WSU Collaboration and Cognition Laboratory (COLAB²)

Baxter

The Collaboration and Cognition Laboratory (COLAB²) studies mixed-initiative computing, a collaborative activity in which humans and machines serve active roles. Located on the top floor of the Neuroscience and Engineering Collaboration Building at Wright State University, the lab directed by Michael Cox houses research space for students, workstations, multimedia facilities, and provides a home for Neo, our beloved Baxter humanoid robot. Using the Metacognitive Integrated Dual-Cycle Architecture (MIDCA), a cognitive architecture, researchers explore novel means for controlling and interacting with autonomous platforms under dynamic conditions in which unexpected problems are likely to arise. Our approach examines issues of human-machine teaming, robustness for long-duration intervals, and goal-driven autonomy.

We welcome you to learn more about our team, research, and accomplishments.

Latest News & Events

Michael Cox, gave an oral presentation for his work on problem representations at the Eighth Annual Conference on Advances in Cognitive Systems .
Michael Cox, Matt Molineaux, and Sravya Kondrakunta attended the Seventh Annual Conference on Advances in Cognitive Systems in Cambridge, Massachusetts. They submitted papers that can be found in the Conference Preceedings .
The Collaboration and Cognition Laboratory (COLAB²) hosted the Workshop on Metacognition in Cognitive Architectures on July 1, 2019 from 9:00AM to 5:00PM in the Tait Conference Room, Russ Engineering Center, Room 405L at Wright State University.
Michael Cox, Dustin Dannenhauer, Matt Molineaux, Sampath Gogineni , Sravya Kondrakunta , and Vahid Eyorokon attended IJCAI-2018 the Sixth Workshop on Goal Reasoning, 27th International Joint Conference on Artificial Intelligence (IJCAI-2018) in Stockholm, Sweden.
Michael Cox, Sampath Gogineni , Sravya Kondrakunta , Zohreh Alavi , and Vahid Eyorokon attended ICCBR-18 Twenty-Sixth International Conference on Case-Based Reasoning (ICCBR-18) in Stockholm, Sweden.
Michael Cox and Dustin Dannenhauer attended AAAI Phoenix and have presented a paper on goal transformation and goal reasoning.
MIDCA 1.4 released.
Dustin Dannenhauer hosted an Online MIDCA Workshop going through the features and changes being added to the upcoming MIDCA 1.4 update.
Michael Cox and Dustin Dannenhauer attended AAAI Phoenix and have presented a paper on goal transformation and goal reasoning.
Michael Cox attended ACS Chicago and have presented a paper "A Model of Planning, Action and Interpretation with Goal Reasoning."
Michael Cox, Dustin Dannenhauer, Zohreh Alavi and Vahid Eyorokon attended IJCAI New York and have presented various papers and posters.
Michael Cox, Dustin Dannenhauer, Zohreh Alavi and Vahid Eyorokon attended IJCAI Goal Reasoning Workshop New York and have participated in the workshop.

Projects

MIDCA (Metacognitive Integrated Dual-Cycle Architecture)
Ronin
MiDLE

Recent Publications

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.
Cox, M. T. (2017). A model of planning, action, and interpretation with goal reasoning. Advances in Cognitive Systems, 5, 57-76.
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.
Cox, M. T., & Dannenhauer, D. (2016). Goal transformation and goal reasoning. In Proceedings of the 4th Workshop on Goal Reasoning. New York, IJCAI-16.
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.
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.
Dannenhauer, D., Cox, M. T., & Munoz-Avila, H. (2018). Declarative metacognitive expectations for high-level cognition. Advances in Cognitive Systems, 6, 231-250.
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.
Dannenhauer, Z. A., & Cox, M. T. (2018). Rationale-based perceptual monitors. AI Communications, 31 (2), 197-212.
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.
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.
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.
Siler, J. C., & Cox, M. T. (2018). Generating plans for qualitative goal preferences. In Working Notes of the 2018 IJCAI Goal Reasoning Workshop. IJCAI.

Questions and comments are welcome, please email [email protected]