Name
Abstract | ||
|---|---|---|
The Naming Game (NG) describes the agreement dynamics of a population of
agents that interact locally in a pairwise fashion. In recent years,
statistical physics tools and techniques have greatly contributed to shed light
on its rich phenomenology, pointing out the connection between the microscopic
rules and the observed global dynamics. Here we investigate in details the role
played by the way in which the two agents update their states after an
interaction. We show that slightly modifying the NG rules in terms of which
agent performs the update in given circumstances (i.e. after a success) can
either alter dramatically the overall dynamics or leave it qualitatively
unchanged. We understand analytically the first case by casting the model in
the broader framework of a generalized NG. As for the second case, on the other
hand, we note that the modified rule reproducing the main features of the usual
NG corresponds in fact to a simplification of it consisting in the elimination
of feedback between the agents. This allows us to introduce and study a very
natural broadcasting scheme on networks that can be potentially relevant for
different applications, such as the design and implementation of autonomous
sensor networks, as pointed out in the recent literature. |
Year | Venue | Keywords |
|---|---|---|
2010 | Clinical Orthopaedics and Related Research | statistical physics,sensor network |
Field | DocType | Volume |
Broadcasting,Computer science,Theoretical computer science,Multimedia | Journal | abs/1009.4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Baronchelli | 1 | 465 | 45.58 |