| 2020 | FlAIRS | Case-Based Explanations and Goal Specific Resource Estimations. | Venkatsampath Raja Gogineni, Sravya Kondrakunta, Matthew Molineaux, Michael T. Cox |
| 2019 | ICCBR | Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain. | Venkatsampath Raja Gogineni, Sravya Kondrakunta, Danielle Brown, Matthew Molineaux, Michael T. Cox |
| 2018 | ICCBR | Tangent Recognition and Anomaly Pruning to TRAP Off-Topic Questions in Conversational Case-Based Dialogues. | Vahid B. Eyorokon, Pratyusha Yalamanchili, Michael T. Cox |
| 2017 | AAAI | Goal Operations for Cognitive Systems. | Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta |
| 2017 | FlAIRS | Rationale-Based Visual Planning Monitors for Cognitive Systems. | Zohreh A. Dannenhauer, Michael T. Cox |
| 2017 | FlAIRS | Case-Based Goal Trajectories for Knowledge Investigations. | Vahid Badou Gustave Eyorokon, Uday S. Panjala, Michael T. Cox |
| 2016 | AAAI | MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy. | Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muoz-Avila, Don Perlis |
| 2016 | ICCBR | Goal Trajectories for Knowledge Investigations. | Vahid B. Eyorokon, Benjamin Bengfort, Uday S. Panjala, Michael T. Cox |
| 2016 | IJCAI | Informed Expectations to Guide GDA Agents in Partially Observable Environments. | Dustin Dannenhauer, Hector Muoz-Avila, Michael T. Cox |
| 2014 | CogSci | Goal-Driven Autonomy for Cognitive Systems. | Matthew Paisner, Michael T. Cox, Michael Maynord, Don Perlis |
| 2013 | ICTAI | From Robots to Reinforcement Learning. | Tongchun Du, Michael T. Cox, Don Perlis, Jared Shamwell, Tim Oates |
| 2013 | ICTAI | Symbolic Anomaly Detection and Assessment Using Growing Neural Gas. | Matthew Paisner, Michael T. Cox, Don Perlis |
| 2008 | AAAI | POIROT - Integrated Learning of Web Service Procedures. | Mark H. Burstein, Robert Laddaga, David D. McDonald, Michael T. Cox, Brett Benyo, Paul Robertson, Talib S. Hussain, Marshall Brinn, Drew V. McDermott |
| 2007 | IJCAI | Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation during Anomalous Plan Execution. | Alice M. Mulvehill, Brett Benyo, Michael T. Cox, Renu Kurien Bostwick |
| 2004 | FlAIRS | Pathological Dependency Cycles in State-space Lpanning: When Control Rules Fail. | Kevin Cleereman, Michael T. Cox |
| 2004 | FlAIRS | Mixed-Initiative Case Replay. | Michael T. Cox |
| 2003 | FlAIRS | Alternate Strategies for Retrieval in State-Spaces. | Boris Kerkez, Michael T. Cox |
| 2002 | FlAIRS | Dimensional Indexing for Targeted Case-Base Retrieval: The SMIRKS System. | Philomena Y. Lee, Michael T. Cox |
| 2001 | ICCBR | Incremental Case-Based Plan Recognition Using State Indices. | Boris Kerkez, Michael T. Cox |
| 2001 | ICTAI | Resource Coordination in Single Agent and Multiagent Systems. | Gifty Edwin, Michael T. Cox |
| 1997 | AAAI | Rationale-Supported Mixed-Initiative Case-Based Planning. | Manuela M. Veloso, Alice M. Mulvehill, Michael T. Cox |
| 1997 | EPIA | Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting. | Michael T. Cox, Manuela M. Veloso |
| 1997 | ICCBR | An Explicit Representation of Reasoning Failures. | Michael T. Cox |
| 1997 | ICCBR | Loose Coupling of Failure Explanarion and Repair: Using Learning Goals to Sequence Learning Models. | Michael T. Cox |
| 1997 | ICCBR | Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning. | Michael T. Cox, Manuela M. Veloso |
| 1994 | AAAI | Case-Based Introspection. | Michael T. Cox |
| 1992 | ICML | Multistrategy Learning with Introspective Meta-Explanations. | Michael T. Cox, Ashwin Ram |