Half-day tutorial (9:00am - 12:30pm) [more information on Clarion]
Nicholas Wilson, Cognitive Science Dept.
Michael Lynch, Dept. of Language, Literature and Communication, RPI
This tutorial introduces participants to the CLARION cognitive architecture and presents a detailed description, as well as simulation examples, advanced topics, and demonstrations. It will combine conceptual (psychological), theoretical, and implementation aspects of the architecture. Participants should have some prior exposure to cognitive architectures and artificial neural networks. Preferably, participants should also have some experience with programming languages (in particular Java). Participants in the tutorial are encouraged to ask questions throughout the presentation to clarify any ideas described. However, prior understanding of these areas can be limited, as both basic and advanced topics related to cognitive modeling using CLARION will be covered.
Prerequisite knowledge: We expect participants to have some general programming experience and a basic understanding of symbolic processing. Some prior knowledge of cognitive architectures or rule-based AI systems is useful but not required.
Nicholas Wilson is a Teaching and Research Assistant in the Cognitive Science Department, Rensselaer Polytechnic Institute. He is extensively versed in both the conceptual and implementation details of the CLARION cognitive architecture.
Michael Lynch is a Teaching and Research Assistant in the Cognitive Science Department, Rensselaer Polytechnic Institute. He is extensively versed in both the conceptual and implementation details of the CLARION cognitive architecture. The presenters consist of associate researchers who work on system implementation, modeling, and simulation of Clarion. They have presented variations of the tutorial at the 30th Annual Meeting of the Cognitive Science Society in Washington D.C. and as a lecture series on several occasions for various courses in Cognitive Science at Rensselaer Polytechnic Institute. In addition, the tutorial has been presented (by other presenters) at the 2009 International Joint Conference on Neural Networks in Atlanta, GA.