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Michael T. Cox
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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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