Summary of A Defeasible Deontic Calculus For Resolving Norm Conflicts, by Taylor Olson et al.
A Defeasible Deontic Calculus for Resolving Norm Conflicts
by Taylor Olson, Roberto Salas-Damian, Kenneth D. Forbus
First submitted to arxiv on: 5 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a defeasible deontic calculus for detecting and resolving norm conflicts in multi-agent systems. Norms are ever-changing, and conflicts arise when exceptions or changes occur. To maintain accurate mental models of others’ norms and avoid social friction, these conflicts must be detected and resolved quickly. The authors bridge the gap between deontic logics and normative multi-agent systems by contributing a defeasible deontic calculus with inheritance, demonstrating its ability to resolve norm conflicts. This analysis reveals a common resolution strategy as a red herring, providing a theoretically justified axiomatization of norm conflict detection and resolution. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re trying to figure out what someone else might do in a certain situation. But people’s rules and values can change over time, which can lead to conflicts. To avoid these conflicts and make good decisions, we need to be able to detect when someone’s rule or value changes. This paper shows how to do this by creating a special set of rules that can handle changing norms. The authors also discovered a common way people often resolve these conflicts, but it turns out this approach isn’t always the best one. |
