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Título:
Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection edited by Javier Bajo Perez...[et al.].
Otros autores:
| Moreno, María N, ed.  |  Ahrndt, Sebastian, ed.  |  Navarro, Elena M, ed.  |  Adam, Emmanuel, ed.  |  Ortega, Alfonso, ed.  |  Campbell, Andrew, ed.  |  Mathieu, Philippe, ed.  |  Corchado Rodríguez, Juan M, ed.  |  Bajo Perez, Javier, ed.  |  Julián, Vicente, ed.  | 
Editado por:
Springer International Publishing :;Imprint: Springer,
Año de publicación:
2014.
Lugar de publicación:
Cham :
Descripción física:
xii, 184 p. : il.
ISBN:
9783319074764
Colección:
Advances in Intelligent Systems and Computing,
Materias:
| Artificial Intelligence (incl. Robotics). | Computational intelligence. | Engineering. |
Notas:
Special Sessions on Multi-Agent Systems and Ambient Intelligence (MASMAI) -- Special Session on Explaining Agents (SEA) -- Special Session on Web Mining and Recommender systems (WebMiRes).- Special Session on  Intelligent Educational Systems (SSIES).
Sumario:
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2014 special sessions: Agents Behaviours and Artificial Markets (ABAM), Agents and Mobile Devices (AM), Bio-Inspired and Multi-Agents Systems: Applications to Languages (BioMAS), Multi-Agent Systems and Ambient Intelligence (MASMAI), Self-Explaining Agents (SEA), Web Mining and Recommender systems (WebMiRes) and Intelligent Educational Systems (SSIES).
URL:
http://dx.doi.org/10.1007/978-3-319-07476-4
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