• Michael Cox and Ashwin Ram. Using Introspective Reasoning to Select Learning Strategies 1 Introduction. pages 217–230, 1991.
• Michael T Cox and Ashwin Ram. Multistrategy Learning with Introspective Meta-Explanations. pages 123–128, 1992.
• Ashwin Ram. AQUA : Questions that drive the explanation process Georgia Institute of Technology Introduction : Question-driven understanding. 1993.
• M Cox. Machines that forget: Learning from retrieval failure of mis-indexed explanations. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, pages 225–230, 1994.
• Michael T Cox. Case-Based Introspection *. page 1994, 1994.
• M Cox and A Ram. Choosing Learning Strategies to Achieve Goals. Proceedings of the 1994 AAAI Spring Symposium on Goal-Driven Learning, 1994.
• M Cox and A Ram. Managing learning goals in strategy-selection problems. Proceedings of the Second European Workshop on Case-Based Reasoning, (1):85–93, 1994.
• Michael T Cox and Ashwin Ram. Failure-Driven Learning as Input Bias Failure-Driven Input Bias : Two Examples. 1994.
• Michael T. Cox and Ashwin Ram. Interacting learning-goals: Treating learning as a planning task. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 984:60–74, 1995. (doi:10.1007/3-540-60364-6_27)
• Ashwin Ram and Micheal T Cox. Introspective Reasoning Using Meta–Explanations for Multistrategy Learning. Goal-driven learning, IV:211–240, 1995.
• Ashwin Ram, Micheal T Cox, and S Narayanan. Goal–Driven Learning in Multistrategy Reasoning and Learning Systems. Goal-driven learning, (ii):421–438, 1995.
• Michael Cox. Introspective Multistrategy Learning : Constructing a Learning Strategy under Reasoning Failure by. (April 1993), 1996.
• Michael Cox. Introspective Multistrategy Learning : Constructing a Learning Strategy under Reasoning Failure by. 1996.
• Michael T. Cox. An Empirical Study of Computational Introspection: Evaluating Introspective Multistrategy Learning in the Meta-{AQUA} System. Proceedings of the Third international Workshop on Multistrategy Learning (MSL-96), pages 135–146, 1996.
• Michael T. Cox. An explicit representation of reasoning failures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1266:211–222, 1997. (doi:10.1007/3-540-63233-6_493)
• Michael T. Cox. Loose coupling of failure explanation and repair: Using learning goals to sequence learning methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1266:425–434, 1997. (doi:10.1007/3-540-63233-6_512)
• Ashwin Ram. Modeling Multistrategy Learning as a Deliberative Process of Planning in Knowledge Space. 298, 1997.
• Philomena Y Lee and Michael T Cox. Dimensional indexing for targeted case-base retrieval : The SMIRKS system. pages 62–66, 2002.
• Michael T. Cox. Metacognition in computation: A selected research review. Artificial Intelligence, 169(2):104–141, 2005. (doi:10.1016/j.artint.2005.10.009)
• Mark Burstein, Marshall Brinn, and Mike Cox. An architecture and language for the integrated learning of demonstrations. … via Demonstration, pages 6–11, 2007.
• Michael T. Cox. Perpetual Self-Aware Cognitive Agents. AI Magazine, 28(1):32, 2007. (doi:10.1609/AIMAG.V28I1.2027)
• Andrew S Gordon, Jerry R Hobbs, and Michael T Cox. Anthropomorphic Self-Models for Metareasoning Agents. Metareasoning: Thinking about thinking, (Chapter 1), 2011.
• Andrew S Gordon, Jerry R Hobbs, and Michael T Cox. Anthropomorphic Self-Models for Metareasoning Agents. Metareasoning: Thinking about thinking, pages 129–135, 2011.