Meta-AQUA 
Publications 

1. Cox, M. T. (2005a). Metacognition in computation: A selected research review. Artificial Intelligence. 169 (2), 104-141.
   
2. Cox, M. T. (2005b). 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.
3. Cox, M. T. (1997a). An explicit representation of reasoning failures. In D. B. Leake & E. Plaza (Eds.), Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 211-222). Berlin: Springer-Verlag.
4. Cox, M. T. (1997b). Loose coupling of failure explanation and repair: Using learning goals to sequence learning methods. In D. B. Leake & E. Plaza (Eds.), Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 425-434). Berlin: Springer-Verlag.
5. Cox, M. T. (1996a). An empirical study of computational introspection: Evaluating introspective multistrategy learning in the Meta-AQUA system. In R. S. Michalski & J. Wnek, (Eds.), Proceedings of the Third International Workshop on Multistrategy Learning (pp. 135-146). Menlo Park, CA: AAAI Press / The MIT Press.
6. Cox, M. T. (1996b). 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.
7. Cox, M. T. (1995). Representing mental events (or the lack thereof). In M. T. Cox & M. Freed (Eds.), Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms (pp. 22-30). Menlo Park, CA: AAAI Press / The MIT Press.
8. Cox, M. T. (1994a). Case-based introspection [Research summary]. In the Proceedings of the Twelfth National Conference on Artificial Intelligence(p. 1435). Cambridge, MA: The MIT Press.
9. Cox, M. T. (1994b). Machines that forget: Learning from retrieval failure of mis-indexed explanations. In Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 225-230). Hillsdale, NJ: Lawrence Erlbaum Associates.
10. Cox, M. T. (1993). Introspective multistrategy learning. Ph.D. thesis proposal, (Cognitive Science Tech. Rep. No. 2). Atlanta: Georgia Institute of Technology, College of Computing.
11. Cox, M. T., & Freed, M. (1994). Using knowledge of cognitive behavior to learn from failure. In J. W. Brahan and G. E. Lasker (Eds.), In J. W. Brahan and G. E. Lasker (Eds.), Proceedings of the Seventh International Conference on Systems Research, Informatics and Cybernetics: Vol. 2. Advances in Artificial Intelligence - Theory and Application (pp. 142-147). Windsor, Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
12. Cox, M. T., & Ram, A. (1999a).  Introspective Multistrategy Learning: On the construction of learning strategies. Artificial Intelligence, 112, 1-55.
13. Cox, M. T., & Ram, A. (1999b).  On the intersection of story understanding and learning. In A. Ram & K. Moorman (Eds.), Understanding language understanding: Computational models of reading (pp. 397-434). Cambridge, MA: MIT Press/Bradford Books.
14. Cox, M. T., & Ram, A. (1995). Interacting learning-goals: Treating learning as a planning task. In J.-P. Haton, M. Keane & M. Manago (Eds.), Advances in case-based reasoning (pp. 60-74). Berlin: Springer-Verlag.
15. Cox, M. T., & Ram, A. (1994a). Choosing learning strategies to achieve learning goals. In M. desJardins & A. Ram (Eds.), Proceedings of the 1994 AAAI Spring Symposium on Goal-Driven Learning (pp. 12-21). Menlo Park, CA: AAAI Press / The MIT Press.
16. Cox, M. T., & Ram, A. (1994b). Failure-driven learning as input bias. In Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 231-236). Hillsdale, NJ: Lawrence Erlbaum Associates.
17. Cox, M. T., & Ram, A. (1994c). Managing learning goals in strategy selection problems. In M. Keane, J.-P. Haton, & M. Manago (Eds.), Proceedings of the Second European Workshop on Case-Based Reasoning (pp. 85-93). Paris: AcknoSoft Press.
18. Cox, M. T., & Ram, A. (1992a). Multistrategy learning with introspective meta-explanations. In D. Sleeman & P. Edwards (Eds.), Machine Learning: Ninth International Conference (ML92) (pp. 123-128). San Mateo, CA: Morgan Kaufmann.
19. Cox, M. T., & Ram, A. (1992b). An explicit representation of forgetting. In J. W. Brahan and G. E. Lasker (Eds.), Proceedings of the Sixth International Conference on Systems Research, Infor matics and Cybernetics: Vol. 2. Advances in Artificial Intelligence - Theory and Application (pp. 115-120). Windsor, Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
20. Cox, M. T., & Ram, A. (1991). Using introspective reasoning to select learning strategies. In R. S. Michalski and G. Tecuci (Eds.), Proceedings of the First International Workshop on Multistrategy Learning (pp. 217-230). Washington, DC: George Mason University, Center for Artificial Intelligence.
21. Lee, P., & Cox, M. T. (2002). Dimensional indexing for targeted case-base retrieval: The SMIRKS system (pp 62-66). In S. Haller & G. Simmons (Eds.) Proceedings of the 15th International Florida Artificial Intelligence Research Society Conference. Menlo Park, CA: AAAI Press.
22. Ram, A., & Cox, M. T. (1994). Introspective reasoning using meta-explanations for multistrategy learning. In R. S. Michalski & G. Tecuci (Eds.), Machine Learning: A multistrategy approach IV (pp. 349-377). San Mateo, CA: Morgan Kaufmann.
23. Ram, A., Cox, M. T., & Narayanan, S. (1995). Goal-driven learning in multistrategy reasoning and learning systems. In A. Ram & D. Leake (Eds.), Goal-driven learning (pp. 421-437). Cambridge, MA: MIT Press/Bradford Books.
24. Ram, A., Cox, M. T., & Narayanan, S. (1992, July). An architecture for integrated introspective learning. In Proceedings on Workshop on Computational Architectures for Supporting Knowledge Acquisition and Learning held at ML-92, Aberdeen, Scotland.
25. Ram, A., Narayanan, S., & Cox, M. T. (1995). Learning to trouble-shoot: Multistrategy learning of diagnostic knowledge for a real-world problem solving task. Cognitive Science, 19(3), 289-340.