Agentive Permissions in Multiagent Systems

Qi Shi

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Main Track. Pages 3558-3566.

https://doi.org/10.24963/ijcai.2024/394

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Abstract

This paper proposes to distinguish four forms of agentive permissions in multiagent settings. The main technical results are the complexity analysis of model checking, the semantic undefinability of modalities that capture these forms of permissions through each other, and a complete logical system capturing the interplay between these modalities.

Keywords

  • Knowledge Representation and Reasoning: KRR: Reasoning about actions
  • AI Ethics, Trust, Fairness: ETF: Moral decision making
  • AI Ethics, Trust, Fairness: ETF: AI and law, governance, regulation
  • AI Ethics, Trust, Fairness: ETF: Ethical, legal and societal issues
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