A novel proposal that the unified nature of our cognition can be partially explained by a
cognitive architecture based on graphical models. Our ordinary, everyday thinking requires …

Sigma (Σ) is a cognitive architecture and system whose development is driven by a
combination of four desiderata: grand unification, generic cognition, functional elegance …

A first step is taken towards incorporating emotional processing into Sigma, a cognitive
architecture that is grounded in graphical models, with the addition of appraisal variables for …

One of the most common applications of human intelligence is social interaction, where
people must make effective decisions despite uncertainty about the potential behavior of …

Building on earlier work extending Sigma's mixed (symbols+ probabilities) graphical band to
inference in feedforward neural networks, two forms of neural network learning–target …

The status of Sigma's grounding in graphical models is challenged by the ways in which
their semantics has been violated while incorporating rule-based reasoning into them. This …

Recently reported results with distributed-vector word representations in natural language
processing make them appealing for incorporation into a general cognitive architecture like …

Symbolic architectures are effective at complex cognitive reasoning, but typically are
incapable of important forms of sub-cognitive processing–such as perception–without …

Simulations, along with other similar applications like virtual worlds and video games,
require computational models of intelligence that generate realistic and credible behavior for …

In an experiment in functional elegance, episodic memory and learning have been
deconstructed in the Sigma cognitive architecture in terms of pre-existing memory and …