×

Measuring inconsistency in generalized propositional logic. (English) Zbl 1476.03034

The notion of “measuring inconsistency” was introduced in the author’s work [Notre Dame J. Formal Logic 19, 435–444 (1978; Zbl 0305.02040)]. But the topic took off with the proposal and results in [K. Knight, J. Philos. Log. 31, No. 1, 77–98 (2002; Zbl 1003.03022)].
Let CL be classical propositional logic. As the author remarks, most of the work done on the subject has been devoted to measuring inconsistency of sets of CL-formulas.
Let GPL (generalized propositional logic) be the result of expanding CL with propositional operators similar to those characteristic of modal logic, such as, e.g., tense and spatial operators. “The goal of this paper is to find intuitively good ways to measure inconsistency as operators are added to propositional logic [CL] in the framework of generalized propositional logic” (p. 338).
In the final section of the paper, the author remarks the ensuing two facts: (1) a weak concept of inconsistency is relevant in the case of GPL, and it has been shown in the paper how to measure it; (2) it is indicated how to measure the relative inconsistency of a set of formulas. Finally, the author suggests some ideas for future work on the topic.

MSC:

03B53 Paraconsistent logics
03B45 Modal logic (including the logic of norms)
Full Text: DOI

References:

[1] Besnard, Ph; Grant, J., Relative inconsistency measures, Artif. Intell., 280, 103231 (2018) · Zbl 1476.68257 · doi:10.1016/j.artint.2019.103231
[2] Blackburn, P.; de Rijke, M.; Venema, Y., Modal Logic (2001), Cambridge: Cambridge University Press, Cambridge · Zbl 0988.03006
[3] Carnielli, WA; Coniglio, ME, Paraconsistent Logic: Consistency, Contradiction and Negation (2016), Dordrecht: Springer, Dordrecht · Zbl 1355.03001
[4] De Bona, G.; Grant, J.; Hunter, A.; Konieczny, S., Classifying inconsistency measures using graphs, J. Artif. Intell. Res., 66, 937-987 (2019) · Zbl 1446.68146 · doi:10.1613/jair.1.11852
[5] Doder, D.; Raskovic, M.; Markovic, Z.; Ognjanovic, Z., Measures of inconsistency and defaults, Int. J. Approx. Reason., 51, 832-845 (2010) · Zbl 1205.68422 · doi:10.1016/j.ijar.2010.05.007
[6] Gabbay, DM; Kurucz, A.; Wolter, F.; Zakharyaschev, M., Many-Dimensional Modal Logics: Theory and Applications (2003), Amsterdam: Elsevier, Amsterdam · Zbl 1051.03001
[7] Grant, J., Classifications for inconsistent theories, Notre Dame J. Form. Log., XIX, 3, 435-444 (1978) · Zbl 0305.02040 · doi:10.1305/ndjfl/1093888404
[8] Grant, J., Hunter, A.: Measuring consistency gain and information loss in stepwise inconsistency resolution. In: ECSQARU 2011. Springer-Verlag Lecture Notes in Artificial Intelligence, pp. 362-373 (2011) · Zbl 1341.68256
[9] Grant, J.; Hunter, A., Analysing inconsistent information using distance-based measures, Int. J. Approx. Reason., 89, 3-26 (2017) · Zbl 1419.68144 · doi:10.1016/j.ijar.2016.04.004
[10] Grant, J.; Martinez, MV, Measuring Inconsistency in Information (2018), London, UK: College Publications, London, UK · Zbl 1411.68015
[11] Hunter, A., Konieczny, S.: Measuring inconsistency through minimal inconsistent sets. In: KR’2008, pp. 358-366. AAAI Press (2008)
[12] Knight, KM, Measuring inconsistency, J. Philos. Log., 31, 77-98 (2002) · Zbl 1003.03022 · doi:10.1023/A:1015015709557
[13] Priest, G., The logic of paradox, J. Philos. Log., 8, 219-241 (1979) · Zbl 0402.03012 · doi:10.1007/BF00258428
[14] Prior, AN, Past, Present and Future (1967), Oxford: Clarendon Press, Oxford · Zbl 0169.29802
[15] Thimm, M.: On the evaluation of inconsistency measures. In Grant, J., Martinez, M.V. (eds.) Measuring Inconsistency in Information, pp. 169-194. College Publications, London, UK (2018) · Zbl 1515.68323
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.