CS Colloquium: Paul Rosenbloom (USC) - A Common Model of Cognition (née A Standard Model of the Mind)
Wed, Nov 07, 2018 @ 06:00 PM - 07:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Paul Rosenbloom , USC
Talk Title: A Common Model of Cognition (nÃ©e A Standard Model of the Mind)
Series: Computer Science Colloquium
Abstract: A common (or standard) model captures a community consensus over a coherent region of science, serving as a cumulative reference point for the field that can provide guidance for both research and applications, while also focusing efforts to extend or revise it. An effort has been initiated recently to build such a model for human-like minds, computational entities -\" whether natural or artificial -\" whose structures and processes are substantially similar to those found in human cognition. The core hypothesis is that cognitive architectures provide the appropriate computational abstraction for defining such a model, although the model is not itself such an architecture. The model began as a consensus at the 2013 AAAI Fall Symposium on Integrated Cognition but has since been extended via a synthesis across three existing cognitive architectures: ACT-R, Sigma, and Soar. The resulting model spans key aspects of structure and processing, memory and content, learning, and perception and motor; highlighting loci of architectural agreement as well as disagreement with the consensus while identifying potential areas of remaining incompleteness. Work to build this into a community-wide effort is also in progress.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Paul Rosenbloom is Professor of Computer Science in the Viterbi School of Engineering at the University of Southern California and Director for Cognitive Architecture Research at USC\'s Institute for Creative Technologies. He was a member of USC\'s Information Sciences Institute for two decades, ending as its Deputy Director, and earlier was on the faculty at Carnegie Mellon University and Stanford University. His research concentrates on cognitive architectures (integrated models of the fixed structures underlying minds), the possibility of a Common Model of Cognition (a community consensus concerning what must be in a cognitive architecture), and on the nature and structure of computing as a scientific domain and its overlap with the other domains of human study. He is a Fellow of the Association for the Advancement of Artificial Intelligence, the Association for the Advancement of Science, and the Cognitive Science Society.
More Info: https://goo.gl/forms/w7WRcpF7xqY3As4T2
Audiences: Everyone Is Invited
Contact: Computer Science Department