Full Publications
Journals and Magazines
2020
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Dannenhauer, D., Munoz-Avila, H., & Cox, M. T. (2020).
Expectations for agents with goal-driven autonomy.
Journal of Experimental and Theoretical Artificial Intelligence.
2018
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Dannenhauer, D., Cox, M. T., & Munoz-Avila, H. (2018). Declarative metacognitive expectations for high-level cognition. Advances in Cognitive Systems, 6, 231-250.
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Dannenhauer, Z. A., & Cox, M. T. (2018). Rationale-based perceptual monitors. AI Communications, 31 (2), 197-212.
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Roberts, M., Borrajo, D., Cox, M. T., & Yorke-Smith, N. (Eds.) (2018).
Special issue on goal reasoning. AI Communications, 31(2), 115-116.
2017
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Cox, M. T. (2017). A model of planning, action, and interpretation with goal reasoning. Advances in Cognitive Systems, 5, 57-76.
2015
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Caro, M. F., Josyula, D. P., Jimenez, J. A., Kennedy, C. M., & Cox. M. T. (2015). A domain-specific visual language for modeling metacognition in intelligent systems.
Biologically Inspired Cognitive Architectures 13, 75-90.
2014
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Caro, M. F., Josyula, D.P., Cox, M. T., & Jimenez, J. A. (2014). Design and validation of a metamodel for metacognition support in artificial intelligent systems.
Biologically Inspired Cognitive Architectures 9, 1-23.
2012
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Cox, M. T., Oates, T., Paisner, M., & Perlis, D. (2012).
Noting anomalies in streams of symbolic predicates using A-distance. Advances in Cognitive Systems 2, 167-184.
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2011
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Cox, M. T., & Perlis, D. (2011, November).
Self-adjusting autonomous systems. Awareness Magazine.
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2009
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Anand, S., Bunescu, R., Carvalho, V., Chomicki, J., Conitzer, V., Cox, M. T., Dignum, V., Dodds, Z., Dredze, M., Furcy, D., Gabrilovich, E., Goker, M., Guesgen, H.,
Hirsh, H., Jannach, D., Junker, U., Ketter, W., Kobsa, A., Koenig, S., Lau, T., Lewis, L., Matson, E., Metzler, T., Mihalcea, R., Mobasher, B., Pineau, J., Poupart, P., Raja, A., Ruml, W.,
Sadeh, N., Shani, G., Shapiro, D., Smith, T., Taylor, M., Wagstaff, K., Walsh, W., & Zhou, R. (2009). AAAI 2008 workshop reports. AI Magazine 30(1), 108-118.
2008 and Earlier
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Cox, M. T. (2007).
Perpetual self-aware cognitive agents. AI Magazine 28(1), 32-45.
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Cox, M. T. (2005).
Metacognition in computation: A selected research review. Artificial Intelligence. 169(2), 104-141.
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Cox, M. T., & Burstein, M. H. (2008). Case-based explanations and the integrated learning of demonstrations. Künstliche Intelligenz (Artificial Intelligence) 22(2), 35-38.
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Cox, M. T., & Kerkez, B. (2006).
Case-based plan recognition with novel input. International Journal of Control and Intelligent Systems. 24(2), 96-104.
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Cox, M. T., Munoz-Avila, H., & Bergmann, R. (2006).
Case-based planning. Knowledge Engineering Review. 20(3), 283-287.
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Cox, M. T., & Ram, A. (1999).
Introspective multistrategy learning: On the construction of learning strategies. Artificial Intelligence. 112 1-55.
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Cox, M. T., & Zhang, C. (2007).
Mixed-initiative goal manipulation. AI Magazine 28(2), 62-73.
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Drabble, B., Chaudron, L., Tessier, C., Abu-Hakima, S., Willmott, S., Austin, J., Faltings, B., Freuder, E. C., Friedrich, G., Freitas, A. A., Cortes, U.,
Sanchez-Marre, M., Aha, D. W., Becerra-Fernandez, I., Munoz-Avila, H., Ghose, A., Menzies, T., Satoh, K., Califf, E., Cox, M. T., Sen, S., Brezillon, P., Pomerol,
J.-C., Turner, R., & Turner, E. M. (2000). Reports on the AAAI 1999 Workshop Program. AI Magazine 21(1), 95-100.
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Freed, M. and Cox, M. (1995). Representing mental states and mechanisms. AI Magazine, 16(3), 10.
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Kerkez, B., & Cox, M. T. (2003).
Incremental case-based plan recognition with local predictions. International Journal on Artificial Intelligence Tools: Architectures,
languages, algorithms. 12(4), 413-464.
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Kolodner, J. L., Cox, M. T., & Gonzales, P. (2006).
Case-based reasoning-inspired approaches to education. Knowledge Engineering Review. 20(3), 299-303.
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de Mántaras, R. L., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M. L., Cox, M. T., Forbus, K., Keane, M., Aamodt, A., & Watson, I. (2006).
Retrieval, reuse, revision, and retention in case-based reasoning. Knowledge Engineering Review. 20(3), 215-240.
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Munoz-Avila, H., & Cox, M. T. (2008). Case-based plan adaptation: An analysis and review.
IEEE Intelligent Systems 23(4), 75-81.
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Ram, A., Narayanan, S., & Cox, M. T. (1995). Learning to trouble-shoot: Multistrategy learning of diagnostic knowledge for a real-world problem solving task.
Cognitive Science, 19(3), 289-340.
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Santos, E., Deloach, S., & Cox, M. T. (2006). Achieving dynamic multi-commander, multi-mission planning and execution. Applied Intelligence 25(3), 335-357.
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Tecuci, G., Boicu, M., & Cox, M. T. (2007). Seven aspects of mixed-initiative reasoning: An introduction to the special issue on mixed-initiative assistants.
AI Magazine 28(2), 11-18.
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PhD and Masters Theses
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Cox, M. T. (1996).
Introspective multistrategy learning: Constructing a learning strategy under reasoning failure
(Tech. Rep. No. GIT-CC-96-06). Doctoral dissertation, Georgia Institute of Technology, College of Computing, Atlanta.
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Dannenhauer, Z. (2019)
Anticipation In Dynamic Environments: Deciding What To Monitor
Doctoral dissertation, Wright State University, College of Engineering and Computer Science, Dayton.
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Eyorokon, V. (2018) .
Measuring goal similarity using concept, context and Task Features.
Masters thesis, Wright State University, College of Engineering and Computer Science, Dayton.
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Kondrakunta, S. (2017).
Implementation and Evaluation of Goal Selection in a Cognitive Architecture.
Masters thesis, Wright State University, College of Engineering and Computer Science, Dayton.
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Molineaux, M. (2017). Understanding What May Have Happened in Dynamic, Partially Observable Environments.
Doctoral dissertation, George Mason University, Department of Computer Science, Fairfax.
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Books and Book Chapters
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Cox, M. T. (2011).
Metareasoning, monitoring, and self-explanation. In M. T. Cox & A. Raja (Eds.) Metareasoning: Thinking about thinking (pp. 131-149). Cambridge, MA: MIT Press.
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Cox, M. T., & Raja, A. (2011a).
Metareasoning: An introduction. In M. T. Cox & A. Raja (Eds.) Metareasoning: Thinking about thinking (pp. 3-14). Cambridge, MA: MIT Press.
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Cox, M. T., & Raja, A. (Eds.) (2011b).
Metareasoning: Thinking about thinking. Cambridge, MA: MIT Press.
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Cox, M. T., & Ram, A. (1999). On the intersection of story understanding and learning. In A. Ram & K. Moorman (Eds.), Understanding language understanding: Computational
models of reading (pp. 397-434). Cambridge, MA: MIT Press/Bradford Books.
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Gordon, A. S., Hobbs, J. R., & Cox, M. T. (2011). Anthropomorphic self-models for metareasoning agents. In M. T. Cox & A. Raja (Eds.) Metareasoning: Thinking about thinking (pp. 295-305).
Cambridge, MA: MIT Press.
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Ram, A., Cox, M. T., & Narayanan, S. (1995). Goal-driven learning in multistrategy reasoning and learning systems. In A. Ram & D. Leake (Eds.),
Goal-driven learning (pp. 421-437). Cambridge, MA: The MIT Press/Bradford Books.
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Ram, A., & Cox, M. T. (1994). Introspective reasoning using meta-explanations for multistrategy learning. In R. S. Michalski & G. Tecuci (Eds.),
Machine learning: A multistrategy approach IV(pp. 349-377). San Francisco: Morgan Kaufmann.
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Conferences, Workshops, and Symposia
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2021
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Cox, M. T., Mohammad, Z., Kondrakunta, S., Gogineni, V. R., Dannenhauer, D. & Larue, O. (2021).
Computational metacognition. In Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems. Palo Alto, CA: Cognitive Systems Foundation. arXiv:2201.12885
2020
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Cox, M. T. (2020).
The Problem with Problems.
In Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems. Palo Alto, CA: Cognitive Systems Foundation.
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Gotteti, S., Molineaux, M., & Cox, M. T. (2020).
Towards Goal Inference for Human-Robot Collaboration.
In Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems. Palo Alto, CA: Cognitive Systems Foundation.
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Larue, O., Juvina, I., Cox, M. T., Molineaux, M., Howard, B., Nichols, E., & Minnery, B. (2020).
Coordination in Homogeneous and Heterogeneous Teams.
In Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems. Palo Alto, CA: Cognitive Systems Foundation.
2019
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Caro, M., Madera, D., Cox, M. T., Sun, R., Josyula, D., Kennedy, C., & Ackerman, R. (2019).
The double metareasoning cycle in the CARINA cognitive architecture.
In M. T. Cox (Ed.), Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems (pp. 518-536). Tech. Rep. No. COLAB2-TR-4. Dayton, OH: Wright State University, Collaboration and Cognition Laboratory.
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Cox, M. T. (2019).
The problem with problems.
In Proceedings of the Seventh Goal Reasoning Workshop. Cambridge, MA, ACS 2019.
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Dannenhauer, Z. A., Molineaux, M., & Cox, M. T. (2019).
Explanation-based goal monitors for autonomous agents.
In Proceedings of the Seventh Goal Reasoning Workshop. Cambridge, MA, ACS 2019.
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Gogineni, V. R., Kondrakunta, S., Brown, D., Molineaux, M., & Cox, M. T. (2019).
Probabilistic selection of case-based explanations in an underwater mine clearance domain. In K. Bach & C. Marling (Eds.), Case-Based Reasoning Research and Development:
Proceedings of the 27th International Conference (pp.110-124). Berlin: Springer.
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Gogineni, V. R., Kondrakunta, S., Molineaux, M., & Cox, M. T. (in press). Case-based explanations and goal specific resource estimations. In M. Cox, P. Funk, & S. Begum (Eds.), Case-Based Reasoning Research and Development: Proceedings of the 26th International Conference (pp.213-228). Berlin: Springer.
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Kondrakunta, S., Gogineni, V. R., Brown, D., Molineaux, M., & Cox, M. T. (2019). Problem recognition, explanation and goal formulation. In M. T. Cox (Ed.), Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems (pp. 437-452). Tech. Rep. No. COLAB2-TR-4. Dayton, OH: Wright State University, Collaboration and Cognition Laboratory.
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Larue, O., Juvina, I., Molineaux, M., Howard, B., Nichols, E., Minnery B., & Cox, M. T. (2019).
Team coordination in homogeneous and heterogeneous teams. In Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS).
2018
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Cox, M. T., Funk, P., & Begum, S. (Eds.) (2018). Case-Based Reasoning Research and Development: Proceedings of the 26th International Conference. Berlin: Springer.
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Dannenhauer, D., Cox, M. T., & Munoz-Avila, H. (2018).
Declarative metacognitive expectations for high-level cognition.
In Proceedings of the Sixth Annual Conference on Advances in Cognitive Systems (pp. 1-20). Palo Alto, CA: Cognitive Systems Foundation.
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Eyorokon, V., Gogineni, V., Yalamanchili, P., & Cox, M. T. (2018). Case retrieval using goal similarity for knowledge investigations. In Proceedings of the Sixth Annual Conference on Advances in Cognitive Systems, Poster Collection (pp. 1-15). Palo Alto, CA: Cognitive Systems Foundation.
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Eyorokon, V., Yalamanchili, P., & Cox, M. T. (2018). Tangent recognition and anomaly pruning to trap off-topic questions in conversational case-based dialogues. In M. Cox, P. Funk, & S. Begum (Eds.), Case-Based Reasoning Research and Development: Proceedings of the 26th International Conference (pp.213-228). Berlin: Springer.
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Gogineni, V., Kondrakunta, S., Molineaux, M., & Cox, M. T. (2018).
Application of case-based explanations to formulate goals in an unpredictable mine clearance domain. In M. Minor (Ed.),
26th International Conference on Case-Based Reasoning: Workshop Proceedings - Case-based Reasoning for the Explanation of Intelligent Systems (pp. 42-51). ICCBR-18.
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Kondrakunta, S., Gogineni, V. R., Molineaux, M., Munoz-Avila, H., Oxenham, M., & Cox, M. T. (2018).
Toward problem recognition, explanation and goal formulation. In
Working Notes of the 2018 IJCAI Goal Reasoning Workshop. IJCAI.
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Siler, J. C., & Cox, M. T. (2018).
Generating plans for qualitative goal preferences. In
Working Notes of the 2018 IJCAI Goal Reasoning Workshop. IJCAI.
2017
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Cox, M. T., Dannenhauer, D., & Kondrakunta, S. (2017).
Goal operations for cognitive systems. In Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence (pp. 4385-4391). Palo Alto, CA: AAAI Press.
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Cox, M. T., & Dannenhauer, Z. A. (2017).
Perceptual goal monitors for cognitive agents in changing environments. In Proceedings of the Fifth Annual Conference on Advances in Cognitive Systems, Poster Collection. (pp. 1-16). Palo Alto, CA: Cognitive Systems Foundation.
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Dannenhauer, Z. A., & Cox, M. T. (2017).
Rationale-based visual planning monitors for cognitive systems.
In V. Rus & Z. Markov (Eds.), Proceedings of the 30th International FLAIRS Conference (pp. 182-185). Palo Alto, CA: AAAI Press.
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Eyorokon, V., Panjala, U., & Cox, M. T. (2017).
Case-based goal trajectories for knowledge investigations. In V. Rus & Z. Markov (Eds.), Proceedings of the 30th International FLAIRS Conference. (pp. 477-482). Palo Alto, CA: AAAI Press.
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Kondrakunta, S., & Cox, M. T. (2017).
Autonomous goal selection operations for agent-based architectures. In
Working Notes of the 2017 IJCAI Goal Reasoning Workshop. IJCAI.
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Panjala, U., Eyorokon, V., & Cox, M. T. (2017). A mixed-initiative approach for knowledge discovery. In A. R. Bryant, J. R. Lopez, Jr., & R. F. Mills (Eds.), Proceedings of the 12th International
Conference on Cyber Warfare and Security - ICCWS 2017 (pp. 533-536). Sonning Common, UK: Academic Conferences and Publishing International.
2016
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Alavi, Z., & Cox, M. T. (2016).
Rationale-based visual planning monitors.
In Proceedings of the 4th Workshop on Goal Reasoning. New York, IJCAI-16.
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Cox, M. T. (2016).
A model of planning, action, and interpretation with goal reasoning.
In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems 2016 (pp. 48-63). Palo Alto, CA: Cognitive Systems Foundation.
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Cox, M. T., Alavi, Z., Dannenhauer, D., Eyorokon, V., Munoz-Avila, H., & Perlis, D. (2016).
MIDCA: A metacognitive, integrated dual cycle architecture for self regulated autonomy.
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Vol. 5 (pp. 3712-3718). Palo Alto, CA: AAAI Press.
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Cox, M. T., & Dannenhauer, D. (2016).
Goal transformation and goal reasoning.
In Proceedings of the 4th Workshop on Goal Reasoning. New York, IJCAI-16.
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Dannenhauer, D., Munoz-Avila, H., & Cox, M. T. (2016).
Informed expectations to guide GDA agents in partially observable environments.
In S. Kambhampati (Ed.), Proceedings of the 25th International Joint Conference on Artificial Intelligence (pp. 2493-2499). Palo Alto, CA: AAAI Press / International Joint Conferences on Artificial Intelligence, Inc.
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Eyorokon, V., Bengfort, B., Panjala, U., & Cox, M. T. (2016).
Case-Based Goal Trajectories for Knowledge Investigations.
In A. Coman & S. Kapetanakis (Eds.), Twenty-Forth International Conference on Case-Based Reasoning Workshop Proceedings: Synergies between CBR and Knowledge Discovery (pp. 202-211). Atlanta, GA.
2015
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Bengfort, B., & Cox, M. T. (2015).
Interactive reasoning to solve knowledge goals.
In D. W. Aha (Ed.), Interactive Knowledge-Goal Reasoning (pp. 10-25).
Tech. Rep. No. GT-IRIM-CR-2015-001. Atlanta, GA: Georgia Institute of Technology, Institute for Robotics and Intelligent Machines.
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Cox, M. T. (2015). Toward a formal model of planning and action with goal reasoning. In D. W. Aha (Ed.),
Goal reasoning: Papers from the ACS workshop (pp. 37-51). Tech. Rep. No. GT-IRIM-CR-2015-001. Atlanta, GA: Georgia Institute of Technology, Institute for Robotics and Intelligent Machines.
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Munoz-Avila, H., Dannenhauer, D., & Cox, M. T. (2015). Towards cognition-level goal reasoning for playing real-time strategy games. In D. W. Aha (Ed.),
Goal reasoning: Papers from the ACS workshop (pp. 120-132). Tech. Rep. No. GT-IRIM-CR-2015-001. Atlanta, GA: Georgia Institute of Technology, Institute for Robotics and Intelligent Machines.
2014
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Brody, J., Cox, M. T., & Perlis, D. (2014). Incorporating elements of a processual self into active logic. In M. Waser (Ed.)
, Implementing Selves with Safe Motivational Systems and Self-Improvement: Papers from the 2014 Spring Symposium (pp. 2-6). Technical Report SS-14-03. Menlo Park, CA: AAAI Press.
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Dannenhauer, D., Cox, M. T., Gupta, S., Paisner, M., & Perlis, D. (2014).
Toward meta-level control of autonomous agents.
In Proceedings of the 2014 Annual International Conference on Biologically Inspired Cognitive Architectures: Fifth annual meeting of the BICA Society (pp. 121 -126).
Elsevier/Procedia Computer Science.
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Hand, E., Josyula, D., Paisner, M., McNany, E., Cox, M. T., & Perlis, D. (2014).
Two approaches to implementing metacognition.
In Proceedings of the Sixth International Conference on Advanced Cognitive Technologies and Applications (pp. 45-50). Red Hook, NY: Curran Associates.
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Paisner, M., Cox, M. T., Maynord, M., & Perlis, D. (2014).
Goal-driven autonomy for cognitive systems. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2085–2090). Austin, TX: Cognitive Science Society.
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Perlis, D., & Cox, M. T. (2014).
MetaMAc, or what do I do now? A strategic perspective on autonomy beyond anomalies and goals. In
Proceedings of the Tenth International Conference on Autonomic and Autonomous Systems (pp. 1-4). Red Hook, NY: Curran Associates.
2013
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Aha, D. W., Cox, M. T., & Munoz-Avila, H. (Eds.) (2013). Goal Reasoning: Papers from the ACS workshop (Tech. Rep. No. CS-TR-5029).
College Park, MD: University of Maryland, Department of Computer Science.
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Brody, J., Cox, M. T., & Perlis, D. (2013).
The processual self as cognitive unifier.
In Proceedings of the Annual Meeting of the International Association for Computing and Philosophy. IACAP-2013.
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Cox, M. T. (2013a).
Goal-driven autonomy and question-based problem recognition.
In Second Annual Conference on Advances in Cognitive Systems 2013, Poster Collection (pp. 29-45). Palo Alto, CA: Cognitive Systems Foundation.
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Cox, M. T. (2013b).
Question-based problem recognition and goal-driven autonomy. In D. W. Aha, M. T. Cox, & H. Munoz-Avila (Eds.),
Goal Reasoning: Papers from the ACS workshop (pp. 10-25). Tech. Rep. No. CS-TR-5029. College Park, MD: University of Maryland, Department of Computer Science.
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Cox, M. T., Maynord, M., Paisner, M., Perlis, D., & Oates, T. (2013).
The integration of cognitive and metacognitive processes with data-driven and knowledge-rich structures.
In Proceedings of the Annual Meeting of the International Association for Computing and Philosophy. IACAP-2013.
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Cox, M. T., Oates, T., Paisner, M., & Perlis, D. (2013).
Detecting change in diverse symbolic worlds. In L. Correia, L. P. Reis, L. M. Gomes, H. Guerra, & P. Cardoso (Eds.),
Advances in Artificial Intelligence, 16th Portuguese Conference on Artificial Intelligence (pp. 179-190). University of the Azores, Portugal: CMATI.
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Du, T., Cox, M. T., Perlis, D., Shamwell, J., & Oates, T. (2013). From robots to reinforcement learning.
In Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence (pp. 540-545). Los Alamitos, CA: IEEE Computer Society.
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Josyula, D., Robertson, P., & Cox, M. T. (Eds.) (2013).
Proceedings of the 2013 Annual Conference on Advances in Cognitive Systems: Workshop on metacognition about artificial situated agents (Tech. Rep. No. CS-TR-5030). College Park, MD:
University of Maryland, Department of Computer Science.
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Maynord, M., Cox, M. T., Paisner, M., & Perlis, D. (2013).
Data-driven goal generation for integrated cognitive systems. In C. Lebiere & P. S. Rosenbloom (Eds.),
Integrated Cognition: Papers from the 2013 Fall Symposium (pp. 47-54). Technical Report FS-13-03. Menlo Park, CA: AAAI Press.
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McNany, E., Josyula, D., Cox, M. T., Paisner, M., & Perlis, D. (2013). Metacognitive guidance in a dialog agent. In S. Shimizu & T. Bosomaier (Eds.),
Proceedings of the Fifth International Conference on Advanced Cognitive Technologies and Applications (pp. 137-140). Red Hook, NY: Curran Associates.
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Paisner, M., Maynord, M., Cox, M. T., & Perlis, D. (2013).
Goal-driven autonomy in dynamic environments. In D. W. Aha, M. T. Cox, & H. Munoz-Avila (Eds.),
Goal Reasoning: Papers from the ACS workshop (pp. 79-94). Tech. Rep. No. CS-TR-5029. College Park, MD: University of Maryland, Department of Computer Science.
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Paisner, M., Perlis, D., & Cox, M. T. (2013).
Symbolic anomaly detection and assessment using growing neural gas. In
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence (pp. 175-181). Los Alamitos, CA: IEEE Computer Society.
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Perlis, D., & Cox, M. T. (2013). Autonomy beyond anomalies and goals: A strategic perspective. In D. Josyula, P. Robertson, & M. T. Cox (Eds.),
Proceedings of the 2013 Annual Conference on Advances in Cognitive Systems: Workshop on metacognition about artificial situated agents (pp. 51-53).
Tech. Rep. No. CS-TR-5030. College Park, MD: University of Maryland, Department of Computer Science.
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Perlis, D., Cox, M. T., Maynord, M., McNany, E., Paisner, M., Shivashankar, V., Hand, E., Shamwell, J., Oates, T., Du, T., Josyula, D., & Caro, M. (2013). A broad vision for intelligent
behavior: Perpetual real-world cognitive agents. In D. Josyula, P. Robertson, & M. T. Cox (Eds.),
Proceedings of the 2013 Annual Conference on Advances in Cognitive Systems: Workshop on metacognition about artificial situated agents (pp. 1-16).
Tech. Rep. No. CS-TR-5030. College Park, MD: University of Maryland, Department of Computer Science.
2012
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Bhargava, P., Cox, M. T., Oates, T., Oh, U., Paisner, M., Perlis, D., & Shamwell, J. (2012). The robot baby and massive metacognition: Future vision.
In Proceedings of the IEEE Conference on Development and Learning - Epigenetic Robotics 2012 (ICDL/EpiRob). Los Alamitos, CA: IEEE.
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Shamwell, J., Oates, T., Bhargava, P., Cox, M. T., Oh, U., Paisner, M., & Perlis, D. (2012). The robot baby and massive metacognition: Early steps via growing neural gas.
In Proceedings of the IEEE Conference on Development and Learning - Epigenetic Robotics 2012 (ICDL/EpiRob). Los Alamitos, CA: IEEE.
2011
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Cox, M. T., Oates, T., & Perlis, D. (2011).
Toward an integrated metacognitive architecture.
In P. Langley (Ed.), Advances in Cognitive Systems: Papers from the 2011 AAAI Fall Symposium (pp. 74-81). Technical Report FS-11-01. Menlo Park, CA: AAAI Press.
2009
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Cox, M. T., & Aha, D. (2009). Experience-based narrative memory. In Proceedings of the Workshop on Common Sense and Intelligent User Interfaces 2009: Story Understanding and Generation for
Context-Aware Interface Design. Held in conjunction with the 2009 International Conference on Intelligent User Interfaces, Sanibel Island, FL.
2008 and Earlier
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Brown, S., & Cox, M. (1999). Planning for information visualization in mixed-initiative systems. In M. T. Cox (Ed.)
, Proceedings of the AAAI-99 Workshop on Mixed-Initiative Intelligence (pp. 2-10). Menlo Park, CA: AAAI Press.
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Burstein, M. H., Laddaga, R., McDonald, D., Cox, M. T., Benyo, B., Robertson, P., Hussain, T., Brinn, M., & McDermott, D. (2008).
POIROT - Integrated learning of web service procedures.
In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (pp. 1274-1279). Menlo Park, CA: AAAI Press.
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Burstein, M., Brinn, M., Cox, M. T., Hussain, T., Laddaga, R., McDermott, D., McDonald, D., & Tomlinson, R. (2007). An architecture and language for the integrated learning of demonstrations.
In M. Burstein & J. Hendler (Eds.), Acquiring Planning Knowledge via Demonstration: Papers from the 2007 AAAI Workshop (pp. 6-11). Technical Report WS-07-02. Menlo Park, CA: AAAI Press.
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Cheatham, M., & Cox, M. T. (2005a). AI planning in portal-based workflow management systems. In C. Thompson & H. Hexmoor (Eds.)
, Proceedings of the 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems (pp. 47-52). Piscataway, NJ: IEEE Press.
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Cheatham, M., & Cox, M. T. (2005b). AI workflow management in a collaborative environment. In W. McQuay & W. W. Smari (Eds.)
, Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems (pp. 160-166). Piscataway, NJ: IEEE Press.
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Cleereman, K., & Cox, M. T. (2004a). Linear inequality control rules in state-space planning. In E. G. Berkowitz (Ed.)
, Proceedings of the 15th Midwest Artificial Intelligence and Cognitive Science Conference (pp. 148-153). Roosevelt University. Schaumburg, IL.
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Cleereman, K., & Cox, M. T. (2004b). Pathological dependency cycles in state-space planning: When control rules fail. In the
Proceedings of the 17th International FLAIRS Conference (pp. 757-762). Menlo Park, CA: AAAI Press.
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Cox, M. T., & Raja, A. (2008a).
Metareasoning: A manifesto. In M. T. Cox & A. Raja (Eds.),
Metareasoning: Thinking about thinking, papers from the 2008 AAAI Workshop (pp. 1-4). Technical Report WS-08-07. Menlo Park, CA: AAAI Press.
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Cox, M. T., & Raja, A. (Eds.) (2008b).
Metareasoning: Thinking about thinking, papers from the 2008 AAAI Workshop. Technical Report WS-08-07. Menlo Park, CA: AAAI Press.
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Cox, M. T. (2007).
Metareasoning, monitoring, and self-explanation. In A. Raja & M. T. Cox (Eds.),
Proceedings of the First International Workshop on Metareasoning in Agent-based Systems (pp. 46-60). AAMAS-07.
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Cox, M. T. (2005a).
Metacognition in computation: A selected history. In M. Anderson & T. Oates (Eds.),
Proceedings of the AAAI Spring Symposium on Metacognition in Computation (pp. 1-17). Technical Report SS-05-04. Menlo Park, CA: AAAI Press.
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Cox, M. T. (2005b). Perpetual self-aware cognitive agents. In M. Anderson & T. Oates (Eds.), Proceedings of the AAAI Spring Symposium on Metacognition in Computation (pp. 42-48).
Technical Report SS-05-04. Menlo Park, CA: AAAI Press.
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Cox, M. T., & Zhang, C. (2005). Planning as mixed-initiative goal manipulation. In S. Biundo, K. Myers, & K. Rajan (Eds.),
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (pp. 282-291). Menlo Park, CA: AAAI Press.
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Cox, M. T. (2004).
Mixed-initiative case replay. In the Proceedings of the 17th International FLAIRS Conference (pp. 166-171). Menlo Park, CA: AAAI Press.
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Cox, M. T. (2003).
Planning as mixed-initiative goal manipulation. In G. Tecuci, D. Aha, M. Boicu, M. T. Cox, G. Ferguson, & A. Tate (Eds.),
Proceedings of the Workshop on Mixed-Initiative Intelligent Systems at the 18th International Joint Conference on Artificial Intelligence (pp. 36-41).
Menlo Park, CA: International Joint Conference on Artificial Intelligence, Inc.
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Cox, M. T., Elahi, M., & Cleereman, K. (2003).
A distributed planning approach using multiagent goal transformations. In A. Ralescu (Ed.),
Proceedings of the 14th Midwest Artificial Intelligence and Cognitive Science Conference (pp. 18-23). Cincinnati: Omnipress.
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Cox, M. T. (2001).
Toward tailored information presentation in support of collaborative planning. In B. Bell (Ed.),
Proceedings of the AAAI Fall Symposia on Team Intent Inference (pp. 44-50). AAAI Technical Report FS-01-05. Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T., Edwin, G., Balasubramanian, K., & Elahi, M. (2001).
Multiagent goal transformation and mixed-initiative planning using Prodigy/Agent.
In N. Callaos, B. Sanchez, L. H. Encinas, & J. G. Busse (Eds.), Proceedings of the 5th World Multiconference on Systemics, Cybernetics and Informatics, Vol. VII
(pp. 1-6). Orlando, FL: International Institute of Informatics and Systemics.
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Cox, M. T. (2000). A conflict of metaphors: Modeling the planning process. In Proceedings of 2000 Summer Computer Simulation Conference (pp. 666-671).
San Diego: The Society for Computer Simulation.
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Cox, M. T., Kerkez, B., Srinivas, C, Edwin, G., & Archer, W. (2000). Toward agent-based mixed-initiative interfaces. In H. R. Arabnia (Ed.),
Proceedings of the 2000 International Conference on Artificial Intelligence, Vol. 1 (pp. 309-315). CSREA Press.
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Cox, M. T. (Ed.) (1999). Proceedings of the AAAI-99 Workshop on Mixed-Initiative Intelligence. Menlo Park, CA: AAAI Press.
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Cox, M. T., & Veloso, M. M. (1998).
Goal transformations in continuous planning. In M. desJardins (Ed.), Proceedings of the 1998 AAAI Fall Symposium on Distributed Continual Planning (pp. 23-30).
Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T. (1997a).
An explicit representation of reasoning failures. In D. B. Leake & E. Plaza (Eds.),
Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 211-222). Berlin: Springer-Verlag.
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Cox, M. T. (1997b). Loose coupling of failure explanation and repair: Using learning goals to sequence learning methods. In D. B. Leake & E. Plaza (Eds.),
Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 425-434). Berlin: Springer-Verlag.
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Cox, M. T., & Veloso, M. M. (1997a). Controlling for unexpected goals when planning in a mixed-initiative setting. In E. Costa & A. Cardoso (Eds.),
Progress in Artificial Intelligence: Eighth Portuguese Conference on Artificial Intelligence (pp. 309-318). Berlin: Springer.
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Cox, M. T., & Veloso, M. M. (1997b).
Supporting combined human and machine planning: An interface for planning by analogical reasoning. In D. B. Leake & E. Plaza (Eds.),
Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 531-540). Berlin: Springer-Verlag.
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Cox, M. T. (1996).
An empirical study of computational introspection: Evaluating introspective multistrategy learning in the Meta-AQUA system. In R. S. Michalski & J. Wnek, (Eds.),
Proceedings of the Third International Workshop on Multistrategy Learning (pp. 135-146). Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T. (1995). Representing mental events (or the lack thereof). In M. T. Cox & M. Freed (Eds.),
Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms (pp. 22-30). Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T., & Freed, M. (Eds.). (1995). Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms (Tech. Rep. No. SS-95-05).
Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T., & Ram, A. (1995).
Interacting learning-goals: Treating learning as a planning task. In J.-P. Haton, M. Keane & M. Manago (Eds.),
Advances in case-based reasoning (pp. 60-74). Berlin: Springer-Verlag.
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Cox, M. T. (1994).
Machines that forget: Learning from retrieval failure of mis-indexed explanations. In A. Ram & K. Eiselt (Eds.),
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 225-230). Hillsdale, NJ: Lawrence Erlbaum Associates.
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Cox, M. T., & Freed, M. (1994).
Using knowledge of cognitive behavior to learn from failure. In J. W. Brahan & G. E. Lasker (Eds.),
Proceedings of the Seventh International Conference on Systems Research, Informatics and Cybernetics: Vol. 2. Advances in Artificial Intelligence - Theory and Application II (pp. 142-147).
Windsor, Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
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Cox, M. T., & Ram, A. (1994a). Choosing learning strategies to achieve learning goals. In M. desJardins & A. Ram (Eds.),
Proceedings of the 1994 AAAI Spring Symposium on Goal-Driven Learning (pp. 12-21). Menlo Park, CA: AAAI Press / The MIT Press.
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Cox, M. T., & Ram, A. (1994b). Failure-driven learning as input bias. In A. Ram & K. Eiselt (Eds.),
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 231-236). Hillsdale, NJ: Lawrence Erlbaum Associates.
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Cox, M. T., & Ram, A. (1994c). Managing learning goals in strategy-selection problems. In M. Keane, J.-P. Haton, & M. Manago (Eds.),
Proceedings of the Second European Workshop on Case-Based Reasoning (pp. 85-93). Paris: AcnoSoft Press.
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Cox, M. T., & Ram, A. (1992a).
An explicit representation of forgetting. In J. W. Brahan & G. E. Lasker (Eds.),
Proceedings of the Sixth International Conference on Systems Research, Informatics and Cybernetics: Vol. 2. Advances in Artificial Intelligence - Theory and Application (pp. 115-120).
Windsor, Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
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Cox, M. T., & Ram, A. (1992b).
Multistrategy learning with introspective meta-explanations. In D. Sleeman & P. Edwards (Eds.),
Machine Learning: Proceedings of the Ninth International Conference (pp. 123-128). San Mateo, CA: Morgan Kaufmann.
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Cox, M. T., & Ram, A. (1991).
Using introspective reasoning to select learning strategies. In R. S. Michalski and G. Tecuci (Eds.),
Proceedings of the First International Workshop on Multistrategy Learning (pp. 217-230). Washington, DC: George Mason University, Center for Artificial Intelligence.
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Deckard, M., Narayanan, S., & Cox, M. T. (2000). Cox, M. T., & Ram, A. (1991).
Natural system metaphors for supporting collaboration in Air Force applications.
In Proceedings of the 2000 Human Factors & Ergonomics Society/Industrial Ergonomics Meeting, Vol. 2 (pp. 614-617).
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Edwin, G., & Cox, M. T. (2001a).
COMAS: CoOrdination in MultiAgent Systems. In N. Callaos, B. Sanchez, L. H. Encinas, & J. G. Busse (Eds.),
Proceedings of the 5th World Multiconference on Systemics, Cybernetics and Informatics, Vol. VII (pp. 7-12). Orlando, FL: International Institute of Informatics and Systemics.
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Edwin, G., & Cox, M. T. (2001b). Resource coordination in single agent and multiagent systems.
In Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence (pp. 18-24). Los Alamitos, CA: IEEE Computer Society.
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Elahi, M., & Cox, M. T. (2005). A multiagent approach to AI planning.
In Proceedings of the 8th International Conference on Computer and Information Technology. Islamic University of Technology (IUT), Dhaka, Bangladesh.
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Gordon, A. S., Hobbs, J. R., & Cox, M. T. (2008).
Anthropomorphic self-models for metareasoning agents. In M. T. Cox & A. Raja (Eds.),
Metareasoning: Thinking about thinking, papers from the 2008 AAAI Workshop (pp. 129-135). Menlo Park, CA: AAAI Press.
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Gwinnup, J., & Cox. M. T. (2003). Perceiving and acting upon the user desktop.
In Proceedings of the 2nd IASTED International Conference on Information and Knowledge Sharing (pp. 206-211). Calgary, Canada: ACTA Press.
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Immaneni, T., & Cox, M. T. (2004).
GTrans: An application for managing mixed-initiative collaborative planning during emergency response situations. In W. W. Smari & W. McQuay (Eds.),
Proceedings of the 2004 International Symposium on Collaborative Technologies and Systems (CTS’04) (pp. 121-126). San Diego: Society of Modeling and Simulation International.
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Kerkez, B, & Cox. M. T. (2003). Alternate strategies for retrieval in state-spaces. In Proceedings of the 16th International FLAIRS Conference (pp. 119-123). Menlo Park, CA: AAAI Press.
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Kerkez, B, & Cox. M. T. (2002a). Case-based plan recognition with incomplete plan libraries. In B. Bell & E. Santos (Eds.),
Proceedings of the AAAI Fall 2002 Symposium on Intent Inference for Users, Teams, and Adversaries (pp. 52-54). AAAI Technical Report FS-02-05. Menlo Park, CA: AAAI Press / The MIT Press.
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Kerkez, B., & Cox, M. T. (2002b).
Local predictions for case-based plan recognition. In S. Craw & A. Preece (Eds.),
Advances in case-based reasoning: 6th European Conference, ECCBR 2002 Proceedings (pp. 189-203). Berlin: Springer.
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Kerkez, B, & Cox. M. T. (2001). Incremental case-based plan recognition using state indices. In D. Aha & I. Watson (Eds.),
Proceedings of the Fourth International Conference on Case-Based Reasoning (pp. 291-305). Berlin: Springer.
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Kerkez, B, & Cox. M. T. (2000). Planning for the user interface: Window characteristics. In
Proceedings of the 11th Midwest Artificial Intelligence and Cognitive Science (pp. 79-84). Menlo Park, CA: AAAI Press.
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Kerkez, B, Cox. M. T., & Srinivas, C. (2000). Planning for the user interface: Window content. In H. R. Arabnia (Ed.),
Proceedings of the 2000 International Conference on Artificial Intelligence, Vol. 1 (pp. 345-351). CSREA Press.
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Kern, S., & Cox. M. T. (2000).
A problem representation approach for decision support systems. In
Proceedings of the 11th Midwest Artificial Intelligence and Cognitive Science (pp. 68-73). Menlo Park, CA: AAAI Press.
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Langdon, A., & Cox, M. T. (2004).
The effects of agent topologies on multiagent planning performance. In E. G. Berkowitz (Ed.),
Proceedings of the 15th Midwest Artificial Intelligence and Cognitive Science Conference (pp. 125-130). Roosevelt University. Schaumburg, IL.
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Lee, P., & Cox, M. T. (2002).
Dimensional indexing for targeted case-base retrieval: The SMIRKS system. In S. Haller & G. Simmons (Eds.),
Proceedings of the 15th International FLAIRS Conference (pp. 62-66). Menlo Park, CA: AAAI Press.
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Mulvehill, A., Benyo, B., Cox, M. T., & Bostwick, R. (2007).
Expectation failure as a basis for agent-based model diagnosis and mixed-initiative model adaptation during anomalous plan execution. In
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (pp. 489-494). Menlo Park, CA: AAAI Press.
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Mulvehill, A., & Cox, M. (1999).
Using mixed initiative to support force deployment and execution. In M. T. Cox (Ed.),
Proceedings of the AAAI-99 Workshop on Mixed-Initiative Intelligence (pp. 119-123). Menlo Park, CA: AAAI Press.
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Raja, A., & Cox, M. T. (Eds.) (2007). Proceedings of the First International Workshop on Metareasoning in Agent-based Systems. AAMAS-07.
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Ram, A., Cox, M. T., & Narayanan, S. (1992, July). An architecture for integrated introspective learning. In M. Weintraub (Ed.),
Proceedings of the ML-92 Workshop on Computational Architectures for Supporting Machine Learning & Knowledge Acquisition, held at ML-92, Aberdeen, Scotland.
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Tecuci, G., Aha, D., Boicu, M., Cox, M. T., Ferguson, G., & Tate, A. (Eds.) (2003).
Proceedings of the Workshop on Mixed-Initiative Intelligent Systems at the 18th International Joint Conference on Artificial Intelligence.
Menlo Park, CA: International Joint Conference on Artificial Intelligence, Inc.
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Veloso, M. M., Pollack, M. E., & Cox, M. T. (1998). Rationale-based monitoring for planning in dynamic environments. In R. Simmons, M. Veloso, & S. Smith (Eds.),
Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems (pp. 171-179). Menlo Park, CA: AAAI Press.
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Veloso, M. M., Mulvehill, A., & Cox, M. T. (1997). Rationale-supported mixed-initiative case-based planning.
In Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference (pp. 1072-1077). Menlo Park, CA: AAAI Press / The MIT Press.
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Technical Reports
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2009 to Present
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Cox, M. T., & Oates, T. (2013). MIDCA: A metacognitive, integrated dual-cycle architecture for self-regulated autonomy (Tech. Rep. No. CS-TR-5025).
College Park, MD: University of Maryland, Department of Computer Science.
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Cox, M. T., Paisner, M., Oates, T., & Perlis, D. (2014). Anomaly detection for symbolic representations (Tech. Rep. No. CS-TR-5036).
College Park, MD: University of Maryland, Department of Computer Science.
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Dannenhauer, D., Schmitz, S., Eyorokon, V., Gogineni, V. R., Kondrakunta, S., Williams, T., & Cox, M. T. (in press). MIDCA Version 1.4: User manual and tutorial for the Metacognitive Integrated Dual-Cycle Architecture (Tech. Rep. No. COLAB2-TR-1). Dayton, OH: Wright State University, Collaboration and Cognition Laboratory.
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Perlis, D., & Cox, M. T. (2012). Clashes in the infosphere, general intelligence, and metacognition: Final project report (Tech. Rep. No. CS-TR-5017).
College Park, MD: University of Maryland, Department of Computer Science.
2008 and Earlier
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Benyo, B., Cox, M. T., & Kennedy, M. (2005). The JAGUAR model adaptor: Tutorial (Tech. Rep. No. 8428). Cambridge, MA: BBN Technologies, Intelligent Distributed Computing Department.
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Barsalou, L. W., Hale, C. H., & Cox, M. T. (1989). MECH:
A computer interface for teaching and investigating mental models and troubleshooting (Tech. Rep. No. GIT-ICS-89/17). Atlanta: Georgia Institute of Technology, College of Computing.
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Cox, M. T., & Raja, A. (2007).
Metareasoning: A manifesto. BBN Technical Memo TM-2028. Cambridge, MA: BBN Technologies.
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Cox, M. T., Rager, D., & Mulvehill, A. M. (2005). TE1.3 data analysis - Model adaptor perspective: Phase I evaluation document. Cambridge, MA: BBN Technologies, Intelligent Distributed Computing Department.
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Cox, M. T. (2004). Multiagent team formation and collaboration: Final report for the secure knowledge management program (Tech. Rep. No. WSU-CS-04-01).
Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Cox, M. T., & Zhang, C. (2004). Planning as a mixed-initiative goal manipulation process. (Tech. Rep. No. WSU-CS-04-02).
Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Cox, M. T., Hartrum, T., DeLoach, S., & Narayanan, S. (2002). Agent-based mixed-initiative collaboration: The ABMIC project final report
(Tech. Rep. No. WSU-CS-02-01). Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Cox, M. T., & Veloso, M. M. (1997). Supporting combined human and machine planning: The Prodigy 4.0 user interface version 2.0
(Tech. Rep. No. CMU-CS-97-174). Pittsburgh: Carnegie Mellon University, Computer Science Department.
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Cox, M. T. (1994). Metacognition, problem solving and aging (Cognitive Science Tech. Rep. No. 15). Atlanta: Georgia Institute of Technology, College of Computing.
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Cox, M. T., Cabrera, A., Edmonds, A., Moorman, K. & Sawyer, J. (Eds.) (1994).
Proceedings of the 1994 Cognitive Science Graduate Student Conference (Cognitive-Science Tech. Rep. No. 4), Atlanta: Georgia Institute of Technology, College of Computing.
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Cox, M. T. (1993). Introspective multistrategy learning (Cognitive-Science Tech. Rep. No. 2). Atlanta: Georgia Institute of Technology, College of Computing.
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Elahi, M. M., & Cox. M. T. (2003).
User’s manual for Prodigy/Agent, ver. 1.0
(Tech. Rep. No. WSU-CS-03-02). Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Ram, A., Narayanan, S., & Cox, M. T. (1993). Learning to trouble-shoot: Multistrategy learning of diagnostic knowledge for a real-world problem solving task (Tech. Rep. No. GIT-CC-93/67). Atlanta: Georgia Institute of Technology, College of Computing.
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Santos, Jr., E., DeLoach, S., & Cox, M. T. (2003). MADGS: An architecture for dynamic, multi-commander, multi-mission planning and execution (ISIS Laboratory Tech. Rep. No. 105).
Storrs, CT: University of Connecticut, Department of Computer Science & Engineering.
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Srinivas, C., Cox, M. T., & Laxminarayanan, V. (2000).
GTrans version 1.0 user manual and reference (Tech. Rep. No. WSU-CS-00-02).
Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Zhang, C., Cox, M. T., & Immaneni, T. (2002). GTrans version 2.1 user manual and reference (Tech. Rep. No. WSU-CS-02-02). Dayton, OH: Wright State University, Department of Computer Science and Engineering.
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Position Papers, Abstracts, RFIs, Demonstrations, and Invited Presentations
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2018
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Cox, M. T. (2018, August). Facilitating cognitive partnerships with machines. Keynote address, International Conference on Adaptive and Accessible Virtual Learning Environments (CAVA-18), Medellín, Colombia.
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Cox, M. T. (2018, August). Facilitating cognitive partnerships with machines Programación II Workshop 2018 Metacognition Seminar, . Department of Educational Informatics, University of Córdoba, Montería, Colombia.
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Cox, M. T. (2018, August). Metacognition in machines . Invited presentation, Research group on Cognitive Informatics & Cognitive Computing, University of Córdoba, Montería, Colombia.
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Cox, M. T. (2018, May). Robustness in autonomy: Open set recognition & flawed gOaLs. Invited presentation, US-Australia Symposium: 1st Annual Review and Workshop AFOSR – DSTG Co-Sponsored Research Program on Trusted Autonomy. . Melbourne, Australia.
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Cox, M. T. (2018, January). Cognitive architectures and MIDCA. The Second Annual MIDCA Workshop. Wright State University, Dayton, OH.
2017
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Cox, M. T. (2017, November). The language of goals: Facilitating cognitive partnerships between humans and machines. Invited presentation, University of Kentucky, Department of Computer Science, Lexington, KY.
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Cox, M. T. (2017, September). Facilitating cognitive partnerships between humans and machines. Invited presentation, Griffith University, Brisbane, Queensland, Australia.
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Cox, M. T. (2017, August). Impeding partnerships: Mr. & miss matches. Invited presentation, IJCAI-17 Workshop on Impedance Matching in Cognitive Partnerships. Melbourne, Victoria, Australia.
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Cox, M. T. (2017, April). Goal reasoning operations for autonomous systems. Invited presentation, University of Melbourne, Victoria, Australia.
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Cox, M. T. (2017, April). The metacognitive integrated dual-cycle architecture (MIDCA). Invited presentation, Defence Sciences & Technology Group, Edinburgh, South Australia.
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Cox, M. T. (2017, January). The origins of the MIDCA architecture. The First Annual MIDCA Workshop.. Wright State University, Dayton, OH.
The Origins of the MIDCA Architecture.
2016
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Cox, M. T. (2016, August). Goal formulation, monitoring, and transformation for long-duration missions. Invited presentation, 2016 ONR Science of Autonomy Meeting, Washington, DC.
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Cox, M. T. (2016, July). Workshop Summaries: W04 IJCAI 2016 Workshop on Goal Reasoning. The 25th International Joint Conference on Artificial Intelligence, New York, NY.
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Cox, M. T. (2016, August). Full-spectrum autonomy. Invited presentation to Dr. Stefanie Tompkins, Director DARPA/DSO, Wright State University, Dayton, OH.
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Cox, M. T. (2016, February). Effective human-machine collaboration: Recognizing problems in autonomy mission execution.
Invited presentation, ONR Unmanned Systems Technology Meeting, Sandestin Beach, FL.
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Cox, M. T. (2016, January). A metacognitive, integrated, dual-cycle architecture. Defense Sciences Brown Bag Series. Wright State Research Institute. Dayton, OH.
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Cox, M. T. (2016, January). Goal-driven autonomy and cognitive systems. PhD seminar, College of Engineering and Computer Science. Wright State University. Dayton, OH.
2015
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Cox, M. T. (2015, August). Long-duration autonomy. Invited presentation, 2015 ONR Science of Autonomy Meeting, Arlington, VA.
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Cox, M. T. (2015, April). Advanced cognitive systems and goal-driven autonomy. Invited presentation, Department of Computer Science and Engineering Seminar. Wright State University. Dayton, OH.
2014
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Cox, M. T. (2014, July). Goal-driven autonomy and robust architectures for long-duration missions. Invited presentation, Goal Reasoning Research Summit II.
University of Maryland Institute for Advanced Computer Studies. College Park, MD.
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Cox, M. T. (2014, April). Recent work on goal reasoning at the University of Maryland. Invited presentation, Goal Reasoning Research Summit. Naval Research Laboratory, Washington, DC.
2013
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Maynord, M., Aha, D. W., Wilson, M. & Cox, M. T. (2013, December). On the definition and desirability of goal reasoning. Invited poster, 2013 Annual Conference on Advances in
Cognitive Systems: Workshop on goal reasoning. University of Maryland, Baltimore, MD.
2012
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Cox, M. T. (2012, November). Progress toward goal-directed autonomy. Invited presentation, Workshop on Goal-Driven Autonomy and Beyond. Lehigh University, Bethlehem, PA.
2011
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Cox, M. T. (2011, July). Toward an integrated metacognitive architecture. Maryland Metacognition Seminar. University of Maryland, College Park, MD.
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Cox, M. T. (2011, April). Metacognition, introspection, and theory of mind. Invited presentation, ONR Science of Autonomy Meeting, Holiday Inn, Arlington, VA.
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Cox, M. T., Winston, P. H., & Finlayson, M. (2011, February). Narrative and cultural communication [Research abstract]. In Proceedings of the HSCB Focus 2011: Integrating Social
Science Theory and Analytic Methods for Operational Use, Chantilly, VA.
2010
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Cox, M. T. (2010). Negotiate Across Cultures (NAC). DARPA Request for Information DARPA-SN-10-52. Arlington, VA: Defense Advanced Research Projects Agency.
2009
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Cox, M. T. (2009, September). Computational introspection. Invited presentation, SASO-09 Workshop on Metareasoning in Self Adaptive Systems, Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, San Francisco, CA.
2008 and Eariler
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Cox, M. T. (2006, May). Computational introspection and goal formation. Invited presentation, Commonsense Reasoning Group, The Media Lab, Massachusetts Institute of Technology, Cambridge, MA.
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Cox, M. T. (2005, November). Meta-explanation. A demonstration of the Meta-AQUA implementation, AAAI Fall Symposium on Explanation-aware Computing. Crystal City, Virginia.
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Cox, M. T. (2005, March). Metacognition: A history. Invited presentation, AAAI Spring Symposium on Metacognition in Computing. Stanford University.
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Cox, M. T. (2004a, January). Mixed-initiative computing. Plenary speech abstract, In W. W. Smari & W. McQuay (Eds.), Proceedings of the 2004 International Symposium on
Collaborative Technologies and Systems (CTS’04) (p. xi). San Diego: Society of Modeling and Simulation International.
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Cox, M. T. (2004b, August). Mixed-initiative planning. Invited presentation, NSF Glenn Stokes Summer Research Program. Wright State University, Dayton, OH.
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Cox, M. T. (2000a, January). Interfaces for mixed-initiative planning. Position paper and presentation, Intelligent User Interface Conference (IUI’2000) Workshop on Using Plans
in Intelligent User Interfaces. Cambridge, MA: Mitsubishi Electronic Research Lab.
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Cox, M. T. (2000b, April). Multiagent coordination and planning. Invited presentation, 11th Midwest Artificial Intelligence and Cognitive Science (MAICS-2000). University of Arkansas, Fayetteville, AR.
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Cox, M. T. (2000c, April). Planning is NOT search: Why humans and machines have trouble working together. Invited panel discussant, Aerosense 2000. Orlando, FL.
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Cox, M. T. (2000d, November). Agent-based Mixed-initiative Collaboration: The ABMIC Project. Invited presentation, Room 174 A/B, Bldg. 640, Air Force Institute of
Technology, Wright Patterson AFB, OH.
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Cox, M. T. (1999a, May). Agent-based mixed-initiative collaboration. Invited presentation, Computer Science Colloquium Series, Department of Computer Science and Engineering,
University of Connecticut, Storrs, CT.
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Cox, M. T. (1999b, May). Agent-based mixed-initiative collaboration. Invited presentation, SDP Seminar Series on Agent Technologies: BBN Technologies, Cambridge MA.
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Cox, M. T. (1999c, May). Inner peregrinations: Computational introspection and social empathy. Invited presentation, The Media Lab, Massachusetts Institute of Technology, Cambridge, MA.
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Cox, M. T. (1999d, August) Mixed-initiative planning: Supporting combined human and machine decisions. Invited lecture at the Air Force Institute of Technology, Wright Patterson AFB, Ohio.
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Cox, M. T. (1999e, December). Mixed-initiative planning: Changing the planning metaphor. Invited presentation, Science Applications International Corporation, Orlando, FL.
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Cox, M. T. (1999f, December). Mixed-initiative planning: Supporting combined human and machine decisions. Invited presentation, UD Computer Science Colloquium.
Computer Science Department. University of Dayton, Dayton, OH.
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Cox, M. T. (1998, July). Mixed-initiative planning: Supporting combined human and machine decisions. Invited presentation, The Air Force Research Lab,
Information Technology Division, Planning Seminar Series, Rome, NY.
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Cox, M. T. (1995). Categorization in multi-category domain theories [Summary of presented paper]. In K. Moorman (Ed.), Proceedings of the 1995 Cognitive Science Graduate Student Conference
(pp. 5-6). Atlanta: Georgia Institute of Technology, College of Computing.
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Cox, M. T. (1994a).
Case-based introspection [Research abstract]. In Proceedings of the 12th National Conference on Artificial Intelligence (p. 1435). Cambridge, MA: MIT Press.
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Cox, M. T. (1994b). Computational and psychological explanations of forgetting [Summary of presented paper]. In M. T. Cox, A. Cabrera, A. Edmonds, K. Moorman, & J. Sawyer (Eds.),
Proceedings of the 1994 Cognitive Science Graduate Student Conference (Cognitive-Science Tech. Rep. No. 4) (pp. 7-9), Atlanta: Georgia Institute of Technology, College of Computing.
-
Cox, M. T. (1994c, August). Case-based introspection. Invited presentation, Case-Based Reasoning Colloquia Series, University of Kaiserslautern, Kaiserslautern, Germany.
-
Cox, M. T. (1994d, March). Pursuing learning goals. Invited panel discussant, 1994 AAAI Spring Symposium on Goal-Driven Learning, Stanford University.
-
Cox, M. T. (1993). Metacognition and problem solving in natural and artificial reasoners [Summary of presented paper]. In D. Billman (Ed.), Proceedings of the 1993 Cognitive Science Graduate
Student Conference (Cognitive-Science Tech. Rep. No. 3). Atlanta: Georgia Institute of Technology, College of Computing.
-
Cox, M. T. (1992a). Representing retrieval failure declaratively [Summary of presented paper]. In T. Simon (Ed.),
Proceedings of the 1992 Cognitive Science Graduate Student Conference (Cognitive-Science Tech. Rep. No. 1). Atlanta: Georgia Institute of Technology, College of Computing.
-
Cox, M. T. (1992b). Using introspective explanations to select learning strategies [Summary of presented paper]. In
Proceedings Southeast Cognitive Science Conference 1992. Atlanta, GA (Available from AI/Cognitive-Science Group, College of Computing,
Georgia Institute of Technology, Atlanta, GA 30332-0280).