ICLA 2015: Logic and Its Applications pp 218-231 | Cite as

Representing Imperfect Information of Procedures with Hyper Models

  • Yanjing Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8923)

Abstract

When reasoning about knowledge of procedures under imperfect information, the explicit representation of epistemic possibilities blows up the S5-like models of standard epistemic logic. To overcome this drawback, in this paper, we propose a new logical framework based on compact models without epistemic accessibility relations for reasoning about knowledge of procedures. Inspired by the 3-valued abstraction method in model checking, we introduce hyper models which encode the imperfect procedural information. We give a highly non-trivial 2-valued semantics of epistemic dynamic logic on such models while validating all the usual S5 axioms. Our approach is suitable for applications where procedural information is ‘learned’ incrementally, as demonstrated by various examples.

Keywords

Model Check Regular Expression Imperfect Information Label Transition System Kripke Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Yanjing Wang
    • 1
  1. 1.Department of PhilosophyPeking UniversityBeijingChina

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