Professor Emeritus
Social Sciences Division
Professor Emeritus
Faculty
Social Sciences 2
Room 373
(Spring 2024) Friday 9:15-10:15 am in rm 373 ZOOM - https://ucsc.zoom.us/j/99317794410?pwd=KzNJb1VXSkdlcDlyUlBPOW5CUDhKZz09
Psychology Faculty Services
Ph.D., Brown University
B.S., Stanford University
Empirical and computer simulation approaches to the study of perceptual and cognitive processes, with a focus on psycholinguistics.
Alan Kawamoto's research interests are in cognitive science. The goal of his research is to understand how information is presented and processed, using computer simulations and empirical methods. The theoretical framework that motivates this research is known as parallel distributed processing, or connectionism. In parallel distributed processing, a large number of simple processing units are connected to each other in a network. The strengths of these connections are determined using various learning algorithms. Each unit has a level of activation that is determined in part by the activation it receives from the environment, from the other units in the network, and from itself. Information is processed through the transmission of a value reflecting the level of activation of a unit throughout the units in the network. The appropriate level of activation for all units in the network is determined in parallel, i.e., simultaneously.
Professor Kawamoto's current work focuses on memory in general and the lexical memory and speech production in particular. He is studying how words are recognized and pronounced in isolation or in a context (syntactic, semantic, pragmatic, or prosodic). Unambiguous as well as ambiguous words (e.g., wind and project) are being considered. Syntactic issues are also considered as they relate to the problem of accessing information from the mental lexicon.