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arXiv · 2110.02450

Reward-Punishment Symmetric Universal Intelligence

Samuel Allen Alexander·Marcus Hutter
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Abstract

Can an agent's intelligence level be negative? We extend the Legg-Hutter agent-environment framework to include punishments and argue for an affirmative answer to that question. We show that if the background encodings and Universal Turing Machine (UTM) admit certain Kolmogorov complexity symmetries, then the resulting Legg-Hutter intelligence measure is symmetric about the origin. In particular, this implies reward-ignoring agents have Legg-Hutter intelligence 0 according to such UTMs.

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Samuel Allen Alexander, Marcus Hutter. 2021-10-06. Reward-Punishment Symmetric Universal Intelligence. https://doi.org/10.1007/978-3-030-93758-4_1

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