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New logic framework aids autonomous systems in norm-guided decision-making

Researchers have developed a new doxastic deontic logic designed to help autonomous systems make decisions when faced with conflicting norms and uncertain information. This logic, a simplified version of Chellas' Minimal Deontic Logic, incorporates conditional norms and multi-agent KD45, allowing norms to be based on agents' beliefs about facts and other norms. The system defines a Doxastic Norm Compliance Optimization Problem, enabling agents to select decisions that minimize norm violations, distinguishing between subjective and objective optimization. The researchers have also demonstrated that optimal decision-making under certain conditions can be efficiently solved using weighted partial MaxSAT. AI

IMPACT This framework could improve the reliability and safety of autonomous systems in complex, norm-driven environments.

RANK_REASON The cluster contains a research paper detailing a new logic framework for AI decision-making. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New logic framework aids autonomous systems in norm-guided decision-making

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The cluster contains a research paper detailing a new logic framework for AI decision-making. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Thorsten Engesser, Agata Ciabattoni ·

    A Simple Doxastic Deontic Logic for Norm-Guided Decision Making

    arXiv:2610.00668v1 Announce Type: new Abstract: Making decisions despite conflicting norms and incomplete or unreliable information is a fundamental challenge for autonomous systems. We introduce a simple doxastic deontic logic for this setting: a classically reducible fragment o…