Name
Abstract | ||
|---|---|---|
In this paper we describe a model in which artificial evolution is employed to design neural mechanisms that control the motion of two autonomous robots required to communicate through sound to perform a common task. The results of this work are a "proof-of-concept": they demonstrate that evolution can exploit a very simple sound communication system, to design the mechanisms that allow the robots cooperate by employing acoustic interactions. The analysis of the evolved strategies uncover the basic properties of the communication protocol. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74913-4_40 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
acoustic communication,simple sound communication system,basic property,autonomous robot,communication protocol,artificial evolution,acoustic interaction,common task,neural mechanism,proof of concept | Evolutionary algorithm,Computer science,Communications system,Exploit,Artificial intelligence,Robot,Autonomous robot,Dynamic neural network,Communications protocol | Conference |
Volume | ISSN | Citations |
4648 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elio Tuci | 1 | 425 | 42.24 |
| Christos Ampatzis | 2 | 92 | 8.32 |