Reasoning and Planning with Dynamically Changing Norms

Researchers have proposed a new approach to guiding AI planning using dynamically changing norms to ensure safe human-AI interaction. The method introduces a defeasible calculus to resolve normative conflicts and uses these dynamic norms as guard rails for AI plans.
Computer Science > Artificial Intelligence
Title:Reasoning and Planning with Dynamically Changing Norms
View PDF HTML (experimental)Abstract:To safely interact with humans, AI agents must both know our norms and consider them during planning. However, such norm-guided planning has been less explored, only within communities of artificial agents, and has ignored the dynamic nature of norms. This paper instead presents an approach to guiding planning with dynamically changing norms in a human-AI setting. We contribute a defeasible calculus for resolving normative conflicts and an approach to using such dynamically changing norms as guard rails on plans. We theoretically demonstrate our approach with formal proofs and empirically with an AI agent, SocialBot, on a natural language dialogue task.
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Source: arXiv cs.AI Recent















