| dc.contributor.author | Rodríguez González, Sara | |
| dc.contributor.author | Pérez Lancho, María Belén | |
| dc.contributor.author | Bajo Pérez, Javier | |
| dc.contributor.author | Zato Domínguez, Davinia Carolina | |
| dc.contributor.author | Corchado Rodríguez, Juan Manuel | |
| dc.date.accessioned | 2017-09-06T09:15:05Z | |
| dc.date.available | 2017-09-06T09:15:05Z | |
| dc.date.issued | 2010 | |
| dc.identifier.citation | Hybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 6077, pp. 444-451. | |
| dc.identifier.isbn | 978-3-642-13802-7 (Print) / 978-3-642-13803-4 (Online) | |
| dc.identifier.issn | 0302-9743 (Print) / 1611-3349 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/10366/134944 | |
| dc.description.abstract | Each organization of agents needs to be supported by a coordinated effort that explicitly determines how the agents should be organized and carry out the actions and tasks assigned to them. The interactions of a multi-agent system cannot be related only to the agent and their communication skills, if not that it’s necessary to use the concepts of organizational engineering. This research presents a new global coordination model for an agent organization. The innovation of the model consists of the dynamic and adaptive planning capability to distribute tasks among the agent members of the organization as effectively as possible. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Springer Science + Business Media | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
| dc.subject | Computer Science | |
| dc.title | Self-adaptive Coordination for Organizations of Agents in Information Fusion Environments | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |