Travis L. Seymour, PhD

Background

EPIC is a computational cognitive architecture that specifies a theory of human performance and a facility to create individual task models constrained by that theory. EPIC compacts decades of psychological theory and findings into a rich set of processors and interactions, including those that model sensory perceptual, motor, cognitive, and memory subsystems of the human mind.

EPIC currently exists as an integration between a computational version of the architecture written in C++ (EPIClib) and a GUI-based simulation environment that uses it, also written in C++ (EPICapp). EPIC only runs on MacOS, and some tasks (e.g., writing virtual tasks, or perceptual encoders) requires knowledge of the C++ programming language.

What's New

EPICpy is a cross-platform Python-based interface to EPIClib that allows programming task devices and perceptual encoders in the Python programming language. However, EPIClib itself is still coded in C++.

This repository contains the *source code* for the EPICpy documentation.

For more information:

• EPICpy Article
• EPICpy Overview, Binary Installers, Dockerfile, and Sample Tasks
• Detailed EPICpy Documentation (The docs in this repository hosted for public use)

Project Sources

• EPICpy Source Repository
• EPICpy Documentation Repository (this repository)