2026-09-15T08:03:28Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1344122025-04-30T20:37:23Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243

Bajo Pérez, Javier De Paz, Juan F. Rodríguez González, Sara González Arrieta, María Angélica 2010 The exchange of CO_{2} between the atmosphere and the ocean surface is a problem that has become increasingly important due to its impact on climatic behavior. Given the large quantity of sources of information available for studying the CO_{2} problem, it is necessary to provide innovative solutions that facilitate the automation of certain tasks and incorporate decision support systems to obtain a better understanding of this phenomenon. This paper presents a multiagent architecture aimed at providing solutions for monitoring the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carbon dioxide. This process is can be modeled by a multiagent system with advanced learning and adaption capabilities. The proposed multiagent architecture incorporates CBR-agents that integrate novel strategies that both monitor the parameters that affect the interaction, and facilitate the creation of models. The system was tested and this paper presents the results obtained. application/pdf http://hdl.handle.net/10366/134412 en IOS Press Multi-Agent System to Monitor Oceanic Environments. info:eu-repo/semantics/article TEXT Gredos. Repositorio Documental de la Universidad de Salamanca Hispana