Brendan is a PhD candidate and award-winning teacher of Cognitive Science, and a recipient of the SSHRC Doctoral Fellowship.
He recently presented a new paper at Stanford University.
Brendan’s MA thesis focused on computationally modeling metacognition. His current PhD thesis focuses on a computational explanation of metacognitive skill.
Brendan will finish his PhD in fall 2025 – contact for postdoctoral opportunities.
Website: www.brendanconwaysmith.com
Research interests
• Metacognition
• Cognitive modeling
• Artificial intelligence
PUBLICATIONS
Conway-Smith, B. (2025 in press). Metacognition as a domain of skill. In Proceedings of the Annual Conference of the Cognitive Science Society. PDF
Conway-Smith, B., & West, R. L. (2025 in press). Metacognition in HCI: Designing Systems for Planning and Flexibility. In Proceedings of the 27th HCI International Conference, HCII 2025. PDF
Conway-Smith, B., & West, R. L. (2024). Toward autonomy: metacognitive learning for enhanced AI performance . In AAAI Spring Symposium on Human-Like Learning in AI. PDF
Conway-Smith, B., & West, R. L. (2024). The computational mechanisms of detached mindfulness. In Proceedings of ICCM 2024, 22nd International Conference on Cognitive Modelling. PDF
West, R., Eckler, S., Conway-Smith, B., Turcas, N., Kelly, M. (2023). Bridging generative networks with the Common Model of Cognition. In AAAI Fall Symposium. PDF
Conway-Smith, B., & West, R. L. (2023). Metacognitive threshold: a computational account. In Proceedings of ICCM 2023, 21st International Conference on Cognitive Modelling. PDF
Conway-Smith, B., West, R. & Mylopoulos, M. (2023). Metacognitive skill: how it is acquired. In Proceedings of the Annual Conference of the Cognitive Science Society. PDF
Conway-Smith, B., & West, R. L. (2022). System-1 and System-2 realized within the Common Model of Cognition. In AAAI Fall Symposium: Thinking Fast & Slow and Other Cognitive Theories in AI. doi.org/10.48550/arXiv.2305.09091 PDF
Conway-Smith, B., & West, R. L. (2022). Clarifying System 1 & 2 through the Common Model of Cognition. In Proceedings of ICCM 2022 20th International Conference on Cognitive Modelling. PDF
West, R. L., & Conway-Smith, B. (2019). A computational theory of feeling. In Proceedings of ICCM 2019 17th International Conference on Cognitive Modelling, 295-300. PDF
VIDEO PRESENTATIONS
Brendan speaks at Stanford University on meta-learning in AI
Brendan's YouTube channel
Visit his YouTube channel on metacognition
https://www.youtube.com/@Meta-Think/videos
Metacognitive threshold
Brendan presents new publication at ICCM (Netherlands)
Metacognitive skill: how it is acquired
Brendan presents new publication at Carleton (Ottawa).
TEDx 2022
Metacognition: an important skill for modern times
Meta-Reasoning and the Influence of Culture
Brendan presents at the 1st Meta-reasoning conference (Jerusalem).
AAAI 2022 Fall Symposium
Brendan presents his paper published at AAAI (U.S.A).
Class lecture: metacognition (part 1)
Class lecture: metacognition (part 2)
Class lecture: metacognition (part 3)
ICCM 2022 presentation:
Clarifying system-1 & 2 through the common model of cognition
Video lecture archive:
Theories in Cognitive Science (CGSC 2001B):
CogSci 2021 conference:
The proceduralization of metacognitive skills
GRADflix – 1 min. video contest:
CogSci conference 2020:
A hierarchical model of metacognition
Carleton Colloquium :
Introduction to Cognitive Modeling & ACT-R:
Brief History of Cognitive Science:
CONTACT
brendan.conwaysmith@carleton.ca
github.com/BrendanCS
linkedin.com/in/brendan-conway-smith-458067aa/
Brendan is the winner of the 2018 TA award for excellence,
and the creator of the cognitive science logo
