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On the limits of recursively self-improving AGI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9205 394-403
DOI: 10.1007/978-3-319-21365-1_40
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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.

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Yampolskiy, R. V. (2015). On the limits of recursively self-improving AGI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9205, pp. 394–403). Springer Verlag. https://doi.org/10.1007/978-3-319-21365-1_40

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