The meaning of 'most' can be described in many ways. We offer a framework for distinguishing semantic descriptions, interpreted as psychological hypotheses that go beyond claims about sentential truth conditions, and an experiment that tells against an attractive idea: 'most' is understood in terms of one-to-one correspondence. Adults evaluated 'Most of the dots are yellow', as true or false, on many trials in which yellow dots and blue dots were displayed for 200 ms. Displays manipulated the ease of using a (...) 'one-to-one with remainder' strategy, and a strategy of using the Approximate Number System to compare of (approximations of) cardinalities. Interpreting such data requires care in thinking about how meaning is related to verification. But the results suggest that 'most' is understood in terms of cardinality comparison, even when counting is impossible. (shrink)

Noam Chomsky claims that we know the grammatical principles of our languages in pretty much the same sense that we know ordinary things about the world (e.g. facts), a view about linguistic knowledge that I term ''cognitivism''. In much recent philosophy of linguistics (including that sympathetic to Chomsky's general approach to language), cognitivism has been rejected in favour of an account of grammatical competence as some or other form of mental mechanism, describable at various levels of abstraction (''non-cognitivism''). I argue (...) for cognitivism and against non-cognitivism. First, I show that the distinction between competence and performance in current linguistics is as clearly made as ever it was, in spite of recent interest in linguistic processing modules. Second, I use these facts about the practice of theoretical linguistics to refute various proposals for a non-cognitivist construal of grammatical competence, and to support cognitivism by reflecting on the inapplicability of a multi-level account of linguistic competence. Cognitivism is then defended against several objections centring around the problems of rational integration and conceptualization of grammatical knowledge. Finally, the conception of competence argued for in relation to linguistics is placed in the larger context of cognitive science research and its implications for philosophy of mind. (shrink)

The paper develops a novel account of the nature and genesis of some philosophical problems, which motivates an unfamiliar form of philosophical criticism that was pioneered by the later Wittgenstein. To develop the account, the paper analyses two thematically linked sets of problems, namely problems about linguistic understanding: a set of problems Wittgenstein discusses in a core part of his Philosophical Investigations, and the ‘problem of linguistic creativity’ that is central to current philosophy of language. The paper argues that these (...) problems are generated by tacit and unwarranted presuppositions at odds with warranted beliefs the philosophers raising the problems reflectively hold at the same time. For a rigorous conceptualisation of this phenomenon, the paper develops the notion of a ‘philosophical picture’ first proposed by Wittgenstein, and specifies the particular class of philosophical problems that may be raised due to adherence to such pictures. The results motivate a new form of philosophical criticism: the systematic exposure of relevant philosophical pictures, and efforts to overcome their tacit influence on philosophical reflection. (shrink)

The later Wittgenstein advanced a revolutionary but puzzling conception of how philosophy ought to be practised: Philosophical problems are not to be coped with by establishing substantive claims or devising explanations or theories. Instead, philosophical questions ought to be treated ‘like an illness’. Even though this ‘non-cognitivism’ about philosophy has become a focus of debate, the specifically ‘therapeutic’ aims and ‘non-theoretical’ methods constitutive of it remain ill understood. They are motivated by Wittgenstein’s view that the problems he addresses result from (...) misinterpretation, driven by ‘urges to misunderstand’. The present paper clarifies this neglected concept and analyses how such ‘urges’ give rise to pseudo-problems of one particular, hitherto little understood, kind. This will reveal ‘therapeutic’ aims reasonable and ‘non-theoretical’ methods necessary, in one clearly delineated and important part of philosophy. I.e.: By developing a novel account of nature and genesis of one important class of philosophical problems, the paper explains and vindicates a revolutionary reorientation of philosophical work, at the level of both aims and methods. (shrink)

Critical notice of Andy Clark's "Associative Engines".

In this article, I argue that if tacit knowledge of grammar is analyzable in functional‐computational terms, then it cannot ground linguistic meaning, structure, or sound. If to know or cognize a grammar is to be in a certain computational state playing a certain functional role, there can be no unique grammar cognized. Satisfying the functional conditions for cognizing a grammar G entails satisfying those for cognizing many grammars disagreeing with G about expressions' semantic, phonetic, and syntactic values. This threatens the (...) Chomskyan view that expressions have such values for speakers because they cognize grammars assigning them those values. For if this is true, semantics, syntax, and phonology must be indeterminate, thanks to the indeterminacy of grammar‐cognizing (qua functional‐computational state). So, the fact that a speaker cognizes a grammar cannot explain the determinate character of their language. (shrink)

Many philosophers suppose that sometimes we think we are saying or thinking something meaningful when in fact we’re not saying or thinking anything at all: we are producing nonsense. But what is nonsense? An account of nonsense must, I argue, meet two constraints. The first constraint requires that nonsense can be rationally engaged with, not just mentioned. In particular, we can reason with nonsense and use it within that-clauses. An account which fails to meet this constraint cannot explain why nonsense (...) appears meaningful. The second constraint requires that nonsense does not express thoughts. An account which fails to meet this constraint undercuts the critical force of the concept of nonsense. I offer an account which meets both constraints. The central idea is that to be under the illusion that some nonsense makes sense is to enter a pretence that the nonsense is meaningful. (shrink)

It has been known for some time that context-dependence poses a problem for disquotationalism, but the problem has largely been regarded as one of detail: one that will be solved by the right sort of cleverness. I argue here that the problem is one of principle and that extant solutions, which are based upon the notion of translation, cannot succeed.

Many debates in philosophy focus on whether folk or scientific psychological notions pick out cognitive natural kinds. Examples include memory, emotions and concepts. A potentially interesting type of kind is: kinds of mental representations (as opposed, for example, to kinds of psychological faculties). In this chapter we outline a proposal for a theory of representational kinds in cognitive science. We argue that the explanatory role of representational kinds in scientific theories, in conjunction with a mainstream approach to explanation in cognitive (...) science, suggest that representational kinds are multi-level. This is to say that representational kinds’ properties cluster at different levels of explanation and allow for intra- and inter-level projections. (shrink)

Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and thus engage in cognitive processes that (...) make their problem solving algorithms computationally suboptimal, in contrast with the optimal algorithms studied in the computational approach. Therefore, in order to accurately model the human cognitive tasks involved in mathematical problem solving, we need to expand our methodology to also include aspects relevant to the algorithmic level. This allows us to study algorithms that are cognitively optimal for human problem solvers. Since problem solving methods are not universal, I propose that they should be studied in the framework of enculturation, which can explain the expected cultural variance in the humanly optimal algorithms. While mathematical problem solving is used as the case study, the considerations in this paper concern modeling of cognitive tasks in general. (shrink)

Je soutiens qu’accepter les explications réalistes intentionnelles du comportement cognitif conduit inévitablement à endosser l’hypothèse du langage de la pensée, et que cette position théorique est, par conséquent, largement répandue chez les philosophes de l’esprit. Au cours de la discussion, je propose un exposé succinct et précis de cette hypothèse et j’analyse une série d’exemples représentatifs de l’argumentation pro-LOT. Après avoir examiné deux cas de résistance à ce type de raisonnement, je conclus en montrant que le soutien accordé à la (...) LOT est empiriquement substantiel, en dépit de la flexibilité et du caractère incomplet de cette hypothèse. (shrink)

Testimony, the transmission of knowledge through communication, requires a shared understanding of linguistic expressions and utterances of them. Is this understanding itself a kind of knowledge, knowledge of meaning? The intuitive answer is ‘yes’, but the nature of such knowledge is controversial, as is the assumption that understanding is a kind of knowledge at all. This article is a critical examination of recent work on the nature and role of semantic knowledge in the generation of the linguistic understanding needed for (...) testimony. After describing a default view – that linguistic understanding partially consists in the possession and application of knowledge of a compositional theory of truth conditions – it scrutinizes two recent charges against this view: that linguistic understanding and knowledge of meaning are conceptually distinct, and that semantic ‘knowledge’ is knowledge without an object. (shrink)

This article deals with the cognitive relationship between a speaker and her internal grammar. In particular, it takes issue with the view that such a relationship is one of belief or knowledge (I call this view the ‘Propositional Attitude View’, or PAV). I first argue that PAV entails that all ordinary speakers (tacitly) possess technical concepts belonging to syntactic theory, and second, that most ordinary speakers do not in fact possess such concepts. Thus, it is concluded that speakers do not (...) literally ‘know’ or ‘believe’ much of the contents of their grammars, and moreover, that these contents can only be attributed at a subpersonal level. (shrink)

This paper proposes an Interface Transparency Thesis concerning how linguistic meanings are related to the cognitive systems that are used to evaluate sentences for truth/falsity: a declarative sentence S is semantically associated with a canonical procedure for determining whether S is true; while this procedure need not be used as a verification strategy, competent speakers are biased towards strategies that directly reflect canonical specifications of truth conditions. Evidence in favor of this hypothesis comes from a psycholinguistic experiment examining adult judgments (...) concerning ‘Most of the dots are blue’. This sentence is true if and only if the number of blue dots exceeds the number of nonblue dots. But this leaves unsettled, e.g., how the second cardinality is specified for purposes of understanding and/or verification: via the nonblue things, given a restriction to the dots, as in ‘|{x: Dot(x) & ~Blue(x)}|’; via the blue things, given the same restriction, and subtraction from the number of dots, as in ‘|{x: Dot(x)}| – |{x: Dot(x) & Blue(x)}|’; or in some other way. Psycholinguistic evidence and psychophysical modeling support the second hypothesis. (shrink)

Abstract In the first part of this essay (Russell, 1988a) I argued that ?cognisance? (roughly: a subject's knowledge of his relation to the physical world as an experiencer of it) cannot be explained in terms of a syntactic theory of mind, due to the ?referential? and ?holistic? nature of this knowledge. The syntactic account of the higher mental functions is immediately intelligible to us due to its derivation from computer technology, so this would not appear to be a happy result (...) for scientific psychology. In this paper I outline a strategy for developing a scientific psychology of cognisance, beginning from the assumption that such a theory should have a similar status to Chomsky's competence theory of human grammar, whilst diverging from Chomsky on the question of how such a theory should be answerable to data. Most of the paper is taken up with illustrating the way in which Jean Piaget's theory of mental development in humans is at least a first approximation to such a theory. (shrink)

Disquotationalism is the view that the only notion of truth we really need is one that can be wholly explained in terms of such trivialities as: “Snow is white” is true iff snow is white. The 'Classical Disquotational Strategy' attempts to establish this view case by case, by showing that each extant appeal to truth, in philosophical or scientific explanations, can be unmasked as an appeal only to disquotational truth. I argue here that the Classical Strategy fails in at least (...) two cases: attributions of truth to context-dependent utterances and uses of truth psychological explanations of behavioral success or, more fundamentally, appeals to falsity in psychological explanations of behavioral failure. -/- It's my intention to turn this paper into two papers. It's become quite unwieldy as it is---not unlike "The Strength of Truth Theories". (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)

Knowledge of a language is a kind of knowledge, the possession of which enables a speaker to understand and perform a variety of linguistic actions in that language. In this paper, I pursue an agency-oriented approach to knowledge of language. I begin by examining two major agency-oriented models of knowledge of language: Michael Dummett's Implicit Knowledge Model and Jennifer Hornsby's Practical Knowledge Model. I argue that each of these models is inadequate for different reasons. I present an Acquaintance Knowledge Model, (...) in which a speaker's knowledge of a language is a combination of the speaker's first-order linguistic ability and second-order acquaintance with his ability and actions. (shrink)

How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...) stated by any premise. They then test the validity of the conclusion by searching for alternative models that might refute the conclusion. The theory also resolves long-standing puzzles about reasoning, including how nonmonotonic reasoning occurs in daily life. The book reports experiments on all the main domains of deduction, including inferences based on prepositional connectives such as “if” and “or,” inferences based on relations such as “in the same place as,” inferences based on quantifiers such as “none,” “any,” and “only,” and metalogical inferences based on assertions about the true and the false. Where the two theories make opposite predictions, the results confirm the model theory and run counter to the formal rule theories. Without exception, all of the experiments corroborate the two main predictions of the model theory: inferences requiring only one model are easier than those requiring multiple models, and erroneous conclusions are usually the result of constructing only one of the possible models of the premises. (shrink)

In this paper we consider two key concepts from software engineering—‘specification’ and ‘implementation’—and explore their possible applications outside software engineering to other disciplines, notably the philosophy of action, evolutionary biology, and cognitive science. Throughout, the emphasis is on the gain in conceptual clarity that can be afforded by these concepts; it is not so much a matter of new knowledge or new theories but of a reorganization of existing knowledge and theories in a way that facilitates the transfer of insights (...) across a range of related fields. (shrink)

This article presents a detailed formal approach to concepts and concept combination. Sense generation is a competence‐level theory that attempts to respect constraints from the various cognitive sciences, and postulates “quasi‐classical” conceptual structures where attributes receive only one value (but are defeasible and so do not represent necessary and sufficient conditions on category membership) and where classification is binary (but explicitly context‐sensitive). It is also argued that any general theory of concepts must account for “privative” combinations (e.g., stone lion, fake (...) gun, apparent friend) as extreme test‐cases of representational and classificatory flexibility. The approach presented therefore provides a treatment of these combinations. The approach differentiates between the “lexical concept” (the stable information represented in a mental lexicon) which acts as a base from which the various “senses” (flexible contents associated with words and phrases in context, and used in classification) are “generated.” Generation allows nonmonotonicity, so that in different circumstances, different attributes may be defeated or modified. Classification is treated as relative to the perspective adopted, so that a classification acceptable from one perspective may be unacceptable from another, without contradiction. The result is a view that assumes bottom‐up priority in concept combination, where the range of senses generated by bottom‐up rules of combination is tempered by pragmatic‐communicative constraints on classification. An account of the representational and classification behavior of privative combinations is outlined, and the article concludes with a discussion of some of the implications of the approach. (shrink)

According to the theory theory of folk psychology, our engagement in the folk psychological practices of prediction, interpretation and explanation draws on a rich body of knowledge about psychological matters. According to the simulation theory, in apparent contrast, a fundamental role is played by our ability to identify with another person in imagination and to replicate or re-enact aspects of the other person’s mental life. But amongst theory theorists, and amongst simulation theorists, there are significant differences of approach.

Epistemology of language, a branch of both epistemology and the philosophy of language, asks what knowledge of language consists in. In this paper, I argue that such an inquiry is a pointless enterprise due to its being based upon the incorrect assumption that linguistic competence requires knowledge of language. However, I do not think the phenomenon of knowledge of language is trivial. I propose a virtue-theoretic account of linguistic competence, and then explain the phenomenon from a virtue-semantic point of view.

In evolutionary biology, a trait is said to be optimal if it maximizes the fitness of the organism, that is, if the trait allows the organism to survive and reproduce better than any other competing trait would. In engineering, a design is said to be optimal if it complies with its functional requirements as well as possible. Cognitive science is both a biological and engineering discipline and hence it uses both notions of optimality. Unfortunately, the lack of a clear methodological (...) stance on this tissue has made it common for researchers to conflate these two kinds of optimality. In this paper, I argue that a strict distinction must kept in order to avoid inaccurate assumptions. (shrink)

In the study of cognitive processes, limitations on computational resources (computing time and memory space) are usually considered to be beyond the scope of a theory of competence, and to be exclusively relevant to the study of performance. Starting from considerations derived from the theory of computational complexity, in this paper I argue that there are good reasons for claiming that some aspects of resource limitations pertain to the domain of a theory of competence.

When someone masters a skill, their performance looks to us like second nature: it looks as if their actions are smoothly performed without explicit, knowledge-driven, online monitoring of their performance. Contemporary computational models in motor control theory, however, are instructionist: that is, they cast skillful performance as a knowledge-driven process. Optimal motor control theory, as representative par excellence of such approaches, casts skillful performance as an instruction, instantiated in the brain, that needs to be executed—a motor command. This paper aims (...) to show the limitations of such instructionist approaches to skillful performance. We specifically address the question of whether the assumption of control-theoretic models is warranted. The first section of this paper examines the instructionist assumption, according to which skillful performance consists of the execution of theoretical instructions harnessed in motor representations. The second and third sections characterize the implementation of motor representations as motor commands, with a special focus on formulations from OMCT. The final sections of this paper examine predictive coding and active inference—behavioral modeling frameworks that descend, but are distinct, from OMCT—and argue that the instructionist, control-theoretic assumptions are ill-motivated in light of new developments in active inference. (shrink)

This paper exploits recent work on the normative and constitutive roles of knowledge in practical rationality, to put pressure on the idea that speakers could communicate without exploiting linguisticknowledge. I defend cognitivism about meaning, the view that speakers haverationally accessible(i.e., implicit rather than tacit) knowledge of semantic facts and principles, and that this knowledge is constitutive of their linguistic competence.

Davidson conjectured that suitably formulated Tarski-style theories of truth can “do duty” as theories of meaning for the spoken languages that humans naturally acquire. But this conjecture faces a pair of old objections that are, in my view, fatal when combined. Foster noted that given any theory of the sort Davidson envisioned, for a language L, there will be many equally true theories whose theorems pair endlessly many sentences of L with very different specifications of whether or not those sentences (...) are true. And if L includes words ‘true’, then for reasons stressed by Tarski, it’s hard to see how any truth theory for L could be correct. Moreover, each of these concerns amplifies the other. Appealing to possible worlds will not help with Foster’s Problem, for reasons that Chomsky discussed in the 1950s, and appealing to trivalent models of truth will not avoid concerns illustrated with Liar Sentences. (shrink)