The Sigma Cognitive Architecture and System

May 9, 2016 | Singapore

Speaker: Paul S. Rosenbloom
Host: 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2016)

Sigma (Σ) is a nascent cognitive system—i.e., the beginnings of an integrated computational model of intelligent behavior—built around an eponymous cognitive architecture (a hypothesis about the fixed structure underlying cognition).   As such, it is intended ultimately to support the real-time needs of intelligent agents, robots and virtual humans.   Its development is driven by four desiderata—grand unification, generic cognition, functional elegance, and sufficient efficiency—plus a unique blend of ideas from over thirty years of independent work in the areas of cognitive architectures and graphical models.  Work to date on Sigma has covered aspects of learning and memory, perception and attention, reasoning and problem solving, speech and language, and social and affective cognition.  It has also involved the development of multiple distinct types of intelligent agents and virtual humans.  This tutorial covers the rationale behind Sigma, the basics of its design and operation, and a number of the results that have been generated to date with it.