Abstract | ||
---|---|---|
In multiagent systems each agent has its own local view of the environment. Nevertheless, agents try to cooperate to reach a common global goal. In this paper, we use a suitable Grothendieck topology and sheaves to model. the agents' local data and their communication. |
Year | DOI | Venue |
---|---|---|
2012 | 10.5220/0003742103310334 | ICAART: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL. 2 |
Keywords | Field | DocType |
Multiage systems,Sheaves,Dynamic cooperation structures | Computer science,Grothendieck topology,Theoretical computer science,Multi-agent system,Artificial intelligence,Machine learning,Global model | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Soboll | 1 | 6 | 2.23 |
Ulrike Golas | 2 | 166 | 12.45 |