| dc.creator | Terán,Juan | |
| dc.creator | Aguilar,José L | |
| dc.creator | Cerrada,Mariela | |
| dc.date | 2014-08-01 | |
| dc.date.accessioned | 2023-09-25T18:35:19Z | |
| dc.date.available | 2023-09-25T18:35:19Z | |
| dc.identifier | http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002014000200008 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8838481 | |
| dc.description | This paper aims to present a learning model for coordination schemes in Multi-Agent Systems (MAS) based on Cultural Algorithms (CA). In this model, the individuals (one of the CA components) are the different conversations that may occur in any multi-agent systems, and the coordination scheme learned is at the level of the way to perform the communication protocols into the conversation. A conversation can has sub-conversations, and the sub-conversations and/or conversations are identified with a particular type of conversation associated with a certain interaction patterns. The interaction patterns use the coordination mechanisms existing in the literature. In order to simulate the proposed learning model, we develop a computational tool called CLEMAS, which has been used to apply the model to a case of study in industrial automation, related to a Faults Management System based on Agents | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Centro Latinoamericano de Estudios en Informática | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | CLEI Electronic Journal v.17 n.2 2014 | |
| dc.subject | Cultural Algorithms | |
| dc.subject | Coordination | |
| dc.subject | Multi-Agent Systems | |
| dc.title | Collective Learning in Multi-Agent Systems Based on Cultural Algorithms | |
| dc.type | info:eu-repo/semantics/article | |
