Autotelic AI requires agents to generate and relativize their own self-boundaries in embedded settings, with the paper consolidating this into a framework extended to quantum, philosophical, and LLM contexts.
Categorizing Wireheading in Partially Embedded Agents
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
$\textit{Embedded agents}$ 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 $\textit{wirehead}$ 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.
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
The Tao of Agency: Autotelic AI, Embedded Agency and Dissolution of the Self
Autotelic AI requires agents to generate and relativize their own self-boundaries in embedded settings, with the paper consolidating this into a framework extended to quantum, philosophical, and LLM contexts.