TY  - JOUR 
AU  - Cano, Rosa
AU  - González Arrieta, María Angélica
AU  - De Paz, Juan F.
AU  - Rodríguez González, Sara
PY  - 2009
SN  - 978-3-642-04393-2 (Print) / 978-3-642-04394-9 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/134946
AB  - This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carbon dioxide, and this process is modeled by means of a multiagent system...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - A Multi-agent System to Learn from Oceanic Satellite Image Data
ER  -