[CfP] RLDM 2025 Workshop: Saving the Phenomena of Minds is now open for submissions

[Shruti Mishra]

Dear All,

We are inviting submissions for the RLDM workshop Saving the Phenomena of Minds. The workshop will treat RL as an explanatory theory of the mind and examine issues at the intersection of AI, mental phenomena, and the philosophy of science.

Where: Trinity College, Dublin, Ireland
When: June 12th, 2025
Deadline: April 18th, 2025
Website: Link

Submission Guidelines: Link

We welcome submissions that examine any of the following topics:

1. Modeling and explaining the Mind:

• Phenomena of Mind: mental processes, behaviors, and experiences that occur in nature and that we hope to model.
• Role of Reinforcement Learning (RL): RL as a framework to model and explain these phenomena.
• Validation of scientific models: How to ensure the accuracy and relevance of models.

2. Artificial Intelligence and the Mind:

• Principles of Intelligence: Identifying universal principles that govern intelligent behavior in both natural and artificial systems.
• Relationship between observations and AI theory: How to assess whether an AI theory is valid, and a system truly achieves mind status.
• AI and Ethics: Understanding the relation and relevance of ethics in artificial systems.

3. Philosophical and methodological considerations:

• The role of conceptual / mathematical models: How conceptual or mathematical models can represent and explain mental phenomena.
• Individuality and universality of Mind: Whether it's possible to develop universal explanations for mind phenomena given their individual nature.
• Historical evolution of Mind science: How the understanding and study of mental phenomena have evolved over time. 

Sincerely, 
Organizing Committee

Aniek Fransen (Caltech)
Shruti Mishra (Sony AI)
Guy Davidson (NYU, Meta)
Michael Dennis (Google DeepMind)
Noam Goldway (King's College London)
John D. Martin (Openmind Research Institute / University of Alberta)
Prabhat Nagarajan (Amii / University of Alberta)
Aditya Ramesh (The Swiss AI Lab IDSIA / University of Lugano (USI))