Language research is currently in a state of flux. The phenomenon of language is not merely the topic of investigation in linguistics, it is examined by a multitude of scholars with different scientific backgrounds. In order to examine how these various disciplines approach language, a think-tank was founded in 2002, called DITO, Dynamisch Inter(-en trans)disciplinair onderzoek, or Dynamic Inter- (and trans)disciplinary Research. The think-tank is located at the Belgian Vrije Universiteit Brussel (Free University of Brussels). This book provides short introductory (...) articles to the language research conducted by some of the think-tank’s most important members, from within the point of view of the following 5 disciplines: philosophy of evolutionary biology, cognitive science, neuroscience, sign language research and artificial intelligence. (shrink)

This thesis proposes a perspective on language and its development by starting from two approaches. The first is the ecological-enactive approach to cognition. In opposition to the widespread idea that cognition is information-processing in the brain, the ecological-enactive approach explains human cognition in relational terms, as skilful interactions with a sociomaterial environment shaped by practices. The second is the metalinguistic approach to language, which holds that reflexive or metalinguistic language use – talking about talking – is crucial for understanding language (...) and its development. In particular, I defend two theses: 1. A child’s initial communicative behaviour can be explained in terms of attentional actions: social actions that function by directing someone else’s attention. 2. In order for the child’s communicative behaviour to be sensitive to key properties of language, such as semantic content and normativity, she needs to learn metalinguistic skills. The development of this ecological-enactive perspective on language serves two functions. First, the ecological-enactive approach started by considering basic behaviour, such as locomotion and grasping. An approach in the cognitive sciences, however, should be able to account for the full gamut of human cognition. If the perspective developed in this thesis is viable, this is a contribution to extending the ecological-enactive approach to typically human forms of cognition. Second, this perspective throws new light on philosophical problems concerning language. In the different chapters, I deal with questions concerning the nature of linguistic knowledge, explanations of communicative behaviour, and the origins of semantic content and linguistic normativity. (shrink)

The Standard View is that, other things equal, speakers’ judgments about the meanings of sentences of their language are correct. After all, we make the meanings, so how wrong can we be about them? The Standard View underlies the Elicitation Method, a typical method in semantic fieldwork, according to which we should work out the truth-conditions of a sentence by eliciting speakers’ judgments about its truth-value in different situations. I put pressure on the Standard View and therefore on the Elicitation (...) Method: for quite straightforward reasons, speakers can be radically mistaken about meanings. -/- Lewis gave a theory of convention in a game-theoretic framework. He showed how conventions could arise from repeated coordination games, and, as a special case, how meanings could arise from repeated signaling games. I put pressure on the Standard View by building on Lewis’s framework. I construct coordination games in which the players can be wrong about their conventions, and signaling games in which the players can be wrong about their messages’ meanings. The key idea is straightforward: knowing your own strategy and payoff needn’t determine what the others do, so leaves room for false beliefs about the convention and meanings. The examples are simple, explicit, new in kind, and based on an independently plausible meta-semantic story. (shrink)

Contemporary research on mindreading or theory of mind has resulted in three major findings: There is a difference in the age of passing of the elicited-response false belief task and its spontaneous–response version; 15-month-olds pass the latter while the former is passed only by 4-year-olds. Linguistic and social factors influence the development of the ability to mindread in many ways. There are cultures with folk psychologies significantly different from the Western one, and children from such cultures tend to show different (...) timetables of mindreading development. The traditional accounts of the data are nativism, rational constructivism, and two-systems theory. In this paper, we offer criticism of these traditional cognitivist accounts and explore an alternative, action-based framework. We argue that even though they all seem to explain the above empirical data, there are other, theoretical reasons why their explanations are untenable. Specifically, we discuss the problem of foundationalism and the related problem of innateness. Finally, we explore an alternative, action-based framework that avoids these theoretical limitations and offer an interpretation of the empirical data from that perspective. (shrink)

This article questions traditional approaches to the study of primate cognition. Because of a widespread assumption that cognition in non-human primates is genetically encoded, these approaches neglect how profoundly apes’ cultural rearing experiences affect test results. We describe how three advanced cognitive abilities – imitation, theory of mind and language – emerged in bonobos maturing in a Pan/Homo culture.

Despite intensive debates regarding action imitation and sentence imitation, few studies have examined their relationship. In this paper, we argue that the mechanism of action imitation is necessary and in some cases sufficient to describe sentence imitation. We first develop a framework for action imitation in which key ideas of Hurley’s shared circuits model are integrated with Wolpert et al.’s motor selection mechanism and its extensions. We then explain how this action-based framework clarifies sentence imitation without a language-specific faculty. Finally, (...) we discuss the empirical support for and philosophical significance of this perspective. (shrink)

ProbablyHomo habilisis two species not one; similarly for Pan troglodytes. Although amenable to training, in naturePan paniscusmay be a “specialized insular dwarf.” Language is uniquely human, but symbolic behavior and intelligence are widespread among animals with little respect for phylogenetic closeness toHomo sapiens.

Hominid-like morphology in habiline cranial endocasts does not necessarily imply the presence of language capacity. The cortical zone in question is not associated exclusively with language in humans, and its emergence in habilines might indicate the evolution of other cognitive functions special to humans that were preconditions for the later evolution of language.

Geary's is the traditional view of the sexes. Yet each part of his argument – the move from sex differences in spatial ability and social preferences to a sex difference in mathematical ability, the claim that the former are biologically primary, and the sociobiological explanation of these differences – requires considerable further work. The notion of a biologically secondary ability is itself problematic.

Spatial visualization as a key variable in sex-related differences in mathematical problem solving and spatial aspects of geometry is traced to the 1960s. More recent relevant data are presented. The variability debate is traced to the latter part of the nineteenth century and an explanation for it is suggested. An idea is presented for further research to clarify sex-related brain laterality differences in solving spatial problems.

Geary's model is a worthy effort, but ambiguous on important issues. It ignores differential resource allocation, although this follows directly from sexual selection via differential parental investment. Dimorphism in primary traits is arbitrarily attributed to sexual selection via intramale competition, rather than direct evolutionary pressures. Dubious predictions are made about the consequences of raising mathematics achievement.

This commentary addresses two pervasive misconceptions which emerge in Epstein et al.'s target article: (1) that study of second language acquisition (SLA) began in the mid-twentieth century; (2) that SLA has only recently become able to contribute to linguistic theory. There is abundant historical counterevidence; I argue that (1) and (2) obscure the legitimacy of Epstein et al.'s “full access” hypothesis.

Although Geary's partitioning of mathematical abilities into those that are biologically primary and secondary is an advance over most sociobiological theories of cognitive sex differences, it remains untestable and ignores the spatial nature of women's traditional work. An alternative model based on underlying cognitive processes offers other advantages.

The range of hypotheses considered is surprising in that the most arguably plausible one is not included: the invariant principles of language are available for life, while the parameters of variation cannot be set after puberty. This hypothesis provides a better explanation than the author's for both the deep similarities and the vast differences between child “language growth” and adult language acquisition.

The role of metalinguistic ability in L2 development is seriously underestimated. It may be seen both (1) as a means of initiating or boosting the flow of primary linguistic data and (2) as a generator of substitute knowledge (derived, but epistemologically distinct from domain-specific knowledge) that may compete with or compensate for perceived gaps in the learners current underlying competence. It cannot serve as a simple means of distinguishing the rival theoretical positions.

The confirmatory nature of the empirical evidence used to establish UG effects in L2 development is considered. Specific issues are also raised concerning the internal validity of Epstein et al.'s findings. It is concluded that the role of UG in adult L2 development will only be established when researchers better understand the interaction between the development of UG-constrained structural knowledge and the development of overall L2 proficiency.

Geary suggests that implicit mathematical principles exist across human cultures and transcend sex differences. Is such knowledge present in animals as well, and is it sufficient to account for performance in all species, including our own? I attempt to trace the implications of Gearys target article for comparative psychology, questioning the exclusion of “subitizing” in describing human mathematical performance, and asking whether human researchers function as cultural agents with animals, elevating their implicit knowledge to secondary domains of numerical performance.

Chomskyian claims of a genetically hard-wired and cognitively autonomous “universal grammar” are being promoted by generative linguistics as facts about language to the present day. The related doctrine of an evolutionary discontinuity in language emergence, however, is based on misconceptions about the notions of homology and preadaptation. The obvious lack of equivalence between symbolic communicative capacities in existing nonhuman primates and human language does not preclude common roots. Normal and disordered language development is strongly influenced by the genome, but there (...) is no evidence for the existence of specific genes underlying “universal grammar.” In the mature brain, stages of language processing can be distinguished and “first-pass” syntactic analyses appear to precede semantic decoding. However, this partial seriality – as well as behavioral and clinical dissociations between lexical and functional categories – can be best described, not in terms of serially activated and discrete modules, but in terms of classes of cell assemblies that differ in their distributional properties. Whereas cell assemblies involved in semantic interpretation (“content word” assemblies) are widely distributed and are generally less vulnerable to focal lesion, those involved in structural decoding (functor assemblies) are primarily distributed within the left perisylvian cortices and are selectively vulnerable to left perisylvian lesion. These distributional differences are explained in terms of the perceptuomotor components involved in the acquisition of relevant representations. The emerging “motivated” or “toposemantic” brain regional specificity can only be accommodated with “soft” and maturational versions of modularity. The failure to reproduce double dissociations in current connectionist models is due to overly simple neuroscientific assumptions, notably that of overall equipotentiality. Linguistic models should not be expected to be “implemented” in the brain, but need to be constrained by neuroscientific evidence on how biological brains function. (shrink)

We agree with Müller's epigenetic view of evolution and ontogeny and applaud his multilevel perspective. With him, we stress the importance in ontogeny of progressive specialisation rather than prewired structures. However, we argue that he slips from “speech” to “language” and that, in seeking homologies, these two levels need to be kept separate in the analysis of evolution and ontogeny.

The belief that syntax is an innate, autonomous, species-specific module is highly questionable. Syntax demonstrates the mosaic nature of evolutionary change, in that it made use of (and led to the enhancement of) numerous preexisting neurocognitive features. It is best understood as an emergent characteristic of the explosion of semantic complexity that occurred during hominid evolution.

Evidence is presented from a polyglot savant to suggest that double dissociations between linguistic and nonverbal abilities are more important than Müller's target article implies. It is also argued that the special nature of syntax makes its assimilation to other aspects of language or to nonhuman communication systems radically implausible.

Contrary to Müller's claims, and in support of modular theories, genetic factors play a substantial and significant role in language. The finding that some children with specific language impairment (SLI) have nonlinguistic impairments may reflect improper diagnosis of SLI or impairments that are secondary to linguistic impairments. Thus, such findings do not argue against the modularity thesis. The lexical/functional distinction appears to be innate and specifically linguistic and could be instantiated in either symbolic or connectionist systems.

Müller provides a valuable synthesis of neurobiological evidence on the epigenetic development of neural structures involved in language acquisition. The pluripotentiality of developing neural tissue crucially constrains linguistic/cognitive theorizing about supposedly innate neural mechanisms and contributes significantly to our understanding of experience–dependent processes involved in language acquisition. Without this understanding, any proposed explanation of language acquisition is suspect.

Segregated neural circuits that effect particular domain-specific behaviors can be differentiated from neuroanatomical structures implicated in many different aspects of behavior. The basal ganglionic components of circuits regulating nonlinguistic motor behavior, speech, and syntax all function in a similar manner. Hence, it is unlikely that special properties and evolutionary mechanisms are associated with the neural bases of human language.

The concepts of the innateness, universality, species-specificity, and autonomy of the human language capacity have had an extreme impact on the psycholinguistic debate for over thirty years. These concepts are evaluated from several neurobiological perspectives, with an emphasis on the emergence of language and its decay due to brain lesion and progressive brain disease.Evidence of perceptuomotor homologies and preadaptations for human language in nonhuman primates suggests a gradual emergence of language during hominid evolution. Regarding ontogeny, the innate component of language (...) capacity is likely to be polygenic and shared with other developmental domains. Dissociations between verbal and nonverbal development are probably rooted in the perceptuomotor specializations of neural substrates rather than the autonomy of a grammar module. Aphasiologicaldata often assumed to suggest modular linguistic subsystems can be accounted for in terms of a neurofunctional model incorporating perceptuomotor-based regional specializationsand distributivity of representations. Thus, dissociations between grammatical functors and content words are due to different conditions of acquisition and resulting differences in neural representation. Human brains are characterized by multifactorial interindividual variability, and strict universality of functional organization is biologically unrealistic.A theoretical alternative is proposed according to which (1) linguistic specialization of brain areas is due to epigenetic and probabilistic maturational events, not to genetic ”hard-wiring,” and (2) linguistic knowledge is neurally represented in distributed cell assemblies whose topography reflects the perceptuomotor modalities involved in the acquisition and use of a given item of knowledge. (shrink)

Classical pragmatism construed mind as an adaptive organ rooted in biology; biology was not one side and culture on the other. The cognitive systems underlie adaptation in response to the precarious and in the search for the stable and more secure that result in diverse forms of inquiry. Cognitive systems are rooted in action, and classical pragmatism knotted our sense of ourselves in response to nature and our cultural evolution. Cognitive systems should be demythologized away from Cartesian detachment, and towards (...) transactions with others and with nature. (shrink)

Cognitive scientists must understand not just what the mind does, but how it does what it does. In this paper, I consider four aspects of cognitive architecture: how the mind develops, the extent to which it is or is not modular, the extent to which it is or is not optimal, and the extent to which it should or should not be considered a symbol‐manipulating device (as opposed to, say, an eliminative connectionist network). In each case, I argue that insights (...) from developmental and evolutionary biology can lead to substantive and important compromises in historically vexed debates. (shrink)

An ethic of care acknowledges the centrality of the role of caring relationships in moral education. Care ethics requires a conception of ?care? that differs from the quotidian use of the word. In order to teach care ethics more effectively, this article discusses four interrelated ways that teachers? understandings of care differ from care ethics: (1) conflating the term of reference ?care? with its quotidian use; (2) overlooking the challenge of developing caring relationships; (3) tending toward monocultural understandings of care; (...) and (4) separating affect and intellect. Awareness of these conceptions of care supports teacher educators to teach care ethics in more meaningful and relevant ways. We explore stories and their dramatization as a medium to facilitate effective and in-depth teaching of care ethics. (shrink)

This target article's handling of theory and data and the range of evidence surveyed for its main contention fall short of normal BBS standards. However, the contention itself is reasonable and can be supported if one rejects the metaphor for linguistic competence and accepts that are no more than the way the brain does language.

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.

Understanding how conceptual structures inform stone tool production and use would help us resolve the issue of a pongid-hominid dichotomy in brain organisation and cognitive ability. Evidence from ideational apraxia suggests that the planning of linguistic and manipulative behaviours is not colocalized in homologous circuits. An alternative account in terms of the evolutionary expansion of the whole prefrontal-premotor area may be more plausible.

We present statistical analyses of the large‐scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small‐world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale‐free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities (...) have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high‐dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small‐world statistics and power‐law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks. (shrink)

This paper investigates the roles that abstraction and representation have in activities associated with language. Activities such as associative learning and counting require both the abilities to abstract from and accurately represent the environment. These activities are successfully carried out among vocal learners aside from humans, thereby suggesting that nonhuman animals share something like our capacity for abstraction and representation. The identification of these capabilities in other species provides additional insights into the development of language.

The project of neuroaesthetics could be interpreted as an attempt to identify a ?neural essence? of art, i.e., a set of necessary and sufficient conditions formulated in the language of neuroscience, which define the concept art . Some proposals developed within this field can be read in this way. I shall argue that such attempts do not succeed in individuating a neural definition of art. Of course, the fact that the proposals available for defining art in neural terms do not (...) work does not mean that such an enterprise is in principle doomed to failure. However, I maintain that there are good reasons to suspect that in general such a definition cannot be worked out. This does not mean, though, that the study of neural correlates in artwork production and fruition is a senseless project. Neuroaesthetics could succeed in individuating widespread mechanisms common to different forms of art coming from remote cultural contexts, which presumably rely on aspects of our mind and/or brain's functioning that are innate and biologically determined, thus contrasting the idea that artistic phenomena are entirely dependent on cultural factors. (shrink)

A general definition of consciousness that accommodates most views (Vimal, 2010b) is: “ ‘consciousness is a mental aspect of a system or a process, which is a conscious experience, a conscious function, or both depending on the context and particular bias (e.g. metaphysical assumptions)’, where experiences can be conscious experiences and/or non-conscious experiences and functions can be conscious functions and/or non-conscious functions that include qualities of objects. These are a posteriori definitions because they are based on observations and the categorization.” (...) Non-conscious experiences are equivalent to relevant proto-experiences and nonconscious functions are equivalent to related proto-functions at various levels as these terms are precursors of respective conscious subjective experiences and conscious functions aspect of consciousness. The non-conscious experiences and non-conscious functions may be considered as a part of the definition of mind and/or awareness. (shrink)

There is ample evidence that humans (and other primates) possess a knowledge instinct—a biologically driven impulse to make coherent sense of the world at the highest level possible. Yet behavioral decision-making data suggest a contrary biological drive to minimize cognitive effort by solving problems using simplifying heuristics. Individuals differ, and the same person varies over time, in the strength of the knowledge instinct. Neuroimaging studies suggest which brain regions might mediate the balance between knowledge expansion and heuristic simplification. One region (...) implicated in primary emotional experience is more activated in individuals who use primitive heuristics, whereas two areas of the cortex are more activated in individuals with a strong knowledge drive: one region implicated in detecting risk or conflict and another implicated in generating creative ideas. Knowledge maximization and effort minimization are both evolutionary adaptations, and both are valuable in different contexts. Effort minimization helps us make minor and routine decisions efficiently, whereas knowledge maximization connects us to the beautiful, to the sublime, and to our highest aspirations. We relate the opposition between the knowledge instinct and heuristics to the biblical story of the fall, and argue that the causal scientific worldview is mathematically equivalent to teleological arguments from final causes. Elements of a scientific program are formulated to address unresolved issues. (shrink)

The distinction between rules and similarity is central to our understanding of much of cognitive psychology. Two aspects of existing research have motivated the present work. First, in different cognitive psychology areas we typically see different conceptions of rules and similarity; for example, rules in language appear to be of a different kind compared to rules in categorization. Second, rules processes are typically modeled as separate from similarity ones; for example, in a learning experiment, rules and similarity influences would be (...) described on the basis of separate models. In the present article, I assume that the rules versus similarity distinction can be understood in the same way in learning, reasoning, categorization, and language, and that a unified model for rules and similarity is appropriate. A rules process is considered to be a similarity one where only a single or a small subset of an object's properties are involved. Hence, rules and overall similarity operations are extremes in a single continuum of similarity operations. It is argued that this viewpoint allows adequate coverage of theory and empirical findings in learning, reasoning, categorization, and language, and also a reassessment of the objectives in research on rules versus similarity. Key Words: categorization; cognitive explanation; language; learning; reasoning; rules; similarity. (shrink)

According to classical theories of language and cognition, human cognition is characterized by strong universal commonalities built around notions such as object, space, agency, number, time, and event (Clark, 1973; Miller & Johnson‐Laird, 1976). Languages select from this prelinguistic conceptual repertoire the concepts that become encoded in their lexical and grammatical stock. Language acquisition, on this view, is a mapping process in which the learner needs to figure out which sounds in the language spoken in the environment correspond to which (...) concepts from the ones already in the mind (Fodor, 1975; Gleitman, 1990; Pinker, 1994). (shrink)

Over the past few decades, reasoning and rationality have been the focus of enormous interdisciplinary attention, attracting interest from philosophers, psychologists, economists, statisticians and anthropologists, among others. The widespread interest in the topic reflects the central status of reasoning in human affairs. But it also suggests that there are many different though related projects and tasks which need to be addressed if we are to attain a comprehensive understanding of reasoning.

In the years leading up to the Second World War the ethologists Konrad Lorenz and Nikolaas Tinbergen, created the tradition of rigorous, Darwinian research on animal behavior that developed into modern behavioral ecology. At first glance, research on specifically human behavior seems to exhibit greater discontinuity that research on animal behavior in general. The 'human ethology' of the 1960s appears to have been replaced in the early 1970s by a new approach called ‘sociobiology’. Sociobiology in its turn appears to have (...) been replaced by an approach calling itself Evolutionary Psychology. Closer examination, however, reveals a great deal of continuity between these schools. At present, whilst Evolutionary Psychology is the most visible form of evolutionary psychology, empirical and theoretical research on the evolution of mind and behavior is marked by a diversity of ideas and approaches and it is far from clear which direction(s) the field will take in future. (shrink)

Semantic indeterminacy is the ether of philosophy of language. It fills the interstices of our intentions and pervades accounts of presupposition, tense, fiction, translation, and especially, vagueness. Yet semantic indeterminacy is as impossible as ectoplasm. Indeed, more so! The demonstration need only borrow a few assumptions used elsewhere in widely accepted impossibility results. Since an impossibility is never a necessary condition for anything actual, semantic indeterminacy must be superfluous. Language is no more explained by semantic indeterminacy than calculus is explained (...) by (pre-Robinsonian) infinitesimals. (shrink)

This paper defends two initial claims. First, it argues that essentially the same cognitive resources are shared by adult creative thinking and problem-solving, on the one hand, and by childhood pretend play, on the other—namely, capacities to generate and to reason with suppositions (or imagined possibilities). Second, it argues that the evolutionary function of childhood pretence is to practice and enhance adult forms of creativity. The paper goes on to show how these proposals can provide a smooth and evolutionarily-plausible explanation (...) of the gap between the first appearance of our species in Southern Africa some 100,000 years ago, and the ‘creative explosion’ of cultural, technological and artistic change which took place within dispersed human populations some 60,000 years later. The intention of the paper is to sketch a proposal which might serve as a guide for future interdisciplinary research. 1 Introduction 2 Creativity and Pretence 3 Language and Creativity 4 Language and Cultural Accretions 5 Language, Play and Model-Building 6 Creativity, Protean Cognition and Sexual Selection 7 The Evolution of Pretence 8 The Emergence of Supposing 9 Pretence and Motivation 10 Two Objections 11 Conclusion. (shrink)

I do not think that the world or the sciences would ever have suggested to me any philosophical problems. What has suggested philosophical problems to me is things which other philosophers have said about the world or the sciences. (G.E. Moore, 1942, p. 14).

Stephen Pinker sets out over a dozen arguments in The language instinct (Morrow, New York, 1994) for his widely shared view that natural language is inadequate as a medium for thought. Thus he argues we must suppose that the primary medium of thought and inference is an innate propositional representation system, mentalese. I reply to the various arguments and so defend the view that some thought essentially involves natural language. I argue mentalese doesn't solve any of the problems Pinker cites (...) for the view that we think in natural language. So I don't think I think the way he thinks I think. (shrink)

The present paper examines the relationship between explicit and implicit memory and ultimate attainment in the native language. Two groups of native speakers of English with different levels of academic attainment (i.e., high vs. low) took part in three language tasks which assessed grammar, vocabulary and collocational knowledge, as well as phonological short-term memory (assessed using a forward digit-span task), explicit associative memory (assessed using a paired-associates task) and implicit memory (assessed using a deterministic serial reaction time task). Results revealed (...) strong relationships between phonological short-term memory and explicit associative memory on the one hand and the three language tasks on the other hand, and no relation between linguistic performance and implicit memory. Taken together, these results cast doubts on the common assumption that L1 grammar learning depends almost entirely on implicit memory and align with the claims of usage-based models of language acquisition that grammatical and lexical knowledge depend on the same cognitive mechanisms. (shrink)