@inproceedings{e190460feaff42f99204294703d23398,
title = "Temporal belief-change: κ-functions approach",
abstract = "Current belief change literature is largely confined to atemporal belief change - the temporal element of beliefs is not explicitly recognized or represented. In this paper, we present a temporal belief change framework that is based on applying Spohn's theory of ranking functions to certain temporal semantic objects that we call 'histories'. The resulting framework allows us to address a class of problems for which Jeffery's general conditionalization, and Spohn's cardinality of the ranks, as well as the dependencies between beliefs play a central role. This allows us to lend further support to the argument that the application of the AGM theory is not necessarily limited to a static world. We also present an interpretation of belief update in the context of ranking-functions that has been missing in the literature.",
author = "Armin Hezart and Abhaya Nayak and Orgun, {Mehmet A.}",
year = "2010",
doi = "10.1007/978-3-642-17432-2_2",
language = "English",
isbn = "3642174310",
volume = "6464 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "11--21",
editor = "Jiuyong Li",
booktitle = "AI 2010: Advances in Artificial Intelligence - 23rd Australasian Joint Conference, Proceedings",
address = "United States",
note = "23rd Australasian Joint Conference on Artificial Intelligence, AI 2010 ; Conference date: 07-12-2010 Through 10-12-2010",
}