Legal terms have a special status at the interface between language and law. Adopting the general framework developed by Jackendoff and the concepts competence and performance as developed by Chomsky, it is shown that legal terms cannot be fully accounted for unless we set up a category of abstract objects. This idea corresponds largely to the classical view of terminology, which has been confronted with some challenges recently. It is shown that for legal terms, arguments against abstract objects are not (...) pertinent. As abstract objects are not natural, it is important to consider their creation. Two types of creation are distinguished and illustrated, one for new concepts and one for terms corresponding to existing general language concepts. In the latter case, it is important for the abstract object to remain close enough to the intuitive prototype. At the same time, legal terms as abstract objects are shown to have a natural place in relation to legal theory. (shrink)

This article proposes a number of models to examine through which mechanisms a population of autonomous agents could arrive at a repertoire of perceptually grounded categories that is sufficiently shared to allow successful communication. The models are inspired by the main approaches to human categorisation being discussed in the literature: nativism, empiricism, and culturalism. Colour is taken as a case study. Although we take no stance on which position is to be accepted as final truth with respect to human categorisation (...) and naming, we do point to theoretical constraints that make each position more or less likely and we make clear suggestions on what the best engineering solution would be. Specifically, we argue that the collective choice of a shared repertoire must integrate multiple constraints, including constraints coming from communication. Key Words: autonomous agents; colour categorisation; colour naming; connectionism; cultural evolution; genetic evolution; memes; origins of language; self-organisation; semiotic dynamics; symbol grounding. (shrink)

The view that the brain is a sort of computer has functioned as a theoretical guideline both in cognitive science and, more recently, in neuroscience. But since we can view every physical system as a computer, it has been less than clear what this view amounts to. By considering in some detail a seminal study in computational neuroscience, I first suggest that neuroscientists invoke the computational outlook to explain regularities that are formulated in terms of the information content of electrical (...) signals. I then indicate why computational theories have explanatory force with respect to these regularities:in a nutshell, they underscore correspondence relations between formal/mathematical properties of the electrical signals and formal/mathematical properties of the represented objects. I finally link my proposal to the philosophical thesis that content plays an essential role in computational taxonomy. (shrink)

Quite unexpectedly, cognitive psychologists find their field intimately connected to a whole new intellectual landscape that had previously seemed remote, unfamiliar, and all but irrelevant. Yet the proliferating connections tying together the cognitive and evolutionary communities promise to transform both fields, with each supplying necessary principles, methods, and a species of rigor that the other lacks. (Cosmides and Tooby, 1994, p. 85).

One of the central questions in both metaethics and empirical moral psychology is whether moral judgments are the products of reason or emotions. This way of putting the question relies on an overly simplified view of reason and emotion as two fully independent cognitive faculties whose causal contributions to moral judgment can be cleanly separated. However, there is a significant body of evidence in the cognitive sciences that seriously undercuts this conception of reason and emotion, and supports the view that (...) moral judgments are caused by a complex interplay of psychological mechanisms that are both cognitive and affective, but in a way that is not simply a function of the independent causal contributions of reason and emotion. The paper concludes by considering the implications of this view for metaethics. (shrink)

Though nativist hypotheses have played a pivotal role in the development of cognitive science, it remains exceedingly obscure how they—and the debates in which they figure—ought to be understood. The central aim of this paper is to provide an account which addresses this concern and in so doing: a) makes sense of the roles that nativist theorizing plays in cognitive science and, moreover, b), explains why it really matters to the contemporary study of cognition. I conclude by outlining a range (...) of further implications of this account for current debate in cognitive science. (shrink)

According to a popular strategy amongst economists and philosophers, in order to solve the problem of interpersonal utility comparisons, we have to look at how ordinary people make such comparisons in everyday life. The most recent attempt to develop this strategy has been put forward by Goldman in his “Simulation and Interpersonal Utility” (Ethics 4:709–726, 1995). Goldman claims, first, that ordinary people make interpersonal comparisons by simulation and, second, that simulation is reliable for making interpersonal comparisons. In this paper, I (...) focus on Goldman’s latter claim. After updating Goldman’s account of how ordinary people make interpersonal comparisons in the light of Goldman’s newest formulation of his simulation theory of mental ascription (Goldman, Simulating Minds. Oxford University Press, Oxford, 2006), I develop and assess Goldman’s arguments in favour of the reliability of simulation for interpersonal comparisons. I argue that, under certain conditions, there may be room for a scientifically acceptable solution to the problem of interpersonal utility comparisons. (shrink)

The major goal of René Descartes’s rich and penetrating recent book, Meditations on First Philosophy, is to develop a methodology for the discovery of the truth, more specifically, a methodology that accommodates the dictates of a mathematical physics for our view of physical reality. Such a methodology must accordingly deal with and seek to defuse the apparent conflict between a mathematical physics and our commonsense picture of things, a conflict that continues to pose difficult challenges. Though much in the book (...) is devoted to an account of the mind, that focus results from the broader goal of finding a methodology for discovery that will deliver an overall picture of reality consonant with a mathematical physics. Much that Descartes says in this book may strike many readers as extravagant and implausible, and perhaps hardly worth serious consideration. But there is a line of argument one can extract that is challenging and often compelling, even if not in the end wholly convincin .. (shrink)

Along with the increasing popularity of connectionist language models has come a number of provocative suggestions about the challenge these models present to Chomsky's arguments for nativism. The aim of this paper is to assess these claims. We begin by reconstructing Chomsky's argument from the poverty of the stimulus and arguing that it is best understood as three related arguments, with increasingly strong conclusions. Next, we provide a brief introduction to connectionism and give a quick survey of recent efforts to (...) develop networks that model various aspects of human linguistic behavior. Finally, we explore the implications of this research for Chomsky's arguments. Our claim is that the relation between connectionism and Chomsky's views on innate knowledge is more complicated than many have assumed, and that even if these models enjoy considerable success the threat they pose for linguistic nativism is small. (shrink)

This paper presents a blueprint for an ecological cognitive architecture. Ecological psychology, I contend, must be complemented with a story about the role of the CNS in perception, action, and cognition. To arrive at such a story while staying true to the tenets of ecological psychology, it will be necessary to flesh out the central metaphor according to which the animal perceives its environment by ‘resonating’ to information in energy patterns: what is needed is a theory of resonance. I offer (...) here the two main elements of such a theory: a framework and a methodology. (shrink)

The recent surge of interest in the cognitive science of religion has resulted in a number of studies regarding the memorability of minimally counterintuitive ideas. The present model incorporates ontological templates and their respective inferences, as well as delineates between two major types of violations: schema- and template-level violations. As humor is also defined by its counter-intutiveness at the schema level, this study was designed to find effects this emotion has on retention. Results suggest that humorous statements with parallel violations (...) are recalled significantly better than statements which have only template-level violations, affective statements with only schema-level violations, as well as intuitive statements in both immediate and 1-week follow-up sessions. (shrink)

_ Source: _Page Count 14 One common problem with anti-skepticism and skepticism alike is their failure to account for our sometimes conflicting epistemic intuitions. In order to address this problem and provide a new direction for solving the skeptical puzzle, I consider a modified version of the puzzle that is based on knowledge claims about appearances and does not result in a paradox. I conclude that combining the elements of both the original and modified puzzle can potentially guide us towards (...) solutions that can fully explain the conflict of epistemic intuitions. (shrink)

It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between (...) cognitive scientific and folk psychological phenomena in a number of cognitive domains. We consider the methodological and theoretical significance of our arguments for cognitive science research. (shrink)

We argue that formal linguistic theory, properly extended, can provide a unifying framework for diverse phenomena beyond traditional linguistic objects. We display applications to pictorial meanings, visual narratives, music, dance, animal communication, and, more abstractly, to logical and non-logical concepts in the ‘language of thought’ and reasoning. In many of these cases, a careful analysis reveals that classic linguistic notions are pervasive across these domains, such as for instance the constituency (or grouping) core principle of syntax, the use of logical (...) variables (for object tracking), or the variety of inference types investigated in semantics/pragmatics. The aim of this overview is to show how the application of formal linguistic concepts and methodology to non-linguistic objects yields non-trivial insights, thus opening the possibility of a general, precise theory of signs. (An appendix, found in the online supplements to this article, surveys applications of Super Linguistics to animal communication.). (shrink)

We argue that formal linguistic theory, properly extended, can provide a unifying framework for diverse phenomena beyond traditional linguistic objects. We display applications to pictorial meanings, visual narratives, music, dance, animal communication, and, more abstractly, to logical and non-logical concepts in the ‘language of thought’ and reasoning. In many of these cases, a careful analysis reveals that classic linguistic notions are pervasive across these domains, such as for instance the constituency (or grouping) core principle of syntax, the use of logical (...) variables (for object tracking), or the variety of inference types investigated in semantics/pragmatics. The aim of this overview is to show how the application of formal linguistic concepts and methodology to non-linguistic objects yields non-trivial insights, thus opening the possibility of a general, precise theory of signs. (An appendix, found in the online supplements to this article, surveys applications of Super Linguistics to animal communication.). (shrink)

This article presents a sobering view of the discipline of cognitive neuropsychology as practiced over the last three or four decades. Our judgment is that, although the study of abnormal cognition resulting from brain injury or disease in previously normal adults has produced a catalogue of fascinating and highly selective deficits, it has yielded relatively little advance in understanding how the brain accomplishes its cognitive business. We question the wisdom of the following three “choices” in mainstream cognitive neuropsychology: (a) single‐case (...) methodology, (b) dissociation between functions as the most important source of evidence, and (c) a central goal of diagramming the functional architecture of cognition rather than specifying how its components work. These choices may all stem from an excessive commitment to strict and fine‐grained modularity. Although different brain regions are undoubtedly specialized for different functions, we argue that parallel and interactive processing is a better assumption about cognitive processing. The essential goal of specifying representations and processes can, we claim, be significantly assisted by computational modeling which, by its very nature, requires such specification. (shrink)

One of the principal tasks Dennett sets himself in Consciousness Explained is to demolish the Cartesian theater model of phenomenal consciousness, which in its contemporary garb takes the form of Cartesian materialism: the idea that conscious experience is a process of presentation realized in the physical materials of the brain. The now standard response to Dennett is that, in focusing on Cartesian materialism, he attacks an impossibly naive account of consciousness held by no one currently working in cognitive science or (...) the philosophy of mind. Our response is quite different. We believe that, once properly formulated, Cartesian materialism is no straw man. Rather, it is an attractive hypothesis about the relationship between the computational architecture of the brain and phenomenal consciousness, and hence one that is worthy of further exploration. Consequently, our primary aim in this paper is to defend Cartesian materialism from Dennett’s assault. We do this by showing that Dennett’s argument against this position is founded on an implicit assumption (about the relationship between phenomenal experience and information coding in the brain), which while valid in the context of classical cognitive science, is not forced on connectionism. (shrink)

In this paper, I utilise the growing literature on scientific modelling to investigate the nature of formal semantics from the perspective of the philosophy of science. Specifically, I incorporate the inferential framework proposed by Bueno and Colyvan : 345–374, 2011) in the philosophy of applied mathematics to offer an account of how formal semantics explains and models its data. This view produces a picture of formal semantic models as involving an embedded process of inference and representation applying indirectly to linguistic (...) phenomena. The final aim of the paper is directed at proposing a novel account of the syntax–semantics interface while shedding light on empty categories, semantically null forms, underspecified content and compositionality as a whole. (shrink)

The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that corresponding (...) conceptions are rooted in four different aspects of our common-sense conception of mental phenomena and their explanation, which are illegitimately transferred to scientific enquiry. These four aspects pertain to the notion of explanation, to conceptions about which mental phenomena are singled out for enquiry, to an inductivist epistemology, and, in the wake of behavioristic conceptions, to a bias favoring investigations of input–output relations at the expense of enquiries into internal principles. To the extent that the cognitive neurosciences methodologically adhere to these tacit assumptions, they are prone to turn into a largely a-theoretical and data - driven endeavor while at the same time enhancing the prospects for receiving widespread public appreciation of their empirical findings. (shrink)

There are many interesting empirical and theoretical issues concerning the evolution of cognition. Despite this, recent books on the topic concentrate on two problems. One is mental modularity. The other is what distinguishes human from non-human minds. While it is easy to understand why people are interested in human uniqueness, it is not clear why modularity is the centre of attention. Fodor (2000) has a nice argument for why people _should_ be interested in modularity.

ABSTRACT This paper is concerned with the ontological status of linguistic types. According to a widely held view, linguistic types are abstract objects that are instantiated or represented by tokens. The same types might be tokened by both speech, signing and text. This view has implications for how we consider what it is to know a language since knowledge of language is typically taken to be knowledge of linguistic types. We argue below that linguistic types are not abstract objects but (...) action-types and that these action-types are individuated by the capacities that they manifest. The picture that results from this view is that to know a language is to have the capacities required to perform these action-types. (shrink)

Emotion scientists often take an ambivalent stance concerning the role of language in a science of emotion. However, it is important for emotion researchers to contemplate some of the consequences of current practices for their theory building. There is a danger of an overreliance on the English language as a transparent window into emotion categories. More consideration has to be given to cross-linguistic comparison in the future so that models of language acquisition and of the language–cognition interface fit better the (...) extant variation found in today’s peoples. (shrink)

The goal of the paper is to develop and propose a general model of the state space of AI. Given the breathtaking progress in AI research and technologies in recent years, such conceptual work is of substantial theoretical interest. The present AI hype is mainly driven by the triumph of deep learning neural networks. As the distinguishing feature of such networks is the ability to self-learn, self-learning is identified as one important dimension of the AI state space. Another dimension is (...) recognized as generalization, the possibility to go over from specific to more general types of problems. A third dimension is semantic grounding. Our overall analysis connects to a number of known foundational issues in the philosophy of mind and cognition: the blockhead objection, the Turing test, the symbol grounding problem, the Chinese room argument, and use theories of meaning. It shall finally be argued that the dimension of grounding decomposes into three sub-dimensions. And the dimension of self-learning turns out as only one of a whole range of “self-x-capacities” (based on ideas of organic computing) that span the self-x-subspace of the full AI state space. (shrink)

'Knowledge' doesn't correctly describe our relation to linguistic rules. It is too thick a notion. On the other hand, 'cognize', without further elaboration, is too thin a notion, which is to say that it is too thin to play a role in a competence theory. One advantage of the term 'knowledge'-and presumably Chomsky's original motivation for using it-is that knowledge would play the right kind of role in a competence theory: Our competence would consist in a body of knowledge which (...) we have and which we may or may not act upon-our performance need not conform to the linguistic rules that we know. Is there a way out of the dilemma? I'm going to make the case that the best way to talk about grammatical rules is simply to say that we have them. That doesn't sound very deep, I know, but saying that we have individual rules leaves room for individual norm guidance in a way that 'cognize' does not. Saying we have a rule like subjacency is also thicker than merely saying we cognize it. Saying I have such a rule invites the interpretation that it is a rule for me-that I am normatively guided by it. The competence theory thus becomes a theory of the rules that we have. Whether we follow those rules is another matter entirely. (shrink)

By pointing to deep philosophical confusions endemic to cognitive science, Wittgenstein might seem an enemy of computational approaches. We agree that while Wittgenstein would reject the classicist’s symbols and rules approach, his observations align well with connectionist or neural network approaches. While many connectionisms that dominated the later twentieth century could fall prey to criticisms of biological, pedagogical, and linguistic implausibility, current connectionist approaches can resolve those problems in a Wittgenstein-friendly manner. We present the basics of a Vector Symbolic Architecture (...) formalism, inspired by Smolensky, and indicate how high-dimensional vectors can operate in a context-sensitive and object-independent manner in biologically plausible time scales, reflecting Wittgenstein’s notions of language-games and family resemblance; we show how “soft” symbols for such a formalism can be formed with plausible learning cycles using Sparse Distributed Memory, resolving disputes surrounding Wittgenstein’s private language argument; and show how connectionist networks can extrapolate meaningful patterns to solve problems, providing “ways to go on” without explicit rules, which indicates linguistic plausibility. Connectionism thus provides a systematicity and productivity that is more than a mere implementation of a classical approach, and provides Wittgenstein-friendly and Wittgenstein-illuminating models of mind and language for cognitive science. (shrink)

Non-adjacent or long-distance dependencies (LDDs) are routinely considered to be a distinctive trait of language, which purportedly locates it higher than other sequentially organized signal systems in terms of structural complexity. This paper argues that particular languages display specific resources (e.g. non-interpretive morphological agreement paradigms) that help the brain system responsible for dealing with LDDs to develop the capacity of acquiring and processing expressions with such a human-typical degree of computational complexity. Independently obtained naturalistic data is discussed and put to (...) the service of the idea that the above-mentioned resources exert their developmental role from the outside, but in compliance with other internal resources, ultimately compounding an integrated developmental system. Parallels with other human and nonhuman developmental phenomena are explored, which point to the conclusion that the developmental system of concern can be assimilated to cases currently been conceptualized as ‘cue-response systems’ or ‘developmental hybrids’ within the ecological-developmental paradigm in theoretical biology. Such a conclusion is used to support the idea that both current externalist and internalist concepts fall short of a correct characterization of language. (shrink)

I discuss two types of evidential problems with the most widely touted experiments in evolutionary psychology, those performed by Leda Cosmides and interpreted by Cosmides and John Tooby. First, and despite Cosmides and Tooby's claims to the contrary, these experiments don't fulfil the standards of evidence of evolutionary biology. Second Cosmides and Tooby claim to have performed a crucial experiment, and to have eliminated rival approaches. Though they claim that their results are consistent with their theory but contradictory to the (...) leading non-evolutionary alternative, Pragmatic Reasoning Schemas theory, I argue that this claim is unsupported. In addition, some of Cosmides and Tooby's interpretations arise from misguided and simplistic understandings of evolutionary biology. While I endorse the incorporation of evolutionary approaches into psychology, I reject the claims of Cosmides and Tooby that a modular approach is the only one supported by evolutionary biology. Lewontin's critical examinations of the applications of adaptationist thinking provide a background of evidentiary standards against which to view the currently fashionable claims of evolutionary psychology. (shrink)

Davidson argues that metaphorical sentences express no propositional contents other than the explicit literal contents they express. He offers a causal account, on the one hand, as an explanation of the supposed additional content of a metaphor in terms of the effects metaphors have on hearers, and on the other hand, as a reason for the non-propositional nature of the “something more” that a metaphor is alleged to mean. Davidson’s account is meant to restrict the semantic notions of meaning, content, (...) and truth, to literal sentences. I argue that the Davidsonian causal account does not satisfactorily account for metaphor’s figurativeness, speakers’ assertion and hearers’ uptake of metaphor, and our discursive practices of using metaphors in disagreements and argumentation. I offer a non-compositional analysis of a semantic account of metaphor within which one can make sense of the applicability of the notions of meaning and content to metaphor. This analysis shows that metaphorical sentences have meanings other than, and in addition to, their literal meanings and what speakers can use them to mean. (shrink)

Intellectualist theories attempt to assimilate know how to propositional knowledge and, in so doing, fail to properly explain the close relation know how bears to action. I develop here an anti-intellectualist theory that is warranted, I argue, because it best accounts for the difference between know how and mere “armchair knowledge.” Know how is a mental state characterized by a certain world-to-mind direction of fit (though it is non-motivational) and attendant functional role. It is essential of know how, but not (...) propositional knowledge, that it makes possible performance errors and has the functional role of guiding action. The theory is attractive, in part, because it allows for propositional, non-propositional and perhaps even non-representational varieties of know how. (shrink)

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this (...) manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach. (shrink)

In this paper, I seek to refute arguments for the idea that folk psychological explanation, i.e., the explanation of actions, beliefs and desires in terms of one another, should be understood as being of a different character than ordinary scientific explanations, a view defended most prominently in analytical philosophy by Donald Davidson and John McDowell. My strategy involves arguing both against the extant arguments for the idea that FP must be construed as giving such explanations, and also against the very (...) notion of such a different kind of explanation. I argue first that the in some sense a priori and conceptual nature of folk psychological principles does not support the idea that these are other than empirical generalisations, by appeal to recent nativist ideas in cognitive science and to Lewis's conception of the meaning of theoretical terms. Second, I argue that there is no coherent sense in which folk psychological explanations can be seen as normative. Thirdly, I examine the putatively holistic character of the mental and conclude that that too fails to provide any cogent reasons for viewing folk psychological explanations as different from other kinds of explanation. (shrink)

Two main theories of concepts have emerged in the recent psychological literature: the Prototype Theory (which considers concepts to be self-contained lists of features) and the Theory Theory (which conceives of them as being embedded within larger theoretical networks). Experiments supporting the first theory usually differ substantially from those supporting the second, which suggests that these the· ories may be operating at different levels of explanation and dealing with different entities. A convergence is proposed between the Theory Theory and the (...) intentional stance in the philosophy of language and mind. From this stance, concepts should not be thought of as concrete physical entities. (shrink)