Words have meaning. Sentences also have meaning, but their meaning is different in kind from any collection of the meanings of the words they contain. I discuss two puzzles related to this difference. The first is how the meanings of the parts of a sentence combine to give rise to a unified sentential meaning, as opposed to a mere collection of disparate meanings (UP1). The second is why the formal ontology of linguistic meaning changes when grammatical structure is built up (...) (UP2). For example, the meaning of a sentence is a proposition evaluable for truth and falsity. In contrast, a collection of the meanings of its parts does not constitute a proposition and is not evaluable for truth. These two puzzles are closely related, since change in formal ontology is the clearest sign of the unity of meaning. The most popular strategy for answering them is taking the meanings of the parts as abstractions from primitive sentence meanings. However, I argue that, given plausible psychological constraints, sentence meanings cannot be taken as explanatory primitives. Drawing on recent work in Generative Grammar and its philosophy, I suggest that the key to both unity questions is to distinguish strictly between lexical and grammatical meaning. The latter is irreducible and determines how lexical content is used in referential acts. I argue that these referential properties determine a formal ontology, which explains why and how formal ontology changes when grammatical structure is built up (UP2). As for UP1, I suggest that, strictly speaking, lexical meanings never combine. Instead, whenever grammar specifies a formal ontology for the lexical meanings entering a grammatical derivation, further lexical (or phrasal) meanings can only specify aspects of this recursive grammatical process. In this way, contemporary grammatical theory can be used to address old philosophical problems. (shrink)

A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...) and neural models. The explanations of behavior provided are like those traditional in the physical sciences, unlike the explanations provided by symbolic models. Higher-level analyses of these connectionist models reveal subtle relations to symbolic models. Parallel connectionist memory and linguistic processes are hypothesized to give rise to processes that are describable at a higher level as sequential rule application. At the lower level, computation has the character of massively parallel satisfaction of soft numerical constraints; at the higher level, this can lead to competence characterizable by hard rules. Performance will typically deviate from this competence since behavior is achieved not by interpreting hard rules but by satisfying soft constraints. The result is a picture in which traditional and connectionist theoretical constructs collaborate intimately to provide an understanding of cognition. (shrink)

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 problems, by (...) contrast, present tractable problems of search insofar as the relevant regularities can be found by sampling the input data as originally coded. Type-2 problems, we suggest, present neither rare nor pathological cases. They are rife in biologically realistic settings and in domains ranging from simple animat behaviors to language acquisition. Not only are such problems rife – they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding biases so as to reduce specific type-2 problems to type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy – namely, the maximal exploitation of states of representation already achieved by prior, simpler learning so as to reduce the amount of subsequent computational search. Such exploitation both characterizes and helps make unitary sense of a diverse range of mechanisms. These include simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription”. In addition, the most distinctive features of human cognition – language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

Ken Safir, Rutgers University ABSTRACT: It is argued that the indexicality of first person pronouns is arises from a restriction on the pronouns themselves, as opposed to any operator that binds them. The nature of this restriction is an asyntactic constant function that picks out individuals to the context of utterance (following Kaplan, 1989)). Constant function pronouns do not require an antecedent, neither an operator nor an argument, although this does not prevent them from participating in bound readings if an (...) appropriate antecedent is introduced. The notion that agents of contexts and agents of propositional attitudes are versions of the same operator-variable relation is thus rejected, along with certain less fine-grained versions of the nature of de se interpretation. Consequently, indexical pronouns such as first person ones contrast with logophoric pronouns, which are necessarily operator-bound by perspectival operators introduced by propositional attitude verbs. Scope-sensitive properties of operator-binding and the perspectival interpretations that are imposed on logophoricity distinguish the latter from constant function phenomena, which are sensitive neither to scope, as it is usually treated, nor perspectival shifts. Constant function phenomena are also detectable as restrictions on third person forms, and two such examples are lightly explored: the English generic pronoun one and the proximate/obviative distinction in languages like Fox. (shrink)

In visual science, color is usually regarded as a subjective phenomenon. The relationship between the specific color experiences that are evoked by a visual scene and the physical properties of the surfaces viewed in that scene are complex and highly dependent on spatial context. There is no simple correspondence between experienced color and a stable class of physical reflectances.

Some philosophers suspect that the functionalist account of mind supports a psychologistic account of logic. One who has argued for a connection of this kind is Remmel T. Nunn. If the connection holds, it might be a powerful support for the currently unfashionable position of psychologism; conversely, it might be a damaging objection to functionalism. In either case, to estabjish the connection would be an achievement of considerable philosophic interest.

In recent years, a number of well-known intentional realists have focused their energy on attempts to provide a naturalized theory of mental representation. What tends to be overlooked, however, is that a naturalized theory of mental representation will not, by itself, salvage intentional realism. Since most naturalistic properties play no interesting causal role, intentional realists must also solve the problem of showing how intentional properties , even if naturalized, could be causally efficacious. Because of certain commitments, this problem is especially (...) difficult for intentional realists such as Fodor. In the current paper I focus on the problem as it arises for such realists, and I argue that the best-known solution proposed to date is inadequate. If what I say is correct, then such intentional realists are left with an additional and substantial problem, and one that has generally not been sufficiently appreciated. (shrink)

For all animals, color is an indicator of the substance and state of objects, for which purpose reflectance is just one among many relevant optical properties. This broader meaning of color is confirmed by linguistic evidence. Rather than reducing color to a simple physical property, it is more realistic to embrace its full phenomenology.

The novel correspondence metaphor outlined by Koriat & Goldsmith offers important advantages for studying critical issues of memory-accuracy. It also fits well with the current emphasis on the reconstructive nature of memory and on the role of cognitive, metacognitive, and motivational factors in memory performance. These positive features notwithstanding, the storehouse/correspondence framework faces potential perils having to do with its implied linkage to the laboratory/real-life controversy and its proposal of studying correspondence issues in isolation from memory phenomena captured by the (...) storehouse paradigm. (shrink)

Traditionally, intentionality is regarded as that feature of all and only mental states – paradigmatically beliefs and desires – in virtue of which they are directed at or are about something. The problem of intentionality is to explain how it fits into the natural order given the intuition that no physical entity can be intentionally directed in this sense. The basic assumption of this paper, proposed by enactivists, is that failure to naturalize intentionality and mental representation is partly due to (...) the fact that most participants in the debate take intentionality and mental representation to be equivalent. In contrast, it is proposed to treat intentionality as a feature of whole embodied agents (paradigmatically organisms) who can be directed at objects and states of affairs in various ways, while representation should be regarded as a feature of mental states (and their respective vehicles or underlying mechanisms). The present paper develops and motivates the distinction, applies it to Metzinger’s project of naturalizing phenomenal representation, and demonstrates the range of theoretical options with respect to a delineation of cognition given the enactive proposal. It is taken as problematic that enactivism takes the realm of cognition to be identical to the realm of biology. Instead, a constraint on a theory of intentionality and representation is that it should delineate the subject matter of cognitive science and distinguish it from other sciences, also to leave room for the possibility of artificial intelligence. One important implication of the present proposal is that there can be creatures which can be intentionally directed without having the capacity to represent. That is, their intentionality is restricted to being able to be directed at existent things. Only creatures in possession of the right kind of neurocognitive architecture can produce and sustain representations in order to be directed at non-existent things. It is sketched how this approach conceives of intentionality as a developmental and layered concept, allowing for a hierarchical model of varieties of intentionality, ranging from the basic pursuit of local environmental goals to thoughts about fictional objects. (shrink)

Kognitionswissenschaften – in einem weiten Sinn – sind einfach alle die Wissen- schaften, die sich mit der Analyse und Erklärung kognitiver Leistungen und Fähig- keiten befassen. Wenn man jedoch von der Kognitionswissenschaft im Singular spricht, dann ist in der Regel mehr gemeint. Für die Kognitionswissenschaft ist nicht nur ein bestimmter Forschungsgegenstand charakteristisch, sondern auch ein be- stimmter Erklärungsansatz: der Informationsverarbeitungsansatz. Stillings et al. z.B. schreiben gleich auf der ersten Seite ihres 1987 erschienenen Buches Cognitive Science – An Introduction: „Cognitive scientists (...) view the human mind as a complex system that receives, stores, retrieves, transforms, and transmits information.“ (Stil- lings et al. 1987: 1) Der Informationsverarbeitungsansatz führt jedoch sofort weiter zum Symbolverarbeitungsansatz. Denn offenbar kann ein System nur dann Informa- tionen empfangen, speichern und verarbeiten, wenn es über ein System von internen Repräsentationen oder Symbolen verfügt, über eine interne Sprache, in der diese In- formationen codiert sind. Zumindest ist das eine naheliegende Überlegung, die Peter Hacker so formuliert hat: „... if information is received, encoded, decoded, inter- preted and provides grounds for making plans, then there must be a language or sys- tem of representation in which this is all done.“ (Hacker 1987: 486f.) In der Tat ist die Annahme, daß es in kognitiven Systemen so etwas wie ein System interner Rep- räsentationen bzw. eine Sprache des Geistes1 gibt, die zentrale Grundannahme vieler neuerer Arbeiten in den Bereichen der Kognitionspsychologie und der kognitiven Neurobiologie. Für diese Wissenschaften hat diese Annahme den Status einer empi-. (shrink)