Abstract
Krister Segerberg proposed irrevocable belief revision, to be contrasted with ‘standard’ belief revision, in a setting wherein belief of propositional formulas is modelled explicitly. In standard belief revision one can unmake (‘revoke’) belief in any formula, given yet further information that contradicts it. But irrevocable formulas remain believed forever. We compare traditional AGM belief revision with Segerberg’s dynamic doxastic logic, and with dynamic epistemic logical approaches to belief revision. Our work falls in the latter category. In that context with explicit belief operators and dynamic modal operators \([* \varphi ]\) for belief revision with \(\varphi \), we define revocable belief revision as belief revision satisfying that \(\psi \leftrightarrow [* \varphi ] [* \lnot \varphi ] \psi \) is valid; such that irrevocable means not revocable. Segerberg’s irrevocable belief revision is indeed irrevocable in that sense. We give semantic constraints (on multi-agent Kripke models) for revocable belief revision. In order for belief revision to be revocable: (i) the agents should consider the same states possible before and after revision, (ii) states that are non-bisimilar before revision may not be bisimilar after revision (if states are non-bisimilar, they can be distinguished from one another in the logical language), and (iii) it should be possible that states that are not equally plausible before revision become equally plausible after revision. We reformulate four well-known belief revision operators (hard update, soft update, conservative revision, severe revision) as qualitative dynamic belief revision operators. They are irrevocable in the (strong) sense above, because they violate one or more of these three requirements. However, single-agent severe revision is revocable in a weaker sense that following a revision \(*\varphi \) there is a sequence of further revisions recovering the initial state of belief. The work may be relevant for restricted-memory or other bounded rationality approaches to belief revision, e.g., when only a finite number of plausibility distinctions may be stored in memory. Therefore, it may be relevant for the study of logic and cognition.
I had the pleasure to be introduced by Greg Restall to Krister Segerberg at the Logic, Methodology and Philosophy of Science conference in 2003 in Oviedo, Spain. This was not entirely coincidental. I presented at that LMPS my first steps in modelling belief revision in dynamic epistemic logic, joint work with my Otago colleague Willem Labuschagne, rather an abstract than a formal publication: [47]. But from that initial study I had become acquainted with Segerberg’s work, and I was therefore eager to meet him. Our relationship has developed since. With great pleasure I recall the event organized at the University of Amsterdam by Olivier Roy where we met again in 2006. This was the 4th Paris-Amsterdam Logic Meeting of Young Researchers (PALMYR-4): Logics for Belief Dynamics. In 2008 we both became editors of the Journal of Philosophical Logic. In 2012 I still am, this a position I cherish, and I tend to feel that I owe it to Krister. The hospitality offered by Krister and Anita Segerberg, whereever they reside, is legendary. It need hardly be mentioned. But one should, on occasion.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
A prewellorder is a total, transitive and well-founded binary relation. A prewellorder induces an equivalence relation and a wellorder of equivalence classes.
References
Alchourrón, C. E., Gärdenfors, P., & Makinson, D. (1985). On the logic of theory change: Partial meet contraction and revision functions. Journal of Symbolic Logic, 50, 510–530.
Asheim, G. B., & Søvik, Y. (2005). Preference-based belief operators. Mathematical Social Sciences, 50(1), 61–82.
Aucher, G. (2003). A combined system for update logic and belief revision. (Master’s thesis, ILLC, University of Amsterdam, Amsterdam, The Netherlands), ILLC report MoL-2003-03.
Aucher, G. (2005). A combined system for update logic and belief revision. In M.W. Barley & N. Kasabov (Eds.), Intelligent agents and multi-agent systems: 7th pacific rim international workshop on multi-agents (PRIMA 2004), (pp. 1–17). Berlin: Springer, LNAI 3371.
Aucher, G. (2008). Perspectives on belief and change. (PhD thesis, University of Otago and Institut de Recherche en Informatique de Toulouse, New Zealand and France).
Baltag, A., Moss, L. S. & Solecki, S. (1998). The logic of public announcements, common knowledge, and private suspicions. In I. Gilboa (Ed.), Proceedings of the 7th conference on theoretical aspects of rationality and knowledge (TARK 98), (pp. 43–56).
Baltag, A., & Smets, S. (2006). Dynamic belief revision over multi-agent plausibility models. In Proceedings of 7th conference on logic and the foundations of game and decision theory (LOFT 2006).
Baltag. A., & Smets, S. (2008). The logic of conditional doxastic actions. In K. R. Apt & R. van Rooij (Eds.), New perspectives on games and interaction, Texts in Logic and Games 4. Amsterdam: University Press.
Board, O. (2004). Dynamic interactive epistemology. Games and Economic Behaviour, 49, 49–80.
Bonanno, G. (2005). A simple modal logic for belief revision. Synthese Knowledge, Rationality and Action, 147(2), 193–228.
Boutilier, C. (1993). Revision sequences and nested conditionals. In Proceedings of the 13th IJCAI (Vol. 1, pp. 519–525). Burlington: Morgan Kaufmann.
de Rijke, M. (1994). Meeting some neighbours. In J. van Eijck & A. Visser (Eds.), Logic and information flow, (pp. 170–195). Cambridge: MIT Press.
Dégremont, C. (2011). The Temporal Mind. Observations on the logic of belief change in interactive systems. (PhD thesis, University of Amsterdam, ILLC Dissertation Series DS-2010-03).
Ferguson, D., & Labuschagne, W. A. (2002). Information-theoretic semantics for epistemic logic. In Proceedings of LOFT 5, Turin: ICER.
Gärdenfors, P. (1988). Knowledge in Flux: Modeling the dynamics of epistemic states. Bradford Books, Cambridge: MIT Press.
Gerbrandy, J. D. (1999). Bisimulations on planet kripke. (PhD thesis, University of Amsterdam, ILLC Dissertation Series DS-1999-01).
Gerbrandy, J. D., & Groeneveld, W. (1997). Reasoning about information change. Journal of Logic, Language, and Information, 6, 147–169.
Girard, P. (2008). Modal logic for belief and preference change. (PhD thesis, ILLC Dissertation Series DS-2008-04). Palo Alto: Stanford University.
Grove, A. (1988). Two modellings for theory change. Journal of Philosophical Logic, 17, 157–170.
Konieczny, S., & Pino Pérez, R. (2002). Merging information under constraints: A logical framework. Journal of Logic and Computation, 12(5), 773–808.
Kooi, B. (2007). Expressivity and completeness for public update logics via reduction axioms. Journal of Applied Non-Classical Logics, 17(2), 231–254.
Kraus, S., Lehmann, D., & Magidor, M. (1990). Nonmonotonic reasoning, preferential models and cumulative logics. Artificial Intelligence, 44, 167–207.
Laverny, N. (2006). Révision, mises à jour et planification en logique doxastique graduelle. PhD thesis, Toulouse: Institut de Recherche en Informatique de Toulouse (IRIT).
Lewis, D. K. (1973). Counterfactuals. Cambridge: Harvard University Press.
Lindström, S., & Rabinowicz, W. (1999). DDL unlimited: Dynamic doxastic logic for introspective agents. Erkenntnis, 50, 353–385.
Meyer, T. A. (2001). Basic infobase change. Studia Logica, 67, 215–242.
Meyer, T. A., Labuschagne, W. A., & Heidema, J. (2000). Refined epistemic entrenchment. Journal of Logic, Language, and Information, 9, 237–259.
Moses, Y. O., Dolev, D., & Halpern, J. Y. (1986). Cheating husbands and other stories: A case study in knowledge, action, and communication. Distributed Computing, 1(3), 167–176.
Parikh, R., Ramanujam, R., & Distributed processing and the logic of knowledge. In Logic of programs, volume 193 of Lecture Notes in Computer Science, (pp. 256–268). Springer. A newer version appeared in Journal of Logic, Language and Information, (Vol. 12, 453–467), (2003).
Plaza, J. A. (1989). Logics of public communications. In M. L. Emrich, M. S. Pfeifer, M. Hadzikadic, & Z. W. Ras (Eds.), Proceedings of the 4th international symposium on methodologies for intelligent systems: Poster session program, (pp. 201–216). Oak Ridge: Oak Ridge National Laboratory.
Rott, H. (2003). Coherence and conservatism in the dynamics of belief ii: Iterated belief change without dispositional coherence. Journal of Logic and Computation, 13(1), 111–145.
Rott, H. (2006). Shifting priorities: Simple representations for twenty-seven iterated theory change operators. In H. Lagerlund, S. Lindström, & R. Sliwinski (Eds.), Modality matters: Twenty-Five essays in honour of krister segerberg, (Vol. 53, pp. 359–384). Uppsala: Uppsala Philosophical Studies, Uppsala Universitet.
Sack, J. (2007). Adding temporal logic to dynamic epistemic logic. PhD thesis, Bloomington: Indiana University.
Segerberg, K. (1998). Irrevocable belief revision in dynamic doxastic logic. Notre Dame Journal of Formal Logic, 39(3), 287–306.
Segerberg, K. (1999). Default logic as dynamic doxastic logic. Erkenntnis, 50, 333–352.
Segerberg, K. (1999). Two traditions in the logic of belief: Bringing them together. In H. J. Ohlbach & U. Reyle (Eds.), Logic language, and reasoning (pp. 135–147). Dordrecht: Kluwer Academic Publishers.
Spohn, W. (988). Ordinal conditional functions: A dynamic theory of epistemic states. In W. L. Harper & B. Skyrms (Eds.), Causation in decision, belief change, and statistics, (Vol. 2, pp. 105–134).
van Benthem, J. (1989). Semantic parallels in natural language and computation. In Logic colloquium ’87, Amsterdam: North-Holland.
van Benthem, J. (1996). Exploring logical dynamics. Stanford: CSLI Publications.
van Benthem, J. (2007). Dynamic logic of belief revision. Journal of Applied Non-Classical Logics, 17(2), 129–155.
van Benthem, J. (2011). Logical dynamics of information and interaction. Cambridge: Cambridge University Press.
van Benthem, J., Gerbrandy, J. D., Hoshi, T., & Pacuit, E. (2009). Merging frameworks for interaction. Journal of Philosophical Logic, 38, 491–526.
van Benthem, J., van Eijck, J., & Kooi, B. (2006). Logics of communication and change. Information and Computation, 204(11), 1620–1662.
van Ditmarsch, H. (2002). Descriptions of game actions. Journal of Logic, Language and Information, 11, 349–365.
van Ditmarsch, H. (2005). Prolegomena to dynamic logic for belief revision. Synthese Knowledge, Rationality and Action, 147, 229–275.
van Ditmarsch, H. (2008). Comments on ‘the logic of conditional doxastic actions’. In K. R. Apt & R. van Rooij (Eds.), New perspectives on games and interaction, Texts in Logic and Games 4, (pp. 33–44). Amsterdam: Amsterdam University Press.
van Ditmarsch, H. & Labuschagne, W. A. (2003). A multimodal language for revising defeasible beliefs. In E. Álvarez, R. Bosch, & L. Villamil (Eds.), Proceedings of the 12th international congress of logic, methodology, and philosophy of science (LMPS), (pp. 140–141). Oxford: Oviedo University Press.
Velazquez-Quesada, F. R. (2011). Small steps in dynamics of information. (PhD thesis, ILLC Dissertation Series DS-2011-02), Amsterdam: University of Amsterdam.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Ditmarsch, H.v. (2014). On Revocable and Irrevocable Belief Revision. In: Trypuz, R. (eds) Krister Segerberg on Logic of Actions. Outstanding Contributions to Logic, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7046-1_10
Download citation
DOI: https://doi.org/10.1007/978-94-007-7046-1_10
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7045-4
Online ISBN: 978-94-007-7046-1
eBook Packages: Humanities, Social Sciences and LawPhilosophy and Religion (R0)