Summary of An Axiomatic Study Of the Evaluation Of Enthymeme Decoding in Weighted Structured Argumentation, by Jonathan Ben-naim et al.
An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation
by Jonathan Ben-Naim, Victor David, Anthony Hunter
First submitted to arxiv on: 7 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
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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 research proposes a framework for evaluating and comparing enthymemes, which are implicit arguments used by humans. The authors introduce seven criteria for decoding enthymemes, based on various research areas, and define the concept of criterion measures, which aim to evaluate decodings against specific criteria. The study also presents several desirable properties for these measures, known as axioms, to ensure their validity. A key contribution is the construction of validated criterion measures that can be used to identify the best enthymeme decodings. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Enthymemes are a type of argument where some premises are implicit. To understand and compare them, we need to decode them by finding the missing premises. But there’s no research on how to evaluate these decodings. This study fills this gap by introducing seven criteria for decoding enthymemes and a way to measure how well they work. The researchers also define what makes a good criterion measure and provide some examples that meet these standards. |
