On limitations of learning algorithms in competitive environments
November 25, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Alexander Y Klimenko, Dimitri A Klimenko
arXiv ID
2011.12728
Category
cs.AI: Artificial Intelligence
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We discuss conceptual limitations of generic learning algorithms pursuing adversarial goals in competitive environments, and prove that they are subject to limitations that are analogous to the constraints on knowledge imposed by the famous theorems of GΓΆdel and Turing. These limitations are shown to be related to intransitivity, which is commonly present in competitive environments.
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