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Deductive belief change. (English) Zbl 07730286

Summary: In a 2003-article, Sven Ove Hansson discusses the justificatory structure of a belief base, by highlighting that some beliefs of the belief base are held only because they are (deductively) justified by some other beliefs. He concludes that the relation between the justificatory structure of a belief base and the vulnerability of its beliefs (which in turn reflects their resistance to change) remains an open issue, both on a conceptual and on a technical level. Motivated by Hanssons’ remarks, we introduce in this article a new interesting type of change-operation, called deductive belief change (contraction and revision), and abbreviated as DBC. DBC associates in a natural manner the deductive justification that the logical sentences of the language have, in the context of a belief base \(B\), with their vulnerability relative to \(B\). According to DBC, the more explicit \(B\)-beliefs imply a sentence \(\varphi\), the more resistant to change \(\varphi\) is, with respect to \(B\). We characterize DBC both axiomatically, in terms of natural postulates, and constructively, in terms of kernel belief change, illustrating its simple and intuitive structure. Interestingly enough, as we prove, kernel belief change (and its central specialization partial-meet belief change) already encodes a strong coupling between justificatory structure and vulnerability, as it implements DBC. Furthermore, we show that deductive belief revision, properly adapted to the belief-sets realm, is indistinguishable from Parikh’s relevance-sensitive revision, a fundamental type of revision which, due to its favourable properties, constitutes a promising candidate for a variety of real-world applications. As a last contribution, we study relevance in the context of belief bases, and prove that kernel belief change respects Parikh’s notion of relevance.

MSC:

03B42 Logics of knowledge and belief (including belief change)
68T27 Logic in artificial intelligence
68T30 Knowledge representation
Full Text: DOI

References:

[1] Alchourrón, C.; Gärdenfors, P.; Makinson, D., On the logic of theory change: Partial meet contraction and revision functions, J. Symb. Log., 50, 2, 510-530 (1985) · Zbl 0578.03011 · doi:10.2307/2274239
[2] Alchourrón, C.; Makinson, D., On the logic of theory change: Safe contractions, Stud. Logica., 44, 405-422 (1985) · Zbl 0605.03002 · doi:10.1007/BF00370430
[3] Aravanis, T., On uniform belief revision, J. Log. Comput., 30, 1357-1376 (2020) · Zbl 1464.03014 · doi:10.1093/logcom/exaa058
[4] Aravanis, T., Generalizing Parikh’s criterion for relevance-sensitive belief revision, ACM Trans. Comput. Logic, 24, 2, 1-29 (2022) · Zbl 07672677 · doi:10.1145/3572907
[5] Aravanis, T.; Peppas, P., Theory-relational belief revision, Ann. Math. Artif. Intell., 90, 573-594 (2022) · Zbl 1508.03051 · doi:10.1007/s10472-022-09794-2
[6] Theofanis, I., Aravanis. Relevance in belief update, J. Artif. Intell. Res., 72, 251-283 (2021) · Zbl 1522.68520 · doi:10.1613/jair.1.12772
[7] Aravanis, TI; Peppas, P.; Williams, M-A, Full characterization of Parikh’s relevance-sensitive axiom for belief revision, J. Artif. Intell. Res., 66, 765-792 (2019) · Zbl 1454.03024 · doi:10.1613/jair.1.11838
[8] Areces, C., Becher, V.: Iterable AGM functions. In: Mary-Anne Williams and Hans Rott, editors, Frontiers in Belief Revision, volume 22 of Applied Logic Series, pp 165-196. Springer (2001) · Zbl 0982.00012
[9] Dalal, M.: Investigations into theory of knowledge base revision: Preliminary report. In: Proceedings of the 7th National Conference of the American Association for Artificial Intelligence (AAAI 1988), pp 475-479. The AAAI Press, Menlo Park (1988)
[10] de Kleer, J.: An assumption-based TMS. Artificial Intelligence, 28(127-162) (1986)
[11] Dixon, S., Foo, N.: Connections between the ATMS and AGM belief revision. In: Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI 1993), pp. 534-539 (1993)
[12] Doyle, J., A truth maintenance system, Artif. Intell., 12, 231-272 (1979) · doi:10.1016/0004-3702(79)90008-0
[13] Falappa, M.A., Fermé, E., Kern-Isberner, G.: On the logic of theory change: Relations between incision and selection functions. In: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI 2006), pp. 402-406 (2006)
[14] Falappa, MA; Kern-Isberner, G.; Reis, MDL; Simari, GR, Prioritized and non-prioritized multiple change on belief bases, J. Philos. Log., 41, 77-113 (2012) · Zbl 1252.03032 · doi:10.1007/s10992-011-9200-8
[15] Fermé, E.; Hansson, SO, Selective revision, Stud. Logica., 63, 331-342 (1999) · Zbl 0942.03024 · doi:10.1023/A:1005294718935
[16] Fermé, E.; Hansson, SO, Belief Change: Introduction and Overview (2018), Berlin: Springer, Berlin · Zbl 1458.03001 · doi:10.1007/978-3-319-60535-7
[17] Fermé, E.; Mikalef, J.; Taboada, J., Credibility-limited functions for belief bases, J. Log. Comput., 13, 99-110 (2003) · Zbl 1043.03014 · doi:10.1093/logcom/13.1.99
[18] Fuhrmann, A., Theory contraction through base contraction, J. Philos. Log., 20, 2, 175-203 (1991) · Zbl 0723.03010 · doi:10.1007/BF00284974
[19] Fuhrmann, A: An essay on contraction CSLI publications (1997)
[20] Garapa, M., Selective base revisions, J. Philos. Log., 51, 1-26 (2022) · Zbl 07484053 · doi:10.1007/s10992-021-09606-8
[21] Garapa, M., Fermé, E., Reis, M.D.L.: Studies in credibility-limited base revision. In: Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), pp. 240-247 (2018)
[22] Garapa, M.; Fermé, E.; Reis, MDL, Credibility-limited base revision: New classes and their characterizations, J. Artif. Intell. Res., 69, 1023-1075 (2020) · Zbl 1496.68334 · doi:10.1613/jair.1.12298
[23] Gärdenfors, P., Knowledge in Flux - Modeling the Dynamics of Epistemic States (1988), Cambridge: MIT Press, Cambridge · Zbl 1229.03008
[24] Gärdenfors, P.: Belief revision and relevance. In: PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, pp. 349-365 (1990)
[25] Gärdenfors, P., The dynamics of belief systems: Foundations versus coherence theories, Rev. Int. Philos., 44, 24-46 (1990)
[26] Di Giusto, P., Governatori, G.: A new approach to base revision. In: Barahona, P., Alferes, J. (eds.) Progress in Artificial Intelligence, volume 1695 of Lecture Notes in Computer Science, pp 327-341. Springer (1999) · Zbl 0957.03020
[27] Greiner, R., Pearl, J., Subramanian, D.: (Eds.). Special issue on relevance. Artificial intelligence 97(1-2) (1997)
[28] Grove, A., Two modellings for theory change, J. Philos. Log., 17, 2, 157-170 (1988) · Zbl 0639.03025 · doi:10.1007/BF00247909
[29] Hansson, S.O.: Belief Base Dynamics. PhD thesis, Uppsala University (1991)
[30] Hansson, SO, Theory contraction and base contraction unified, The Journal of Symbolic Logic, 58, 2, 602-625 (1993) · Zbl 0785.03012 · doi:10.2307/2275221
[31] Hansson, SO, Kernel contraction, J. Symb. Log., 59, 845-859 (1994) · Zbl 0810.03017 · doi:10.2307/2275912
[32] Hansson, S.O.: Taking belief bases seriously. In: Prawitz, D., Westerståhl, D. (eds.) Logic and Philosophy of Science in Uppsala, volume 236 of Applied Logic Series, pp 13-28. Springer, Berlin (1994) · Zbl 0827.03014
[33] Hansson, SO, A Textbook of Belief Dynamics: Theory change and database updating (1999), Berlin: Springer, Berlin · Zbl 0947.03023 · doi:10.1007/978-94-007-0814-3
[34] Hansson, SO, Ten philosophical problems in belief revision, J. Log. Comput., 13, 37-49 (2003) · Zbl 1025.03012 · doi:10.1093/logcom/13.1.37
[35] Hansson, SO; Fermé, E.; Cantwell, J.; Falappa, MA, Credibility limited revision, J. Symb. Log., 66, 4, 1581-1596 (2001) · Zbl 0995.03013 · doi:10.2307/2694963
[36] Hansson, SO; Wassermann, R., Local change, Studia Logica: An International Journal for Symbolic Logic, 70, 1, 49-76 (2002) · Zbl 1004.68163 · doi:10.1023/A:1014654208944
[37] Hunter, A., Konieczny, S.: Approaches to measuring inconsistent information. In: Bertossi, L., Hunter, A., Schaub, T. (eds.) Inconsistency Tolerance, volume 3300 of Lecture Notes in Computer Science, pp 191-236. Springer (2005) · Zbl 1111.68125
[38] Hunter, A.; Konieczny, S., On the measure of conflicts: Shapley Inconsistency Values, Artif. Intell., 174, 1007-1026 (2010) · Zbl 1210.68106 · doi:10.1016/j.artint.2010.06.001
[39] Katsuno, H.; Mendelzon, A., Propositional knowledge base revision and minimal change, Artif. Intell., 52, 3, 263-294 (1991) · Zbl 0792.68182 · doi:10.1016/0004-3702(91)90069-V
[40] Kern-Isberner, G., Brewka, G.: Strong syntax splitting for iterated belief revision. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 1131-1137 (2017)
[41] Knight, K., Measuring inconsistency, J. Philos. Log., 31, 77-98 (2002) · Zbl 1003.03022 · doi:10.1023/A:1015015709557
[42] Kourousias, G.; Makinson, D., Parallel interpolation, splitting, and relevance in belief change, J. Symb. Log., 72, 3, 994-1002 (2007) · Zbl 1124.03004 · doi:10.2178/jsl/1191333851
[43] Levi, I., Subjunctives, dispositions and chances, Synthese, 34, 4, 423-455 (1977) · Zbl 0364.02002 · doi:10.1007/BF00485649
[44] Makinson, D., Propositional relevance through letter-sharing, J. Appl. Log., 7, 377-387 (2009) · Zbl 1203.03024 · doi:10.1016/j.jal.2008.12.001
[45] Nebel, B.: Syntax-based approaches to belief revision. In: Gärdenfors, P. (ed.) Belief Revision, Theoretical Computer Science, pp 52-88. Cambridge University Press (1992) · Zbl 0801.68151
[46] Nebel, B.: How hard is it to revise a belief base? In: Dubois, D., Prade, H. (eds.) Handbook of Defeasible Reasoning and Uncertainty Management Systems, volume 3 of Belief Change, pp 77-145. Springer (1998) · Zbl 0934.91011
[47] Parikh, R.: Beliefs, belief revision, and splitting languages. In: Moss, L.S., Ginzburg, J., de Rijke, M. (eds.) Logic, Language and Computation, vol. 2, pp 266-278. CSLI Publications (1999) · Zbl 0963.03023
[48] Parikh, R., Beth definability, interpolation and language splitting, Synthese, 179, 211-221 (2011) · Zbl 1231.03033 · doi:10.1007/s11229-010-9778-3
[49] Peppas, P.: Belief revision. In: van Harmelen, F., Lifschitz, V., Porter, B. (eds.) Handbook of Knowledge Representation, pp 317-359. Elsevier Science (2008)
[50] Peppas, P., Williams, M.-A.: Parametrised difference revision. In: Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), pp 277-286. The AAAI Press, Palo Alto (2018)
[51] Peppas, P.; Williams, M-A; Chopra, S.; Foo, N., Relevance in belief revision, Artif. Intell., 229, 126-138 (2015) · Zbl 1344.68223 · doi:10.1016/j.artint.2015.08.007
[52] Simari, GR., Loui, R.P.: A mathematical treatment of defeasible reasoning and its implementation. Artificial Intelligence, 53(125-157) (1992) · Zbl 1193.68238
[53] Thimm, M.: Inconsistency measurement. In: Amor, N.B., Quost, B., Theobald, M. (eds.) Scalable Uncertainty Management, Lecture Notes in Computer Science, pp 9-23. Springer (2019) · Zbl 1440.68278
[54] Wassermann, R.: Resource bounded belief revision. Phd thesis University of Amsterdam (2000) · Zbl 0962.03011
[55] Wassermann, R., Local diagnosis, J. Appl. Non-Classical Logics, 11, 1-2, 107-129 (2001) · Zbl 1041.68096 · doi:10.3166/jancl.11.107-129
[56] Wassermann, R.: On structured belief bases. In: Williams, M.-A., Rott, H. (eds.) Frontiers in Belief Revision, volume 22 of Applied Logic Series, pp 349-367. Springer (2001) · Zbl 1014.03021
[57] Weydert, E.: Relevance and revision: About generalizing syntax-based belief revision. In: Pearce, D., Wagner, G. (eds.) Logics in AI, European Workshop, JELIA ’92, volume 633 of Lecture Notes in Computer Science, pp 126-138. Springer (1992) · Zbl 0925.03131
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