Abstract
AGM’s belief revision is one of the main paradigms in the study of belief change operations. Despite its popularity and importance to the area, it is well recognized that AGM’s work relies on a strong idealisation of the agent’s capabilities and on the nature of beliefs themselves. Particularly, it is well-recognized in the area of Epistemology that Belief and Knowledge are hyperintensional notions, but to our knowledge only a few works have explicitly considered how hyperintensionality affects belief change. In this work, we investigate belief change operations based on Berto’s topic-sensitive framework and provide three different pseudo-contraction operations to account for the hyperintensional behaviour of beliefs. Our work highlights the connection of a foundational hyperintensional theory of belief with the results of AGM Belief Change. Also we propose and characterise different possible contraction-like operations in this framework.
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- 1.
While AGM [1] does not adhere to any specific logical language, the authors assume the logic is supraclassical, meaning it proves all truths of classical logic.
- 2.
In the following, we will adopt Ribeiro and Wassermann’s [29] generalisation of the AGM postulates, which correspond to a choice multiple contraction.
- 3.
Namely, we can equivalently define \(\psi \in K-_{\downarrow \tau (\varphi )} \varphi \) by the formula \(B^{\psi \vee \lnot \psi }\psi \wedge B^{\lnot \varphi } \psi \) in their language.
- 4.
Consider, for example, the case of searching for an algebraic proof for the Fundamental Theorem of Algebra. While we can prove this theorem by analytic methods, such a proof would not be desirable as it employs non-algebraic axioms and language.
- 5.
Notice that the operations considered here are all defined as partial meet operations of some kind. As such, can can only guarantee the existence of such operations for foundational logics that are monotonic and compact, since otherwise the upper bound property [2] may not hold.
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Souza, M. (2020). Towards a Theory of Hyperintensional Belief Change. In: Cerri, R., Prati, R.C. (eds) Intelligent Systems. BRACIS 2020. Lecture Notes in Computer Science(), vol 12320. Springer, Cham. https://doi.org/10.1007/978-3-030-61380-8_19
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