Name
Title | ||
|---|---|---|
A unified framework of propositional knowledge base revision and update based on state transition models |
Abstract | ||
|---|---|---|
Belief revision and belief update are two of the most basic types of belief change operations. We need to select either revision or update when we accept new information into the current belief, however, such decision making has not been considered. In this paper, we propose a unified framework of revision and update based on state transition models that enable us to do such decision making. This framework provides a hybrid operation of revision and update, called acceptance. |
Year | Venue | Keywords |
|---|---|---|
2005 | IJCAI | basic type,belief update,propositional knowledge base revision,unified framework,current belief,state transition model,new information,decision making,belief revision,hybrid operation,belief change operation,state transition,knowledge base |
Field | DocType | Citations |
Belief change,Descriptive knowledge,Computer science,Artificial intelligence,Belief revision | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasuo Kudo | 1 | 95 | 26.41 |
| Tetsuya Murai | 2 | 186 | 42.10 |