Degree of truth
This article will explore Degree of truth in detail, addressing its many facets and possible implications. Degree of truth is a topic of great relevance today, which has captured the attention of academics, experts and the general public. Through an exhaustive analysis, the different perspectives and approaches related to Degree of truth will be examined, with the aim of providing a complete and enriching vision on this topic. From its origins to its impact on contemporary society, this article will seek to shed light on Degree of truth and encourage informed and thoughtful debate.
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In classical logic, propositions are typically unambiguously considered as being true or false. For instance, the proposition one is both equal and not equal to itself is regarded as simply false, being contrary to the Law of Noncontradiction; while the proposition one is equal to one is regarded as simply true, by the Law of Identity. However, some mathematicians, computer scientists, and philosophers have been attracted to the idea that a proposition might be more or less true, rather than wholly true or wholly false. Consider this pizza is hot.
In mathematics, this idea can be developed in terms of fuzzy logic. In computer science, it has found application in artificial intelligence. In philosophy, the idea has proved particularly appealing in the case of vagueness. Degrees of truth is an important concept in law.
The term is an older concept than conditional probability. Instead of determining the objective probability, only a subjective assessment is defined.[1][page needed]
In adjudicative processes, 'substantive truth' is distinct from 'formal legal truth' which comes in four degrees: hearsay, balance of probabilities, proven beyond reasonable doubt and absolute truth (knowledge reserved unto God).[2]
See also
- Language
- Technology
- Logic
- Bivalence
- Fuzzy logic
- Fuzzy set
- Half-truth
- Multi-valued logic
- Paradox of the heap
- Truth
- Truth value
- Vagueness
- Books
Bibliography
- L.A. Zadeh (June 1965). "Fuzzy sets". Information and control. 8 (3). San Diego: 338–353. doi:10.1016/S0019-9958(65)90241-X. ISSN 0019-9958. Zbl 0139.24606. Wikidata Q25938993.
References
- ^ Castell, Lutz; Ischebeck, Otfried, eds. (2003). Time, Quantum and Information. Springer Science & Business Media. doi:10.1007/978-3-662-10557-3. ISBN 978-3-540-44033-8.
- ^ Summers, Robert S. (1999). "Formal Legal Truth and Substantive Truth in Judicial Fact-Finding – Their Justified Divergence in Some Particular Cases". Cornell Law Faculty Publications (1186).
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