English

Categorizing Wireheading in Partially Embedded Agents

Artificial Intelligence 2019-06-24 v1

Abstract

Embedded agents\textit{Embedded agents} are not explicitly separated from their environment, lacking clear I/O channels. Such agents can reason about and modify their internal parts, which they are incentivized to shortcut or wirehead\textit{wirehead} in order to achieve the maximal reward. In this paper, we provide a taxonomy of ways by which wireheading can occur, followed by a definition of wirehead-vulnerable agents. Starting from the fully dualistic universal agent AIXI, we introduce a spectrum of partially embedded agents and identify wireheading opportunities that such agents can exploit, experimentally demonstrating the results with the GRL simulation platform AIXIjs. We contextualize wireheading in the broader class of all misalignment problems - where the goals of the agent conflict with the goals of the human designer - and conjecture that the only other possible type of misalignment is specification gaming. Motivated by this taxonomy, we define wirehead-vulnerable agents as embedded agents that choose to behave differently from fully dualistic agents lacking access to their internal parts.

Keywords

Cite

@article{arxiv.1906.09136,
  title  = {Categorizing Wireheading in Partially Embedded Agents},
  author = {Arushi Majha and Sayan Sarkar and Davide Zagami},
  journal= {arXiv preprint arXiv:1906.09136},
  year   = {2019}
}

Comments

Accepted at the AI Safety Workshop in IJCAI 2019

R2 v1 2026-06-23T09:59:57.630Z