Clarion Project
The Clarion Project Home Page
Introduction
Clarion is a project investigating fundamental structures and mechanisms of the human mind. In particular, it explores the interaction of implicit and explicit cognition, emphasizing bottom-up processes (i.e., from implicit to explicit processes). It also explores the interaction of motivation, cognition, and metacognition. The project aims for the synthesis of many significant intellectual ideas into a coherent (theoretical and computational) model. The goal is to form a generic cognitive architecture that captures a variety of psychological processes in a unified, coherent way and thus to provide unified explanations of a wide range of mental phenomena.
The current objective of this project is two-fold: (a) developing artificial agents in various cognitive task domains and (b) understanding human mental processes in these same domains. The project is led by Prof. Ron Sun. The project has been supported by various funding agencies, including ONR and ARI.
List of Participants (past and present)
Can Mekik
Sergei Bugrov
Adan Gomez
Shane Bretz
Bob Mathews
Sean Lane
Xi Zhang
Yizchak Naveh-Benjamin (Isaac Naveh)
Paul Slusarz
Todd Peterson
Chad Sessions
Chris Terry
Pierson Fleischer
Joe Allen
Eric Werben
Ryan Allison
Dehu Qi
Ed Merrill
A Quick Sketch of Clarion
See here
A List of Publications on Clarion
See here
Clarion Tutorials and Slides
A much simplified (non-technical) description of CLARION 5.0, written by a student, providing some general ideas concerning CLARION: A Simplified Introduction to CLARION 5.0, or A Simplified Introduction to CLARION 5.0 . Technical report, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY. 2004.
Software for Clarion
Ongoing experimental Python implementation of Clarion: PyClarion, PyClarion dev
The separate Clarion software Website
Clarion 6.1.0 (in C#) (the 3rd beta release)
Clarion 6.0 (in Java): the beta version and a patch