Computational Minds and Agent Well-Being Laboratory
The CMAW Lab develops the mathematical foundations of computational theories of mind and their implications for AI. Our research addresses two questions.
- Foundations: How can we mathematically characterize the relationship between computation, physical systems, and agent experience?
- Qualia Optimization: Given such a characterization, how can we design AI systems that achieve their intended goals while also optimizing for agent well-being?
We combine theoretical analysis with empirical algorithm evaluation, drawing on machine learning, reinforcement learning, and theoretical computer science.