The structure of the brain and the nature of evolution suggest that, despite its uniqueness, language likely depends on brain systems that also subserve other functions. The declarative / procedural model claims that the mental lexicon of memorized word- specific knowledge depends on the largely temporal-lobe substrates of declarative memory, which underlies the storage and use of knowledge of facts and events. The mental grammar, which subserves the rule-governed combination of lexical items into complex representations, depends on a distinct neural (...) system. This system, which is composed of a network of specific frontal, basal - ganglia, parietal and cerebellar structures, underlies procedural memory, which supports the learning and execution of motor and cognitive skills, especially those involving sequences. The functions of the two brain systems, together with their anatomical, physiological and biochemical substrates, lead to specific claims and predictions regarding their roles in language. These predictions are compared with those of other neurocognitive models of language. Empirical evidence is presented from neuroimaging studies of normal language processing, and from developmental and adult- onset disorders. It is argued that this evidence supports the DP model. It is additionally proposed that “ language ” disorders, such as specific language impairment and non-fluent and fluent aphasia, may be profitably viewed as impairments primarily affecting one or the other brain system. Overall, the data suggest a new neurocognitive framework for the study of lexicon and grammar. (shrink)

Hierarchical cognitive mechanisms underlie sophisticated behaviors, including language, music, mathematics, tool-use, and theory of mind. The origins of hierarchical logical reasoning have long been, and continue to be, an important puzzle for cognitive science. Prior approaches to hierarchical logical reasoning have often failed to distinguish between observable hierarchical behavior and unobservable hierarchical cognitive mechanisms. Furthermore, past research has been largely methodologically restricted to passive recognition tasks as compared to active generation tasks that are stronger tests of hierarchical rules. We argue (...) that it is necessary to implement learning studies in humans, non-human species, and machines that are analyzed with formal models comparing the contribution of different cognitive mechanisms implicated in the generation of hierarchical behavior. These studies are critical to advance theories in the domains of recursion, rule-learning, symbolic reasoning, and the potentially uniquely human cognitive origins of hierarchical logical reasoning. (shrink)

The capacity to generate recursive sequences is a marker of rich, algorithmic cognition, and perhaps unique to humans. Yet, the precise processes driving recursive sequence generation remain mysterious. We investigated three potential cognitive mechanisms underlying recursive pattern processing: hierarchical reasoning, ordinal reasoning, and associative chaining. We developed a Bayesian mixture model to quantify the extent to which these three cognitive mechanisms contribute to adult humans’ performance in a sequence generation task. We further tested whether recursive rule discovery depends upon relational (...) information, either perceptual or semantic. We found that the presence of relational information facilitates hierarchical reasoning and drives the generation of recursive sequences across novel depths of center embedding. In the absence of relational information, the use of ordinal reasoning predominates. Our results suggest that hierarchical reasoning is an important cognitive mechanism underlying recursive pattern processing and can be deployed across embedding depths and relational domains. (shrink)

The study of signed languages has inspired scientific' speculation regarding foundations of human language. Relationships between the acquisition of sign language in apes and man are discounted on logical grounds. Evidence from the differential hreakdown of sign language and manual pantomime places limits on the degree of overlap between language and nonlanguage motor systems. Evidence from functional magnetic resonance imaging reveals neural areas of convergence and divergence underlying signed and spoken languages.

The precise manner in which language serves its communicative function suggests that natural selection, rather than exaptation or reappropriation, played the major role in its evolution. Natural selection is more readily invoked, I suggest, if it is assumed that language originated as a system of manual gestures, and later switched to an oral mode.

I enlarge on the theme that the brain mechanisms required for languageand other aspects of the human mind evolved through selective changes in the regulatory genes governing growth. Extension of the period of postnatal growth increases the role of the environment in structuring the brain, and spatiotemporal programming (heterochrony) ofgrowth might explain hierarchical representation, hemispheric specialization, and perhaps sex differences.

In the generative tradition, the language faculty has been shrinking—perhaps to include only the mechanism of recursion. This paper argues that even this view of the language faculty is too expansive. We first argue that a language faculty is difficult to reconcile with evolutionary considerations. We then focus on recursion as a detailed case study, arguing that our ability to process recursive structure does not rely on recursion as a property of the grammar, but instead emerge gradually by piggybacking on (...) domain-general sequence learning abilities. Evidence from genetics, comparative work on non-human primates, and cognitive neuroscience suggests that humans have evolved complex sequence learning skills, which were subsequently pressed into service to accommodate language. Constraints on sequence learning therefore have played an important role in shaping the cultural evolution of linguistic structure, including our limited abilities for processing recursive structure. Finally, we re-evaluate some of the key considerations that have often been taken to require the postulation of a language faculty. (shrink)

It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biological endowment, which encodes universal, but communicatively arbitrary, principles of language structure (a Universal Grammar or UG). How might such a UG have evolved? We argue that UG could not have arisen either by biological adaptation or non-adaptationist genetic processes, resulting in a logical problem of language evolution. Specifically, as the processes of language change (...) are much more rapid than processes of genetic change, language constitutes a both over time and across different human populations, and, hence, cannot provide a stable environment to which language genes could have adapted. We conclude that a biologically determined UG is not evolutionarily viable. Instead, the original motivation for UG arises because language has been shaped to fit the human brain, rather than vice versa. Following Darwin, we view language itself as a complex and interdependent which evolves under selectional pressures from human learning and processing mechanisms. That is, languages themselves are shaped by severe selectional pressure from each generation of language users and learners. This suggests that apparently arbitrary aspects of linguistic structure may result from general learning and processing biases deriving from the structure of thought processes, perceptuo-motor factors, cognitive limitations, and pragmatics. (shrink)

Although we all learn differently, we all need to be able to engage certain fundamental reasoning skills if we are to manoeuvre successfully through life—however we define success. Peirce's philosophy provides us with a framework for helping students develop and hone the ability for making deliberate and well‐considered choices. For, embedded within Peirce's complete body of work is a design for thinking that provides a sturdy foundation for the development of three important learning capabilities. These capabilities are 1) the ability (...) to identify, compare, and contrast qualities, 2) the ability to perform analyses, and 3) the ability to interpret the meaning of signs. Although these capabilities may seem like the sort of skills that only older and academically inclined students can master, even young children and the intellectually challenged can learn to use them as well. Once teachers learn to develop their own intellectual potential by expanding these capabilities within themselves, they will be able to begin bringing about the development of these capabilities in their students. Once identified, developed, and applied to the mastery of educational skills and subject matter, these three fundamental learning capabilities , can form the foundation of a common‐sense approach to educational reform. Peirce asserts that good reasoning must be informed by ethical considerations, which in turn has been informed by the highest of aesthetic impulses. From this, we can extrapolate the importance that an educational model based upon Peirce's philosophy must place upon aesthetic and ethical considerations, as well as logical ones. Once fully understood, the philosophy of education embedded within Peirce's epistemology can revolutionize educational practices at all levels of learning. (shrink)

Although we all learn differently, we all need to be able to engage certain fundamental reasoning skills if we are to manoeuvre successfully through life—however we define success. Peirce's philosophy provides us with a framework for helping students (and ourselves) develop and hone the ability for making deliberate and well‐considered choices. For, embedded within Peirce's complete body of work is a design for thinking that provides a sturdy foundation for the development of three important learning capabilities. These capabilities are 1) (...) the ability to identify, compare, and contrast qualities, 2) the ability to perform analyses, and 3) the ability to interpret the meaning of signs. Although these capabilities may seem like the sort of skills that only older and academically inclined students can master, even young children and the intellectually challenged can learn to use them as well. Once teachers learn to develop their own intellectual potential by expanding these capabilities within themselves, they will be able to begin bringing about the development of these capabilities in their students. Once identified, developed, and applied to the mastery of educational skills and subject matter, these three fundamental learning capabilities (qualification, analysis, and interpretation), can form the foundation of a common‐sense approach to educational reform. Peirce asserts that good reasoning must be informed by ethical considerations, which in turn has been informed by the highest of aesthetic impulses. From this, we can extrapolate the importance that an educational model based upon Peirce's philosophy must place upon aesthetic and ethical considerations, as well as logical ones. Once fully understood, the philosophy of education embedded within Peirce's epistemology can revolutionize educational practices at all levels of learning. (shrink)

Cultural evolutionists typically emphasize the informational aspect of social transmission, that of the learning, stabilizing, and transformation of mental representations along cultural lineages. Social transmission also depends on the production of public displays such as utterances, behaviors, and artifacts, as these displays are what social learners learn from. However, the generative processes involved in the production of public displays are usually abstracted away in both theoretical assessments and formal models. The aim of this paper is to complement the informational view (...) with a generative dimension, emphasizing how the production of public displays both enable and constrain the production of modular cultural recipes through the process of innovation by recombination. In order to avoid a circular understanding of cultural recombination and cultural modularity, we need to take seriously the nature and structure of the generative processes involved in the maintenance of cultural traditions. A preliminary analysis of what recombination and modularity consist of is offered. It is shown how the study of recombination and modularity depends on a finer understanding of the generative processes involved in the production phase of social transmission. Finally, it is argued that the recombination process depends on the inventive production of an interface between modules and the complex recipes in which they figure, and that such interfaces are the direct result of the generative processes involved in the production of these recipes. The analysis is supported by the case study of the transition from the Oldowan to the Early Acheulean flake detachment techniques. (shrink)

The cumulative open-endedness of human cultures represents a major break with the social traditions of nonhuman species. As traditions are altered and the modifications retained along the cultural lineage, human populations are capable of producing complex traits that no individual could have figured out on its own. For cultures to produce increasingly complex traditions, improvements and modifications must be kept for the next generations to build upon. High-fidelity transmission would thus act as a ratchet, retaining modifications and allowing the historical (...) buildup of complex traditions. Mechanisms acting against slippage are important, of course, but cultures also need to move forward for the ratchet to retain anything important. In this article, I argue that studies of modification-generating processes and the many ways they shape cumulative culture have been overlooked. Key to a better understanding of cultural modification processes is taking seriously that cultural traditions consist of complex, hierarchically structured recipes. Taking such structures seriously and assessing the different ways they can vary in cultural design space, a novel picture for the onset of cumulative cultural evolution emerges. I argue that a possible impediment for cumulative culture in nonhuman animals may in fact reside not so much in the fidelity of their social transmission but rather in the constraints, internal and external, on their capacity to modify complex, hierarchically structured cultural recipes. (shrink)

Wilkins & Wakefield assign importance to motor systems but skip from anatomy to cognitive structure with little attention to behavior. Organisms, no matter how sophisticated, that do not behave in accord with what they know will fall by the evolutionary wayside. Facts about behavior can supplement the authors' theory, whose hierarchical structures can accommodate an evolutionary scenario in which a million years or more of functionally varied utterances mainly limited to single words is followed by an explosion of linguistic diversity (...) with the development in the last 50,000 years or so of syntactically organized multiple word utterances. (shrink)

Primate foraging can be construed as a set of interconnected problems that include finding food, selecting efficient travel routes, anticipating the positions of moving prey, and manipulating, and occasionally, extracting food items using tools. The evidence reviewed in this paper strongly suggests that both monkeys and apes use three types of representation (i.e., static, dynamic, and relational) to solve various problems. Static representations involve recalling certain features of the environment, dynamic representations involve imagining changes in the trajectories of moving objects, (...) and relational representations involve encoding the properties of objects in relation to other objects. Contrary to previous claims, no clear differences were found between the representational skills of monkeys and apes. Current evidence also suggests that primates may be better at representing general compared to specific problem features. Finally, we have characterized the domains of space and objects as complementary and indicated future lines of research in these domains. (shrink)

To explain social learning without invoking the cognitively complex concept of imitation, many learning mechanisms have been proposed. Borrowing an idea used routinely in cognitive psychology, we argue that most of these alternatives can be subsumed under a single process, priming, in which input increases the activation of stored internal representations. Imitation itself has generally been seen as a This has diverted much research towards the all-or-none question of whether an animal can imitate, with disappointingly inconclusive results. In the great (...) apes, however, voluntary, learned behaviour is organized hierarchically. This means that imitation can occur at various levels, of which we single out two clearly distinct ones: the a rather detailed and linear specification of sequential acts, and the a broader description of subroutine structure and the hierarchical layout of a behavioural Program level imitation is a high-level, constructive mechanism, adapted for the efficient learning of complex skills and thus not evident in the simple manipulations used to test for imitation in the laboratory. As examples, we describe the food-preparation techniques of wild mountain gorillas and the imitative behaviour of orangutans undergoing to the wild. Representing and manipulating relations between objects seems to be one basic building block in their hierarchical programs. There is evidence that great apes suffer from a stricter capacity limit than humans in the hierarchical depth of planning. We re-interpret some chimpanzee behaviour previously described as and suggest that all great apes may be able to imitate at the program level. Action level imitation is seldom observed in great ape skill learning, and may have a largely social role, even in humans. (shrink)

Müller argues that double dissociations do not imply underlying modularity of the cognitive system, citing neural networks as examples of fully distributed systems that can give rise to double dissociations. We challenge this claim, noting that suchdouble dissociations typically do not “scale-up,” and that even some singledissociations can be difficult to account for in a distributed system.

Preadaptation for language is an unnecessary assumption because intermediate stages of linguistic ability are possible and adaptive. Language could have evolved through gradual selection from structures exhibiting few features associated with modern structures. Without physical evidence pertaining to language ability in prehabilis hominids, it remains possible that selective pressures for language use preceded and necessitated modern neurolinguistic structures.

Different disciplines converge to trace language evolution from motor skills. The human ability to use tools has been advocated as a fundamental step toward the emergence of linguistic processes in the brain. Neuropsychological and neuroimaging research has established that linguistic functions and tool-use are mediated by partially overlapping brain networks. Yet, scholars still theoretically debate whether the relationship between tool-use and language is contingent or functionally relevant, since empirical evidence is critically missing. Here, we measured both linguistic production and tool-use (...) abilities in the same participants, as well as manual and linguistic motor skills. A path analysis ruling out unspecific contributions from manual or linguistic motor skills, showed that motor proficiency using a tool lawfully predicts differences in individual linguistic production. In addition, more complex tool-use reveals stronger association between linguistic production and tool mastery. These findings establish the existence of shared cognitive processes between tool-use and language. (shrink)

Amidst the progress being made in the various (sub-)disciplines of the behavioural and brain sciences a somewhat neglected subject is the problem of how everything fits into one world and, derivatively, how the relation between different levels of discourse should be understood and to what extent different levels, domains, approaches, or disciplines are autonomous or dependent. In this paper I critically review the most recent proposals to specify the nature of interdiscourse relations, focusing on the concept of supervenience. Ideally supervenience (...) is a relation between different discourses which has all the advantages of reduction, but without its disadvantages. I apply the more abstract considerations to two concrete cases: schizophrenia and colour. Usually an interlevel or interdiscourse relation is seen as asymmetrical: the overlaying discourse depends on the underlying discourse (and not vice versa), where the out- or un-spoken assumption is that the ultimate underlying discourse is physical. Instead I argue that scientific categories referred to in interdiscourse relations are, ultimately, dependent on common sense categories and common sense normative criteria. It is the manifest categories and common sense ideas about what is reasonable and what is right that determine the relevant categorisations at the deeper, underlying levels. I suggest that the implications of this are not merely methodological or epistemological. (shrink)

Despite some sound basic assumptions, Wilkins & Wakefield portray a Homo habilis too linguistically sophisticated to fit in with the subsequent fossil record and thereby lose a reasoned explanation for human innovativeness. They err, too, in accepting a single-level model of conceptual structure and in deriving initial linguistic units from calls, a process far more dubious than the derivation of home-sign from naive gesture.

Müller misconstrues autonomy to mean strict locality of brain function, something quite different from the functional autonomy that linguists claim. Similarly, he misperceives the interaction of learned and innate components hypothesized in current generative models. Evidence from sign languages, Creole languages, and neurological studies of rare forms of aphasia also argues against his conclusions.

We discuss the discovery of technologies involving knotted netting, such as textiles, basketry, and cordage, in the Upper Paleolithic. This evidence, in our view, suggests a new way of connecting toolmaking and syntactic structure in human evolution, because these technologies already exhibit an which we take to constitute the key transition to human cognition.

Ecological developmental biology considers the phenotype as actively produced through an environmentally informed process of individual development, rather than predetermined by the genotype. Accordingly, the genotype is viewed as one among many interactants that contribute formative elements; it is understood to do so no differently from the way other organism-internal and environmental resources do. Although the EcoDevo approach is evidently particularly apt to inform approaches to human development, which mostly takes shape in rich cultural environments, it is remarkable that, at (...) least within some highly influential circles of the linguistic sciences, the study of many distinctive human cognitive traits including language remains strongly anchored to a preformationist stance. This article brings an EcoDevo approach to the biologically focused study of language to argue that an aspect of language design commonly assumed to be “blueprinted,” namely, the lexicon-syntax interface, may instead be explained as a plastic effect of ongoing developmental processes in the mind of the child, in which designated aspects of the environment fulfill a key constructive role. (shrink)