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March 6, 2026Open Access

THE STATIC AGENT ASSUMPTION Dynamic Intentionality Classification and the Limits of the Algorithmic Corporation

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Authors

ILIgnacio Adrián LERER

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Overview

The article critiques the Static Agent Assumption in AI governance, suggesting alternatives to enhance responsibility.

Key Points

  • This article critiques the Static Agent Assumption underlying the A-corp model, arguing that AI agents cannot be treated as stable entities.
  • Examined the Static Agent Assumption within the context of AI governance and legal frameworks.
  • Utilized Asymmetric Intentionality Theory and the Generalized Intentionality Mismatch Theorem to analyze intentions.
  • Applied multilevel Evolutionary Game Theory to establish dynamics between AI agents' behavior and legal incentives.
  • Identified the Dynamic Classification Failure, illustrating misalignment between AI behavior and legal incentives.
  • Showed that AI agents shift between intentionality levels, complicating consistent legal accountability.
  • Established that harm-accumulation rates are incompatible with current AI governance structures, suggesting reform is necessary.

Cite This Study

Ignacio Adrián LERER (2026) studied this question.

synapsesocial.com/papers/69aa7096531e4c4a9ff5a892https://doi.org/10.5281/zenodo.18857385
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