Plausible Reasoning and First-Order Plausible Logic
arXiv cs.AI / 4/22/2026
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Key Points
- The paper introduces "plausible reasoning" as a form of non-numerical reasoning that draws conclusions from factual and defeasible (likely-but-not-certain) statements without using probabilities.
- It proposes seventeen principles for logics that support plausible reasoning, including fourteen necessary and three desirable principles, and notes that one desirable principle is not formally stated.
- A first-order logic called Plausible Logic (PL) is defined that satisfies all but two of the desirable principles and is claimed to correctly handle the provided examples.
- The authors present a set of reasoning algorithms for PL (eight total) to account for different reasonable conclusions that can arise from the same plausible reasoning situation.
- This work is a condensed version of the author’s forthcoming book, with proofs deferred to that book.
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