It is widely held that children’s linguistic input underdetermines the correct grammar, and that language learning must therefore be guided by innate linguistic constraints. Here, we show that a Bayesian model can learn a standard poverty‐of‐stimulus example, anaphoric one, from realistic input by relying on indirect evidence, without a linguistic constraint assumed to be necessary. Our demonstration does, however, assume other linguistic knowledge; thus, we reduce the problem of learning anaphoric one to that of learning this other knowledge. We discuss (...) whether this other knowledge may itself be acquired without linguistic constraints. (shrink)

Robert Brandom has it in mind to run a ‘pragmatist’ theory of content. That is, he wants to reconstruct notions like saying such and such or believing such and such in terms of a distinctive kind of “knowing how or being able to do something”.

A survey of the main approaches in a mind study -oriented part of Artificial Intelligence is made focusing on controversial issues and extreme hypotheses. Various meanings of terms: "intelligence" and "artificial intelligence" are discussed. Limitations for constructing intelligent systems resulting from the lack of formalized models of cognitive activity are shown. The approaches surveyed are then recapitulated in the light of these limitations.

This paper defends an orthodox model of the linguistic intuitions which form a central source of evidence for generative grammars. According to this orthodox conception, linguistic intuitions are the upshot of a system of grammatical competence as it interacts with performance systems for perceiving and articulating language. So conceived, probing speakers’ linguistic intuitions allows us to investigate the competence–performance distinction empirically, so as to determine the grammars that speakers are competent in. This model has been attacked by Michael Devitt in (...) his recent book and a series of papers. In its place, Devitt advances a model of linguistic intuitions whereby they are speakers’ theory-laden judgements about the properties of languages. In this paper, I try to make clear the rationale behind the orthodox model and the inadequacies of Devitt's model. (shrink)

The aim of this paper is to help refine the definition of humans as “linguistic animals” in light of a comparative approach on nonhuman animals’ cognitive systems. As Uexküll & Kriszat (1934/1992) have theorized, the epistemic access to each species-specific environment (Umwelt) is driven by different biocognitive processes. Within this conceptual framework, I identify the salient cognitive process that distinguishes each species typical perception of the world as the faculty of language meant in the following operational definition: the ability to (...) connect different elements according to structural rules. In order to draw some conclusions about humans’ specific faculty of language, I review different empirical studies on nonhuman animals’ ability to recognize formal patterns of tokens. I suggest that what differentiates human language from other animals’ cognitive systems is the ability to categorize the units of a pattern, going beyond its perceptual aspects. In fact, humans are the only species known to be able to combine semantic units within a network of combinatorial logical relationships (Deacon 1997) that can be linked to the state of affairs in the external world (Wittgenstein 1922). I assume that this ability is the core cognitive process underlying a) the capacity to speak (or to reason) in verbal propositions and b) the general human faculty of language expressed, for instance, in the ability to draw visual conceptual maps or to compute mathematical expressions. In light of these considerations, I conclude providing some research questions that could lead to a more detailed comparative exploration of the faculty of language. (shrink)

A leading theoretical framework for naturalistic explanation of mind holds that we explain the mind by positing progressively "stupider" capacities ("homunculi") until the mind is "discharged" by means of capacities that are not intelligent at all. The so-called homuncular fallacy involves violating this procedure by positing the same capacities at subpersonal levels. I argue that the homuncular fallacy is not a fallacy, and that modern-day homunculi are idle posits. I propose an alternative view of what naturalism requires that reflects how (...) the cognitive sciences are actually integrating mind and matter. (shrink)

Recent studies demonstrated that 15-month-olds selectively respond to others’ beliefs. According to an epistemic mentalist interpretation, this attests that 15-month-olds possess a rudimentary capacity to attribute beliefs. Weaker interpretations suggest instead that infants are only sensitive to others’ beliefs because they can detect their proximal correlates. These two opposed interpretations often appeal to principled objections. In contrast, I argue that the dispute can be brought back to its empirical basis if we clearly explain what it means having ‘tacit’ or ‘implicit’ (...) knowledge of a theory. I introduce a definition of tacit knowledge based on the notion of structural similarity, and I discuss some crucial experiments that may be conducted to assess the validity of the epistemic mentalist interpretation. (shrink)

It is often assumed that two linguistic agents can come to understand one another in part because they use the same words. That is, many philosophical theories of communication posit an intersubjective same-word relation. However, giving an account of this relation is complicated by what I call “The Variation Problem”—a problem resulting from the fact that the same word can be pronounced differently. In this paper, I first argue that previous models of the same-word relation, including Kaplanian and Chomskyan models, (...) fail to escape The Variation Problem. I then propose a new model on which the same-word relation is grounded in a particular kind of social relation that holds between the speaker and the audience. On this model, using the same word requires not that agents make the same sounds, but that they coordinate their internal linguistic representations. (shrink)

We argue that creative ideas are potentially valuable improbable constructions. We arrive at this formulation of creativity after considering several problems that arise for the theories that suggest that creativity is novelty, originality, or usefulness. Our theory avoids these problems. But since we also derive our theory of creativity from the scientific commitments of a more general theory of cognitive development, a theory called rational constructivism, our theory is unique insofar as it explains creativity in both adults and children through (...) reference to a set of computational mechanisms that have been posited on the basis of independently plausible experimental research. (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)

In this commentary, I examine the experiment reported by Epstein et al. in section 5. What I show here is that the experiment is so poorly executed that little, if anything, can be concluded from it regarding the role of UG in L2 acquisition.

Mathematicians and physical scientists depend heavily on the formal symbolism of mathematics in order to express and develop their theories. For this and other reasons the last hundred years has seen a growing interest in the nature of formal language and the way it expresses meaning; particularly the objective, shared aspect of meaning as opposed to subjective, personal aspects. This dichotomy suggests the question: do the objective philosophical theories of meaning offer concepts which can be applied in psychological theories of (...) meaning? In recent years cognitive scientists such as Chomsky [1980], Fodor [1981] and MacNamara [1982] have used philosophical approaches to the meaning of formal language expressions as the basis for their psychological theories. Following this lead it seems appropriate to review some of the main treatments of meaning with a view to their transferability. (shrink)

The target article advanced the null, unified and widely misinterpreted generative hypothesis regarding second language (L2) acquisition. Postulating that UG (Universal Grammar) constrains L2 knowledge growth does not entail identical developmental trajectories for L2 and first language (LI) acquisition; nor does it preclude a role for the L1. In embracing this hypothesis, we maintain a distinction between competence and performance. Those who conflate the two repeat fundamental and by no means unprecedented misconstruals of the generative enterprise, and more specifically, of (...) the empirical content of the null hypothesis regarding L2 linguistic knowledge growth. We hope to have identified certain common goals, the adoption of which might constitute a firm foundation for continued productive interdisciplinary development of contemporary theoretical and experimental L2 acquisition research. (shrink)

To what extent, if any, does Universal Grammar (UG) constrain second language (L2) acquisition? This is not only an empirical question, but one which is currently investigable. In this context, L2 acquisition is emerging as an important new domain of psycholinguistic research. Three logical possibilities have been articulated regarding the role of UG in L2 acquisition: The first is the hypothesis that claims that no aspect of UG is available to the L2 learner. The second is the hypothesis that claims (...) that only LI instantiated principles and LI instantiated parameter-values of UG are available to the learner. The third, called the hypothesis, asserts that UG in its entirety constrains L2 acquisition. (shrink)

Chomsky's current Biolinguistic methodology is shown to comport with what might be called 'established' aspects of biological method, thereby raising, in the biolinguistic domain, issues concerning biological autonomy from the physical sciences. At least current irreducibility of biology, including biolinguistics, stems in at least some cases from the very nature of what I will claim is physiological, or inter-organ/inter-component, macro-levels of explanation which play a new and central explanatory role in Chomsky's inter-componential explanation of certain properties of the syntactic component (...) of Universal Grammar. Under this new mode of explanation, certain physiological functions of cognitive mental organs are hypothesized, in an attempt to explain aspects of their internal anatomy. Thus, the internal anatomy of the syntactic component exhibits features that enable it to effectively interface with other 'adjacent' organs, such as the Conceptual-Intensional system and the Sensory- Motor system. These two interface systems take as their inputs the assembled outputs of the syntactic component and, as a result of the very syntactic structure imposed by the syntax are then able to assign their sound and meaning interpretations. If this is an accurate characterization, Chomsky's long-standing postulation of mental organs, and I will argue, the advancement of new hypotheses concerning physiological inter-organ functions, has attained in current biolinguistic Minimalist method a significant unification with foundational aspects of physiological explanation in other areas of biology. (shrink)

I introduce "nomic-role nonreductionism" as an alternative to traditional causal-role functionalism in the philosophy of mind. Rather than identify mental properties by a theory that describes their intra-level causal roles via types of inputs, internal states, and outputs, I suggest that one identify mental properties by a more comprehensive theory that also describes inter-level realization roles via types of lower-level engineering, internal mental states, and still higher-level states generated by them. I defend this position on grounds that mental properties should (...) be understood by our best scientific theories, which at present include informatioin about mental engineering. I further defend this claim by a "parity of reasons" argument. Causal-role functionalists are justified to include sensory stimuli in their theory of mind as opposed to, say, the remote causes of sensory stimuli because the former but not the latter are items of direct mental production. But ditto for the system's physical realizations. They too directly produce mental states, only not by "causing" them but by "realizing" them. Engineering realizations and their input triggering conditions work in tandem. In addition, I tell a related but more general metaphysical story about property identity, namely, that the traditional causal theory should be replaced by a more comprehensive nomic theory that individuates properties by their intra-level causal powers as well as their inter-level realization capacities. (shrink)

In recent years, the psychology of reasoning has been undergoing a paradigm shift, with general Bayesian, probabilistic approaches replacing the older, much more restricted binary logic paradigm. At the same time, dual processing theories have been gaining influence. We argue that these developments should be integrated and moreover that such integration is already underway. The new reasoning paradigm should be grounded in dual processing for its algorithmic level of analysis just as it uses Bayesian theory for its computational level of (...) analysis. Moreover, we propose that, within the new paradigm, these levels of analysis reflect on each other. Bayesianism suggests a specific theoretical understanding of dual processing. Just as importantly, the duality in processing carries over to duality in function; although both types of processes compute degrees of belief, they generate different functions. (shrink)

Although for many years a sharp distinction has been made in language research between rules and words—with primary interest on rules—this distinction is now blurred in many theories. If anything, the focus of attention has shifted in recent years in favor of words. Results from many different areas of language research suggest that the lexicon is representationally rich, that it is the source of much productive behavior, and that lexically specific information plays a critical and early role in the interpretation (...) of grammatical structure. But how much information can or should be placed in the lexicon? This is the question I address here. I review a set of studies whose results indicate that event knowledge plays a significant role in early stages of sentence processing and structural analysis. This poses a conundrum for traditional views of the lexicon. Either the lexicon must be expanded to include factors that do not plausibly seem to belong there; or else virtually all information about word meaning is removed, leaving the lexicon impoverished. I suggest a third alternative, which provides a way to account for lexical knowledge without a mental lexicon. (shrink)

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...) the internal representations which develop thus reflect task demands in the context of prior internal states. A set of simulations is reported which range from relatively simple problems (temporal version of XOR) to discovering syntactic/semantic features for words. The networks are able to learn interesting internal representations which incorporate task demands with memory demands: indeed, in this approach the notion of memory is inextricably bound up with task processing. These representations reveal a rich structure, which allows them to be highly context‐dependent, while also expressing generalizations across classes of items. These representations suggest a method for representing lexical categories and the type/token distinction. (shrink)

The language sciences—Linguistics, Psycholinguistics, and Computational Linguistics—have not been broadly represented at the Cognitive Science Society meetings of the past 30 years, but they are an important part of the heart of cognitive science. This article discusses several major themes that have dominated the controversies and consensus in the study of language and suggests the most pressing issues of the future. These themes include differences among the language science disciplines in their view of numbers and symbols and of modular and (...) distributed cognition, and the need for an increasing prominence of questions concerning language and the brain. (shrink)

The aim of the present paper is to understand what the notions of explanation and prediction in contemporary linguistics mean, and to compare various aspects that the notion of explanation encompasses in that domain. The paper is structured around an opposition between three main styles of explanation in linguistics, which I propose to call ‘grammatical’, ‘functional’, and ‘historical’. Most of this paper is a comparison between these different styles of explanations and their relations. A second, more methodological aspect this paper (...) seeks to clarify concerns the extent to which linguistic explanations can be viewed as predictive, rather than merely descriptive, and the problem of whether linguistic explanations ought to be causal, rather than noncausal. I argue that the notion of prediction is equally applicable in linguistics as in other empirical sciences. The extent to which the computational model of generative syntax can be viewed as providing a causal or psychologically realist model of language is more controversial. (shrink)