (...) signaling within the organism, meaning, and the evolution of human communication and language. (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)

In The Architecture of the Mind, Carruthers proposes a new and detailed explanation for how human cognition could be both flexible and massively modular. The combinatorial nature of our linguistic faculty and our capacity to engage in inner speech are the cornerstones of this new explanation. Despite the ingenuity of this proposal, I argue that Carruthers has failed to explain how a massively modular mind could display the flexibility that is characteristic of human thought.

Sometimes it is thought that there are serious differences between theories of discourse that turn on the role of cognition in the theory. This is largely a misconception: for example, with its emphasis on participants’ own understandings, its principles of recipient design and projection, Conversation Analysis is hardly anti-cognitive. If there are genuine disagreements they rather concern a preference for ‘lean’ versus ‘rich’ metalanguages and different methodologies. The possession of a multi-levelled model, separating out what the individual brings to interaction (...) from the emergent properties of interaction, would make it easier to resolve some of these issues. Meanwhile, these squabbles on the margins distract us from a much more central and more interesting issue: is there a very special cognition-for-interaction, which underlies and underpins all language and discourse? Prime facie evidence suggests that there is, and different approaches can contribute to our understanding of it. (shrink)

Talk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the (...) universal characteristics of language are, once we honestly confront the diversity offered to us by the world's 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition.Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels. Recognizing the true extent of structural diversity in human language opens up exciting new research directions for cognitive scientists, offering thousands of different natural experiments given by different languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills. (shrink)