On the limits of recursively self-improving AGI

Roman V. Yampolskiy, University of Louisville

Abstract

Self-improving software has been a goal of computer scientists since the founding of the field of Artificial Intelligence. In this work we analyze limits on computation which might restrict recursive self-improvement. We also introduce Convergence Theory which aims to predict general behavior of RSI systems.