Modeling meta-cognition in a cognitive architecture

This paper describes how meta-cognitive processes may be captured within a cognitive architecture Clarion. Existing cognitive architectures often lack built-in meta-cognitive mechanisms. However, meta-cognitive pro-cesses are important, in that they are an essential part of cognition and without them, cognition may not func-tion properly. We contend that meta-cognitive mecha-nisms should be an integral part of cognitive architec-tures, and thus they have been developed as a part of Clarion. It is demonstrated how human data of meta-cognitive experiments may be simulated using Clarion. The simulations show that meta-cognitive processes can be adequately captured within the Clarion framework