The tradition descending from Frege and Russell has typically treated theories of meaning either as theories of meanings, or as theories of truth conditions. However, propositions of the classical sort don't exist, and truth conditions can't provide all the information required by a theory of meaning. In this book, one of the world's leading philosophers of language offers a way out of this dilemma. Traditionally conceived, propositions are denizens of a "third realm" beyond mind and matter, "grasped" by mysterious Platonic (...) intuition. As conceived here, they are cognitive-event types in which agents predicate properties and relations of things--in using language, in perception, and in nonlinguistic thought. Because of this, one's acquaintance with, and knowledge of, propositions is acquaintance with, and knowledge of, events of one's cognitive life. This view also solves the problem of "the unity of the proposition" by explaining how propositions can be genuinely representational, and therefore bearers of truth. The problem, in the traditional conception, is that sentences, utterances, and mental states are representational because of the relations they bear to inherently representational Platonic complexes of universals and particulars. Since we have no way of understanding how such structures can be representational, independent of interpretations placed on them by agents, the problem is unsolvable when so conceived. However, when propositions are taken to be cognitive-event types, the order of explanation is reversed and a natural solution emerges. Propositions are representational because they are constitutively related to inherently representational cognitive acts. Strikingly original, What Is Meaning? is a major advance. (shrink)

Does thought have distinctive experiential features? Is there, in addition to sensory phenomenology, a kind of cognitive phenomenology--phenomenology of a cognitive or conceptual character? Leading philosophers of mind debate whether conscious thought has cognitive phenomenology and whether it is part of conscious perception and conscious emotion.

It is an integral part of the phenomenology of mature perceptual experience that it seems to present to us an experience-independent world. I shall call this feature 'perceptual intentionality'. In this paper, I argue that perceptual intentionality is constructed by the structure of more basic sensory features, features that are not intentional themselves. This theory can explain why the same sensory feature can figure both in presentational and non-presentational experiences. There is a fundamental difference between the intentionality of sensory experiences (...) and the intentionality of thoughts: unlike the former, the latter is not constructed. (shrink)

Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...) brain capture bottom-up patterns of activation in sensory-motor areas. Later, in a top-down manner, association areas partially reactivate sensory-motor areas to implement perceptual symbols. The stor- age and reactivation of perceptual symbols operates at the level of perceptual components – not at the level of holistic perceptual expe- riences. Through the use of selective attention, schematic representations of perceptual components are extracted from experience and stored in memory (e.g., individual memories of green, purr, hot). As memories of the same component become organized around a com- mon frame, they implement a simulator that produces limitless simulations of the component (e.g., simulations of purr). Not only do such simulators develop for aspects of sensory experience, they also develop for aspects of proprioception (e.g., lift, run) and introspec- tion (e.g., compare, memory, happy, hungry). Once established, these simulators implement a basic conceptual system that represents types, supports categorization, and produces categorical inferences. These simulators further support productivity, propositions, and ab- stract concepts, thereby implementing a fully functional conceptual system. Productivity results from integrating simulators combinato- rially and recursively to produce complex simulations. Propositions result from binding simulators to perceived individuals to represent type-token relations. Abstract concepts are grounded in complex simulations of combined physical and introspective events. Thus, a per- ceptual theory of knowledge can implement a fully functional conceptual system while avoiding problems associated with amodal sym- bol systems. Implications for cognition, neuroscience, evolution, development, and artificial intelligence are explored. (shrink)

Some analytic philosophers have recently been defending the thesis that there’s “something it’s like” to consciously think a particular thought, which is qualitatively different from what it’s like to be in any other kind of conscious mental state and from what it’s like to think any other thought, and which constitutes the thought’s intentional content. (I call this the “intentional phenomenology thesis”). One objection to this thesis concerns the introspective availability of such content: If it is true that intentional phenomenology (...) is constitutive of intentional content, and that conscious phenomenology is always introspectively available, then it ought to be true that the content of any concept consciously entertained is always introspectively available. But it is not. For example, one can know introspectively that one is thinking that one knows that p without knowing introspectively what the content of the concept of knowledge is. Hence, it cannot be that intentional content is constituted by cognitive phenomenology. -/- I explore three responses to this objection. First, it is not clear that all of the contents of consciousness must be equally available to introspection. The capacities for conscious experience and introspective attention to it are distinct. It is not implausible that the resolving power of the latter might be insufficient to discern all of the fine-grained details of the former, or that its scope might be limited. Second, it is possible that in cases of incomplete accessibility one is entertaining only part of the concept the relevant term expresses in one’s language. In the knowledge case, for example, perhaps one is thinking only that one has justified true belief that p (one’s self-attribution of a thought about knowledge is in fact false). Finally, in such cases one might be consciously entertaining only part of the relevant concept, the rest remaining unconscious, and so unavailable to conscious introspection. I conclude that the objection is not decisive against the intentional phenomenology thesis. (shrink)

There is a strong pull to the idea that there is some metaphysically interesting distinction between the fully real, objective, observer-independent qualities of things as they are in themselves, and the less-than-fully-real, subjective, observer-dependent qualities of things as they are for us. Call this (putative) distinction the primary/secondary quality distinction. The distinction between primary and secondary qualities is philosophically interesting because it is (a) often quite attractive to draw such a distinction, and (b) incredibly hard to spell it out in (...) any kind of satisfying and sensible way. I attempt such a spelling-out after first trying to pin down in more detail what we want from the primary/secondary quality distinction, and saying a bit about why that is such a hard thingto get. (shrink)

Evidence from functional neuroimaging of the human brain indicates that information about salient properties of an object¿such as what it looks like, how it moves, and how it is used¿is stored in sensory and motor systems active when that information was acquired. As a result, object concepts belonging to different categories like animals and tools are represented in partially distinct, sensory- and motor property-based neural networks. This suggests that object concepts are not explicitly represented, but rather emerge from weighted activity (...) within property-based brain regions. However, some property-based regions seem to show a categorical organization, thus providing evidence consistent with category-based, domain-specific formulations as well.Acronyms and DefinitionsBiological motion: motion of animate agents characterized by highly flexible, fully articulated motion vectors, in contrast to the rigid, unarticulated motion vectors associated with most tools.Category-specific disorder: a relatively greater impairment in retrieving information about members of one superordinate object category (e.g., animals) as compared with other categories following brain injury or diseaseIPS: intraparietal sulcusLO: lateral occipital cortexObject concept: memory representations of a class or category of objects. Necessary for numerous cognitive functions including identifying an object as a member of a specific category and drawing inferences about object propertiespMTG: posterior middle temporal gyruspSTS: posterior superior temporal sulcusRepetition suppression: decreased neural response associated with repeated presentation of an identical, or a semantically/conceptually related, stimulusSD: semantic dementiaSemantic memory: a large division of long-term memory containing knowledge about the world including facts, ideas, beliefs, and conceptsSemantic priming: a short-lasting facilitation in processing a stimulus due to the prior presentation of a semantically related stimulusTMS: transcranial magnetic stimulationVPMC: ventral premotor cortex. (shrink)

Research on human infants, adult nonhuman primates, and children and adults in diverse cultures provides converging evidence for four systems at the foundations of human knowledge. These systems are domain specific and serve to represent both entities in the perceptible world (inanimate manipulable objects and animate agents) and entities that are more abstract (numbers and geometrical forms). Human cognition may be based, as well, on a fifth system for representing social partners and for categorizing the social world into groups. Research (...) on infants and children may contribute both to understanding of these systems and to attempts to overcome misconceptions that they may foster. (shrink)