Advancing Artificial Intelligence through Theory of Mind (ToM4AI):
Bridging Human Cognition and Artificial Intelligence
https://sites.google.com/view/theory-of-mind-aaai-2025/
Important Dates:
November 24, 2024 - Submissions Due
December 9, 2024 - Authors Notifications
December 20, 2024 - Early Registration Deadline
March 3 or 4, 2025 - Workshop Day
Theory of Mind, the ability to reason about and attribute mental states—such as beliefs, intentions, desires, and emotions—to oneself and others, is essential for predicting behaviour. As artificial intelligence (AI) systems evolve towards greater interactivity, ToM principles enable better interpretations and responses of human actions and intentions to provide the equivalent computational efficiency humans enjoy.
This workshop will convene researchers from diverse fields, ranging from psychology, philosophy, cognitive science, neuroscience, robotics, and AI, to explore the implications of ToM in developing advanced AI systems. We aim to bridge the gap between theory-driven cognitive science and practical AI applications, fostering a multidisciplinary dialogue on the role of ToM in AI.
The outcomes of this workshop will contribute to the theoretical understanding of ToM in AI and inspire new research directions, collaborations, and an interdisciplinary community focused on this topic.
Call for papers:
We invite the participation of researchers who are interested in directly addressing Theory of Mind in AI. We also expect submissions to ToM4AI and related topics relevant to designing, developing, demonstrating, or evaluating ToM-based AI agents. Topics include, but are not limited to:
Developmental ToM: Insights for AI
The Role of ToM in Human-AI Interaction
Computational ToM
ToM in Large Language Models: Emulation, Emergence, or Anthropomorphic Illusion?
Plan and goal recognition
ToM in human-robot interactions
Epistemic reasoning and planning
BDI and adaptive cognitive architectures
Multi-agent communication and meta-cognition
Knowledge representation and meta-reasoning
ToM evaluation and benchmarks
Evolution and simulation of ToM
Philosophical aspects of Artificial Mind-reading
Submission Format:
Papers should be submitted via OpenReview
We will accept submissions in the form of extended abstracts (up to 2 pages, references excluded) on the broader ToM4AI spectrum. Papers must be in high-resolution PDF format, formatted for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts. Reviews are double-blind, and submissions must conform to the AAAI-25 submission instructions found here (zip file is available on the workshop site:
The workshop is a 1 day event (date TBD), including 4 keynote talks (speakers listed below), paper presentation session and a round table session.
Planned speakers:
– Sheila McIlraith, Professor, Department of Computer Science, Toronto University
– Rebbeca Saxe, Professor, Department of Brain and Cognitive Sciences, MIT.
– Joshua Tenenbaum, Professor, Department of Brain and Cognitive Sciences, MIT.
– Rineke Verbrugge, Professor, Artificial Intelligence Bernoulli Institute, Uni. of Groningen.
Organizing Committee (alphabetized):
Nitay Alon, Department of Computer Science, The Hebrew University of Jerusalem (Primary POC: nitay...@mail.huji.ac.il)
Joseph Barnby, Cognitive Science at Royal Holloway, University of London
Reuth Mirsky, Department of Computer Science, Tufts University
Stefan Sarkadi, King's College London
Advancing Artificial Intelligence through Theory of Mind (ToM4AI):
Bridging Human Cognition and Artificial Intelligence
https://sites.google.com/view/theory-of-mind-aaai-2025/
Dear Colleagues,
This is a kind reminder to submit your short papers to the AAAI workshop on Advancing Artificial Intelligence through Theory of Mind (ToM4AI).
The workshop's speakers include Sheila McIlraith, Rebbeca Saxe, Joshua Tenenbaum, and Rineke Verbrugge.
We look forward to your submissions!