An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916384675463168 |
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| author | Fungwacharakorn, Wachara Tsushima, Kanae Hosobe, Hiroshi Takeda, Hideaki Satoh, Ken |
| author_facet | Fungwacharakorn, Wachara Tsushima, Kanae Hosobe, Hiroshi Takeda, Hideaki Satoh, Ken |
| contents | Although various aspects of soft-constraint based norms have been explored, it is still challenging to understand preemption. Preemption is a situation where higher-level norms override lower-level norms when new information emerges. To address this, we propose a derivation state argumentation framework (DSA-framework). DSA-framework incorporates derivation states to explain how preemption arises based on evolving situational knowledge. Based on DSA-framework, we present an argumentative approach for explaining preemption. We formally prove that, under local optimality, DSA-framework can provide explanations why one consequence is obligatory or forbidden by soft-constraint based norms represented as logical constraint hierarchies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04065 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms Fungwacharakorn, Wachara Tsushima, Kanae Hosobe, Hiroshi Takeda, Hideaki Satoh, Ken Artificial Intelligence Although various aspects of soft-constraint based norms have been explored, it is still challenging to understand preemption. Preemption is a situation where higher-level norms override lower-level norms when new information emerges. To address this, we propose a derivation state argumentation framework (DSA-framework). DSA-framework incorporates derivation states to explain how preemption arises based on evolving situational knowledge. Based on DSA-framework, we present an argumentative approach for explaining preemption. We formally prove that, under local optimality, DSA-framework can provide explanations why one consequence is obligatory or forbidden by soft-constraint based norms represented as logical constraint hierarchies. |
| title | An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2409.04065 |