Michael T. Cox

Preeti Bhargava, Michael T. Cox, Tim Oates, Uran Oh, Matthew Paisner, Donald Perlis, Jared Shamwell: The robot baby and massive metacognition: Future vision. ICDL-EPIROB 2012: 1-2

Jared Shamwell, Tim Oates, Preeti Bhargava, Michael T. Cox, Uran Oh, Matthew Paisner, Donald Perlis: The robot baby and massive metacognition: Early steps via growing neural gas. ICDL-EPIROB 2012: 1-2

Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Ron Zhou: AAAI 2008 Workshop Reports. AI Magazine 30(1): 108-118 (2009)

Héctor Muñoz-Avila, Michael T. Cox: Case-Based Plan Adaptation: An Analysis and Review. IEEE Intelligent Systems 23(4): 75-81 (2008)

Michael T. Cox, Mark H. Burstein: Case-based Explanations. KI 22(2): 35-37 (2008)

Mark H. Burstein, Robert Laddaga, David D. McDonald, Michael T. Cox, Brett Benyo, Paul Robertson, Talib S. Hussain, Marshall Brinn, Drew V. McDermott: POIROT - Integrated Learning of Web Service Procedures. AAAI 2008: 1274-1279

Michael T. Cox: Perpetual Self-Aware Cognitive Agents. AI Magazine 28(1): 32-46 (2007)

Gheorghe Tecuci, Mihai Boicu, Michael T. Cox: Seven Aspects of Mixed-Initiative Reasoning: An Introduction to this Special Issue on Mixed-Initiative Assistants. AI Magazine 28(2): 11-12 (2007)

Michael T. Cox, Chen Zhang: Mixed-Initiative Goal Manipulation. AI Magazine 28(2): 62-74 (2007)

Alice M. Mulvehill, Brett Benyo, Michael T. Cox, Renu Kurien Bostwick: Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation during Anomalous Plan Execution. IJCAI 2007: 489-494

Eugene Santos, Scott A. DeLoach, Michael T. Cox: Achieving dynamic, multi-commander, multi-mission planning and execution. Appl. Intell. 25(3): 335-357 (2006)

Michael T. Cox: Metacognition in computation: A selected research review. Artif. Intell. 169(2): 104-141 (2005)

Ramon López de Mántaras, David McSherry, Derek G. Bridge, David B. Leake, Barry Smyth, Susan Craw, Boi Faltings, Mary Lou Maher, Michael T. Cox, Kenneth D. Forbus, Mark T. Keane, Agnar Aamodt, Ian D. Watson: Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Eng. Review 20(3): 215-240 (2005)

Michael T. Cox, Héctor Muñoz-Avila, Ralph Bergmann: Case-based planning. Knowledge Eng. Review 20(3): 283-287 (2005)

Janet L. Kolodner, Michael T. Cox, Pedro A. González-Calero: Case-based reasoning-inspired approaches to education. Knowledge Eng. Review 20(3): 299-303 (2005)

Michael T. Cox, Chen Zhang: Planning as Mixed-Initiative Goal Manipulation. ICAPS 2005: 282-291

Michelle Cheatham, Michael T. Cox: AI workflow management in a collaborative environment. CTS 2005: 160-166

Michael T. Cox: Metacognition in computation: A selected history. AAAI Spring Symposium: Metacognition in Computation 2005: 1-17

Michael T. Cox: Perpetual self-aware cognitive agents. AAAI Spring Symposium: Metacognition in Computation 2005: 42-48

Michael T. Cox: Mixed-Initiative Case Replay. FLAIRS Conference 2004: 166-171

Kevin Cleereman, Michael T. Cox: Pathological Dependency Cycles in State-space Lpanning: When Control Rules Fail. FLAIRS Conference 2004: 757-763

Adam C. Langdon, Michael T. Cox: The Effect of Agent Topologies on Multiagent Planning Performance. MAICS 2004: 125-129

Kevin Cleereman, Michael T. Cox: Linear Inequality Control Rules in State-Space Planning: Beyond the first order predicate calculus. MAICS 2004: 148-153

Boris Kerkez, Michael T. Cox: Incremental case-based plan recognition with local predictions. International Journal on Artificial Intelligence Tools 12(4): 413-463 (2003)

Boris Kerkez, Michael T. Cox: Alternate Strategies for Retrieval in State-Spaces. FLAIRS Conference 2003: 119-123

Michael T. Cox, Mohammad M. Elahi, Kevin Cleereman: A Distributed Planning Approach Using Multiagent Goal Transformations. MAICS 2003: 18-23

Boris Kerkez, Michael T. Cox: Local Predictions for Case-Based Plan Recognition. ECCBR 2002: 189-203

Philomena Y. Lee, Michael T. Cox: Dimensional Indexing for Targeted Case-Base Retrieval: The SMIRKS System. FLAIRS Conference 2002: 62-66

Boris Kerkez, Michael T. Cox: Incremental Case-Based Plan Recognition Using State Indices. ICCBR 2001: 291-305

Gifty Edwin, Michael T. Cox: Resource Coordination in Single Agent and Multiagent Systems. ICTAI 2001: 18-24

Brian Drabble, Laurent Chaudron, Catherine Tessier, Sue Abu-Hakima, Steven Willmott, Jim Austin, Boi Faltings, Eugene C. Freuder, Gerhard Friedrich, Alex Alves Freitas, Ulises Cortés, Miquel Sànchez-Marrè, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner: Reports on the AAAI 1999 Workshop Program. AI Magazine 21(1): 95-100 (2000)

Michael T. Cox, Ashwin Ram: Introspective Multistrategy Learning: On the Construction of Learning Strategies. Artif. Intell. 112(1-2): 1-55 (1999)

Manuela M. Veloso, Martha E. Pollack, Michael T. Cox: Rationale-Based Monitoring for Planning in Dynamic Environments. AIPS 1998: 171-180

Manuela M. Veloso, Alice M. Mulvehill, Michael T. Cox: Rationale-Supported Mixed-Initiative Case-Based Planning. AAAI/IAAI 1997: 1072-1077

Michael T. Cox, Manuela M. Veloso: Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting. EPIA 1997: 309-318

Michael T. Cox: An Explicit Representation of Reasoning Failures. ICCBR 1997: 211-222

Michael T. Cox: Loose Coupling of Failure Explanarion and Repair: Using Learning Goals to Sequence Learning Models. ICCBR 1997: 425-434

Michael T. Cox, Manuela M. Veloso: Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning. ICCBR 1997: 531-540

Ashwin Ram, S. Narayanan, Michael T. Cox: Learning to Troubleshoot: Multistrategy Learning of Diagnostic Knowledge for a Real-World Problem-Solving Task. Cognitive Science 19(3): 289-340 (1995)

Michael T. Cox: Case-Based Introspection. AAAI 1994: 1435

Michael T. Cox, Ashwin Ram: Interacting Learning-Goals: Treating Learning as a Planning Task. EWCBR 1994: 60-74

Michael T. Cox, Ashwin Ram: Multistrategy Learning with Introspective Meta-Explanations. ML 1992: 123-128