Summary of A Logic For Reasoning with Inconsistent Knowledge — a Reformulation Using Nowadays Terminology (2024), by Nico Roos
A logic for reasoning with inconsistent knowledge – A reformulation using nowadays terminology (2024)
by Nico Roos
First submitted to arxiv on: 15 Nov 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 The proposed logic enables reasoning with inconsistent knowledge by treating premises as assumptions rather than absolute truths. This approach allows for deducing useful conclusions from conflicting information, which is crucial in situations where sources of information are not fully reliable. The logic generalizes Rescher’s work and employs a reliability relation to choose between incompatible assumptions when contradictions arise. By assuming consistency until a contradiction is derived, the logic enables defining an argumentation-based deduction process. The semantics of this logic is based on Shoham’s ideas and shares properties with ideal non-monotonic logics. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Inconsistencies in knowledge can be due to unreliable sources of information. This paper presents a new way to reason with inconsistent knowledge by treating premises as assumptions rather than absolute truths. It’s like looking at different clues to solve a mystery, where you weigh the importance of each one until you find a contradiction. The logic is an improvement on earlier work and helps us make good decisions even when we have conflicting information. |
Keywords
» Artificial intelligence » Semantics
