Name
Abstract | ||
|---|---|---|
In this paper, we propose a model that an agent selects actions based on variable neighborhoods. We formulate relationships among variable neighborhoods, the agent's observations, and the agent's behaviors in a framework of rough set theory and topological spaces. The main task is to explore a method by which we can select sizes of neighborhoods under given contexts. We also show simulation results of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04592-9_45 | KES (2) |
Keywords | Field | DocType |
variable neighborhoods,topological space,rough set theory,main task,agent control method,variable neighborhood,simulation result,topological spaces,modal logic | Topological space,Computer science,Theoretical computer science,Rough set,Modal logic,Kripke models | Conference |
Volume | ISSN | Citations |
5712 | 0302-9743 | 2 |
PageRank | References | Authors |
0.77 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seiki Ubukata | 1 | 19 | 18.99 |
| Yasuo Kudo | 2 | 95 | 26.41 |
| Tetsuya Murai | 3 | 186 | 42.10 |