Title
Dynamic Update with Probabilities
Abstract
Current dynamic-epistemic logics model different types of information change in multi-agent scenarios. We generalize these logics to a probabilistic setting, obtaining a calculus for multi-agent update with three natural slots: prior probability on states, occurrence probabilities in the relevant process taking place, and observation probabilities of events. To match this update mechanism, we present a complete dynamic logic of information change with a probabilistic character. The completeness proof follows a compositional methodology that applies to a much larger class of dynamic-probabilistic logics as well. Finally, we discuss how our basic update rule can be parameterized for different update policies, or learning methods.
Year
DOI
Venue
2009
10.1007/s11225-009-9209-y
Studia Logica - An International Journal for Symbolic Logic
Keywords
Field
DocType
probability,dynamic epistemic logic,update,Jeffrey’s rule
T-norm fuzzy logics,Computer science,Probabilistic logic network,Substructural logic,Algorithm,Probabilistic CTL,Theoretical computer science,Classical logic,Probabilistic argumentation,Probabilistic logic,Many-valued logic
Journal
Volume
Issue
Citations 
93
1
24
PageRank 
References 
Authors
1.24
13
3
Name
Order
Citations
PageRank
Johan van Benthem11181107.83
Jelle Gerbrandy225320.40
Barteld P. Kooi347735.43