Robot Head FixThe INTRO 
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Example HR

The INTRO system (Cox, 2005) represents a cognitive integration of problem-solving, comprehension, learning, and metacognition. The program incorporates the current version of the Meta-AQUA (Cox, 1996, Cox & Ram, 1999) introspective multistrategy learning system and the Prodigy/Agent (Cox, Edwin, Balasubramanian, & Elahi, 2001) nonlinear state-space planning and learning architecture.

The system architecture and flow of information within INTRO is shown below.


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References

Cox, M. T. (2005). Perpetual self-aware cognitive agents. In M. Anderson & T. Oates (Eds.), Proceedings of the AAAI Spring Symposium on Metacognition in Computation (pp. 42-48). Menlo Park, CA: AAAI Press.

Cox, M. T. (1996). Introspective multistrategy learning: Constructing a learning strategy under reasoning failure. (Tech. Rep. No. GIT-CC-96-06). Doctoral dissertation, Georgia Institute of Technology, College of Computing, Atlanta.

Cox, M. T., Edwin, G., Balasubramanian, K., & Elahi, M. (2001). Multiagent goal transformation and mixed-initiative planning using Prodigy/Agent. In N. Callaos, B. Sanchez, L. H. Encinas, & J. G. Busse (Eds.), Proceedings of the 5th World Multiconference on Systemics, Cybernetics and Informatics, Vol. VII (pp. 1-6). Orlando, FL: International Institute of Informatics and Systemics.

Cox, M. T., & Ram, A. (1999). Introspective multistrategy learning: On the construction of learning strategies. Artificial Intelligence, 112, 1-55.

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