Name
Title | ||
|---|---|---|
Emergent Organization of Interspecies Communication in Q-Learning Artificial Organisms |
Abstract | ||
|---|---|---|
Recently in the fields of artificial life and robotics, several researchers have attempted to let the populations of artificial organisms or real robots synthesize some intra- or inter-species cooperative relationships. Here taking the symbiont-finding problem as such a problem domain, we show how multiple populations of Q-learning artificial organisms synthesize symbiotic behavior needed to achieve their goals effectively. Optimality of thus synthesized behavior and its organization processes are also analyzed. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/3-540-59496-5_314 | ECAL |
Keywords | Field | DocType |
q-learning artificial organisms,emergent organization,interspecies communication,artificial life | Artificial life,Interspecies communication,Emergent organization,Problem domain,Computer science,Q-learning,Artificial intelligence,Robot,Robotics,Communications protocol | Conference |
Volume | ISBN | Citations |
929 | 3-540-59496-5 | 7 |
PageRank | References | Authors |
1.41 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norihiko Ono | 1 | 94 | 9.45 |
| T. Ohira | 2 | 27 | 4.14 |
| Adel Torkaman Rahmani | 3 | 139 | 19.77 |