An agent is some kind of entity in the world that does something like maximizing a utility function.
See “Why The Focus on Expected Utility Maximisers?” for an informal argument against this and Ringstrom (2022) for a formal construction of a mathematical environment where utility maximisation doesn’t happen.
Do specific properties of our universe – locality, conservation of energy, non-decrease in entropy, ergodicity, etc – help us develop a richer theory of optimization and agents?
See this post, Fields et al. (2022), Boyd et al. (2022), and Vanchurin (2021) for some insights about the connections between physics and learning.
See “Why The Focus on Expected Utility Maximisers?” for an informal argument against this and Ringstrom (2022) for a formal construction of a mathematical environment where utility maximisation doesn’t happen.
See this post, Fields et al. (2022), Boyd et al. (2022), and Vanchurin (2021) for some insights about the connections between physics and learning.