Name
Abstract | ||
|---|---|---|
Agent control methods are generally required flexibility and robustness. As one of agent control methods to realize the flexibility, we proposed a variable neighborhood model in which an agent selects actions based on variable neighborhoods. In this paper, by extension, we formulate a framework of multi-agent system based on variable neighborhood model. We also discuss interactions among agents in the model. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.142 | Granular Computing |
Keywords | Field | DocType |
agent control method,multi-agent system,variable neighborhood,variable neighborhood model,cost accounting,modal logic,multi agent system,intelligent systems,modeling,semantics,multiagent systems,topological space,indium tin oxide,rough set theory,multi agent systems,rough sets,topological spaces | Intelligent decision support system,Computer science,Rough set,Robustness (computer science),Multi-agent system,Artificial intelligence,Semantics,Cost accounting | Conference |
ISBN | Citations | PageRank |
978-1-4244-7964-1 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seiki Ubukata | 1 | 19 | 18.99 |
| Yasuo Kudo | 2 | 95 | 26.41 |
| Tetsuya Murai | 3 | 186 | 42.10 |