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ORCIDMichael T. Cox
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- Cainan Allen-Michael Cox
- Michael Cox
- Michael A. A. Cox
- Stuart Michael Cox (aka: Stuart Cox) — Imperial College, London, UK
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2020 – today
- 2022
[i3]Sravya Kondrakunta, Venkatsampath Raja Gogineni, Michael T. Cox, Demetris Coleman, Xiaobao Tan, Tony X. Lin, Mengxue Hou, Fumin Zhang, Frank McQuarrie, Catherine R. Edwards:
The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy. CoRR abs/2201.08883 (2022)- [i2]Michael T. Cox, Zahiduddin Mohammad, Sravya Kondrakunta, Ventaksamapth Raja Gogineni, Dustin Dannenhauer, Othalia Larue:
Computational Metacognition. CoRR abs/2201.12885 (2022) - [i1]Weihang Yuan, Hector Muñoz-Avila, Venkatsampath Raja Gogineni, Sravya Kondrakunta, Michael T. Cox, Lifang He:
Task Modifiers for HTN Planning and Acting. CoRR abs/2202.04611 (2022) - 2021
- [j18]Dustin Dannenhauer, Héctor Muñoz-Avila, Michael T. Cox:
Expectations for agents with goal-driven autonomy. J. Exp. Theor. Artif. Intell. 33(5): 867-889 (2021) - 2020
- [c43]Venkatsampath Raja Gogineni, Sravya Kondrakunta, Matthew Molineaux, Michael T. Cox:
Case-Based Explanations and Goal Specific Resource Estimations. FLAIRS 2020: 407-412
2010 – 2019
- 2019
- [c42]Venkatsampath Raja Gogineni, Sravya Kondrakunta, Danielle Brown, Matthew Molineaux, Michael T. Cox:
Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain. ICCBR 2019: 110-124 - 2018
- [j17]Zohreh A. Dannenhauer, Michael T. Cox:
Rationale-based perceptual monitors. AI Commun. 31(2): 197-212 (2018) - [c41]Vahid B. Eyorokon, Pratyusha Yalamanchili, Michael T. Cox
:
Tangent Recognition and Anomaly Pruning to TRAP Off-Topic Questions in Conversational Case-Based Dialogues. ICCBR 2018: 95-109 - [e2]Michael T. Cox, Peter Funk, Shahina Begum:
Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, Stockholm, Sweden, July 9-12, 2018, Proceedings. Lecture Notes in Computer Science 11156, Springer 2018, ISBN 978-3-030-01080-5 [contents] - 2017
- [c40]Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta:
Goal Operations for Cognitive Systems. AAAI 2017: 4385-4391 - [c39]Zohreh A. Dannenhauer, Michael T. Cox:
Rationale-Based Visual Planning Monitors for Cognitive Systems. FLAIRS 2017: 182-185 - [c38]Vahid Badou Gustave Eyorokon, Uday S. Panjala, Michael T. Cox:
Case-Based Goal Trajectories for Knowledge Investigations. FLAIRS 2017: 477-482 - 2016
- [c37]Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muñoz-Avila, Don Perlis:
MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy. AAAI 2016: 3712-3718 - [c36]Vahid B. Eyorokon, Benjamin Bengfort, Uday S. Panjala, Michael T. Cox:
Goal Trajectories for Knowledge Investigations. ICCBR Workshops 2016: 202-211 - [c35]Dustin Dannenhauer, Hector Muñoz-Avila, Michael T. Cox:
Informed Expectations to Guide GDA Agents in Partially Observable Environments. IJCAI 2016: 2493-2499 - 2014
- [c34]Justin Brody, Michael T. Cox, Donald Perlis:
Incorporating Elements of a Processual Self into Active Logic. AAAI Spring Symposia 2014 - [c33]Dustin Dannenhauer, Michael T. Cox, Shubham Gupta, Matthew Paisner, Donald Perlis:
Toward Meta-level Control of Autonomous Agents. BICA 2014: 226-232 - [c32]Matthew Paisner, Michael T. Cox, Michael Maynord, Don Perlis:
Goal-Driven Autonomy for Cognitive Systems. CogSci 2014 - 2013
- [c31]Michael Maynord, Michael T. Cox, Matthew Paisner, Don Perlis:
Data-Driven Goal Generation for Integrated Cognitive Systems. AAAI Fall Symposia 2013 - [c30]Matthew Paisner, Michael T. Cox, Don Perlis:
Symbolic Anomaly Detection and Assessment Using Growing Neural Gas. ICTAI 2013: 175-181 - [c29]Tongchun Du, Michael T. Cox, Don Perlis, Jared Shamwell, Tim Oates:
From Robots to Reinforcement Learning. ICTAI 2013: 540-545 - 2012
- [c28]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 - [c27]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 - 2011
- [c26]Michael T. Cox, Tim Oates, Donald Perlis:
Toward an Integrated Metacognitive Architecture. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [p3]Michael T. Cox, Anita Raja:
Metareasoning: An Introduction. Metareasoning 2011: 3-14 - [p2]Michael T. Cox:
Metareasoning, Monitoring, and Self-Explanation. Metareasoning 2011: 131-150 - [p1]Andrew S. Gordon, Jerry R. Hobbs, Michael T. Cox:
Anthropomorphic Self-Models for Metareasoning Agents. Metareasoning 2011: 295-306 - [e1]Michael T. Cox, Anita Raja:
Metareasoning - Thinking about Thinking. MIT Press 2011, ISBN 978-0-262-01480-9 [contents]
2000 – 2009
- 2009
- [j16]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, Rong Zhou:
AAAI 2008 Workshop Reports. AI Mag. 30(1): 108-118 (2009) - 2008
- [j15]Héctor Muñoz-Avila, Michael T. Cox:
Case-Based Plan Adaptation: An Analysis and Review. IEEE Intell. Syst. 23(4): 75-81 (2008) - [j14]Michael T. Cox, Mark H. Burstein:
Case-based Explanations. Künstliche Intell. 22(2): 35-37 (2008) - [c25]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 - 2007
- [j13]Michael T. Cox:
Perpetual Self-Aware Cognitive Agents. AI Mag. 28(1): 32-46 (2007) - [j12]Gheorghe Tecuci, Mihai Boicu, Michael T. Cox:
Seven Aspects of Mixed-Initiative Reasoning: An Introduction to this Special Issue on Mixed-Initiative Assistants. AI Mag. 28(2): 11-12 (2007) - [j11]Michael T. Cox, Chen Zhang:
Mixed-Initiative Goal Manipulation. AI Mag. 28(2): 62-74 (2007) - [c24]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 - 2006
- [j10]Eugene Santos, Scott A. DeLoach, Michael T. Cox:
Achieving dynamic, multi-commander, multi-mission planning and execution. Appl. Intell. 25(3): 335-357 (2006) - [j9]Michael T. Cox, Boris Kerkez:
Case-Based Plan Recognition with Novel input. Control. Intell. Syst. 34(2) (2006) - 2005
- [j8]Michael T. Cox:
Metacognition in computation: A selected research review. Artif. Intell. 169(2): 104-141 (2005) - [j7]Ramón 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. Knowl. Eng. Rev. 20(3): 215-240 (2005) - [j6]Michael T. Cox, Héctor Muñoz-Avila, Ralph Bergmann:
Case-based planning. Knowl. Eng. Rev. 20(3): 283-287 (2005) - [j5]Janet L. Kolodner, Michael T. Cox, Pedro A. González-Calero:
Case-based reasoning-inspired approaches to education. Knowl. Eng. Rev. 20(3): 299-303 (2005) - [c23]Michael T. Cox, Chen Zhang:
Planning as Mixed-Initiative Goal Manipulation. ICAPS 2005: 282-291 - [c22]Michelle Cheatham, Michael T. Cox:
AI workflow management in a collaborative environment. CTS 2005: 160-166 - [c21]Michael T. Cox:
Metacognition in computation: A selected history. AAAI Spring Symposium: Metacognition in Computation 2005: 1-17 - [c20]Michael T. Cox:
Perpetual self-aware cognitive agents. AAAI Spring Symposium: Metacognition in Computation 2005: 42-48 - 2004
- [c19]Michael T. Cox:
Mixed-Initiative Case Replay. FLAIRS 2004: 166-171 - [c18]Kevin Cleereman, Michael T. Cox:
Pathological Dependency Cycles in State-space Lpanning: When Control Rules Fail. FLAIRS 2004: 757-763 - [c17]Adam C. Langdon, Michael T. Cox:
The Effect of Agent Topologies on Multiagent Planning Performance. MAICS 2004: 125-129 - [c16]Kevin Cleereman, Michael T. Cox:
Linear Inequality Control Rules in State-Space Planning: Beyond the first order predicate calculus. MAICS 2004: 148-153 - 2003
- [j4]Boris Kerkez, Michael T. Cox:
Incremental case-based plan recognition with local predictions. Int. J. Artif. Intell. Tools 12(4): 413-463 (2003) - [c15]Boris Kerkez, Michael T. Cox:
Alternate Strategies for Retrieval in State-Spaces. FLAIRS 2003: 119-123 - [c14]Michael T. Cox, Mohammad M. Elahi, Kevin Cleereman:
A Distributed Planning Approach Using Multiagent Goal Transformations. MAICS 2003: 18-23 - 2002
- [c13]Boris Kerkez, Michael T. Cox:
Local Predictions for Case-Based Plan Recognition. ECCBR 2002: 189-203 - [c12]Philomena Y. Lee, Michael T. Cox:
Dimensional Indexing for Targeted Case-Base Retrieval: The SMIRKS System. FLAIRS 2002: 62-66 - 2001
- [c11]Boris Kerkez, Michael T. Cox:
Incremental Case-Based Plan Recognition Using State Indices. ICCBR 2001: 291-305 - [c10]Gifty Edwin, Michael T. Cox:
Resource Coordination in Single Agent and Multiagent Systems. ICTAI 2001: 18-24 - 2000
- [j3]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 Mag. 21(1): 95-100 (2000)
1990 – 1999
- 1999
- [j2]Michael T. Cox, Ashwin Ram:
Introspective Multistrategy Learning: On the Construction of Learning Strategies. Artif. Intell. 112(1-2): 1-55 (1999) - 1998
- [c9]Manuela M. Veloso, Martha E. Pollack, Michael T. Cox:
Rationale-Based Monitoring for Planning in Dynamic Environments. AIPS 1998: 171-180 - 1997
- [c8]Manuela M. Veloso, Alice M. Mulvehill, Michael T. Cox:
Rationale-Supported Mixed-Initiative Case-Based Planning. AAAI/IAAI 1997: 1072-1077 - [c7]Michael T. Cox, Manuela M. Veloso:
Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting. EPIA 1997: 309-318 - [c6]Michael T. Cox:
An Explicit Representation of Reasoning Failures. ICCBR 1997: 211-222 - [c5]Michael T. Cox:
Loose Coupling of Failure Explanarion and Repair: Using Learning Goals to Sequence Learning Models. ICCBR 1997: 425-434 - [c4]Michael T. Cox, Manuela M. Veloso:
Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning. ICCBR 1997: 531-540 - 1995
- [j1]Ashwin Ram, S. Narayanan, Michael T. Cox:
Learning to Troubleshoot: Multistrategy Learning of Diagnostic Knowledge for a Real-World Problem-Solving Task. Cogn. Sci. 19(3): 289-340 (1995) - 1994
- [c3]Michael T. Cox:
Case-Based Introspection. AAAI 1994: 1435 - [c2]Michael T. Cox, Ashwin Ram:
Interacting Learning-Goals: Treating Learning as a Planning Task. EWCBR 1994: 60-74 - 1992
- [c1]Michael T. Cox, Ashwin Ram:
Multistrategy Learning with Introspective Meta-Explanations. ML 1992: 123-128
Coauthor Index
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