Summary of An Argumentative Approach For Explaining Preemption in Soft-constraint Based Norms, by Wachara Fungwacharakorn et al.
An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms
by Wachara Fungwacharakorn, Kanae Tsushima, Hiroshi Hosobe, Hideaki Takeda, Ken Satoh
First submitted to arxiv on: 6 Sep 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 tackles the challenge of understanding preemption in soft-constraint based norms, where higher-level norms override lower-level norms when new information emerges. To address this, the authors propose a derivation state argumentation framework (DSA-framework) that incorporates derivation states to explain how preemption arises based on evolving situational knowledge. The DSA-framework is then used to develop an argumentative approach for explaining preemption, with formal proofs showing that it can provide explanations for why certain consequences are obligatory or forbidden under soft-constraint based norms represented as logical constraint hierarchies. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how our ideas and rules change when new information comes in. It’s like a puzzle where we need to figure out why our top priorities sometimes override what we thought was important before. The authors came up with a special way of thinking about this, called the derivation state argumentation framework (DSA-framework). This framework helps us understand how our ideas and rules change based on new information. By using this framework, we can explain why certain things are important or not important anymore. |
