Sigma

Sigma is a cognitive architecture.

Our focus is on the development of the Sigma (∑) architecture, which explores the graphical architecture hypothesis that progress at this point depends on blending what has been learned from over three decades worth of independent development of cognitive architectures and graphical models, a broadly applicable state-of-the-art formalism for constructing intelligent mechanisms. The result is a hybrid (discrete+continuous) mixed (symbolic+probabilistic) approach that has yielded initial results across memory and learning, problem solving and decision making, mental imagery and perception, speech and natural language, and emotion and attention.

• List of publications: https://cogarch.ict.usc.edu/publications-new/
• Detailed Paper: link, papers/Cognitive Science/Sigma - 10.1515_jagi-2016-0001.pdf
• Best short summary paper: papers/The Sigma Cognitive Architecture and System - AISBQ136.pdf
• Source Code, how to get started and a tutorial: https://bitbucket.org/sigma-development/sigma-release/wiki/Home
• PySigma https://github.com/TownesZhou/PySigma/blob/master/docs/PySigma%20Documentation.md
• Tutorial Slides:
  1. data/sigma/Sigma-tutorial-slides.pdf
  2. data/sigma/Sigma AAMAS 2016 Tutorial Slides.pdf