Most philosophical accounts of emergence are incompatible with reduction. Most scientists regard a system property as emergent relative to properties of the system's parts if it depends upon their mode of organization--a view consistent with reduction. Emergence can be analyzed as a failure of aggregativity--a state in which "the whole is nothing more than the sum of its parts." Aggregativity requires four conditions, giving tools for analyzing modes of organization. Differently met for different decompositions of the system, and in different (...) degrees, these conditions provide powerful evaluation criteria for choosing decompositions, and heuristics for detecting biases of vulgar reductionisms. This analysis of emergence is compatible with reduction. (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)

Antireductionist philosophers have argued for higher-order classifications of qualia that locate consciousness outside the scope of conventional scientific explanations, viz., by classifying qualia as intrinsic, basic, or subjective properties, antireductionists distinguish qualia from extrinsic, complex, and objective properties, and thereby distinguish conscious mental states from the possible explananda of functionalist or physicalist explanations. I argue that, in important respects, qualia are intrinsic, basic, and subjective properties of conscious mental states, and that, contrary to antireductionists' suggestions, these higher-order classifications are compatible (...) with qualia reduction. I demonstrate this compatibility by examining the putative higher-order properties of qualia and comparing them to the higher-order properties characteristic of connectionist models of cognitive processes. I contend that the higher-order properties characteristic of connectionist networks approximate the putative higher-order properties of qualia sufficiently well to conclude that qualia reductionism can accommodate claims that qualia are intrinsic, basic, and subjective properties, and explain the motivating intuitions for those claims generated by inverted, absent, and alien qualia thought experiments. In this way I argue that the putative higher-order classifications of qualia not only fail to defeat qualia reduction but, ironically, turn out to support it. (shrink)

Questions about concepts bring into play all the cognitive science disciplines. For many centuries, concepts belonged to philosophy; but more recently, these original caretakers have shared responsibility for this domain with cognitive and developmental psychology, linguistics, artificial intelligence, anthropology, and neuroscience. Each of these fields has offered insights into these building blocks of thought, and each has contributed a unique perspective on fundamental questions about the nature of minds. However, the integrative approach of cognitive science holds the promise of providing (...) new vantage points from a range of disciplines on this core issue. (shrink)