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Improving Functionalities in a Multi-agent
Architecture for Ocean Monitoring
Fernando de la Prieta, Oscar Gil, Carolina Zato,
Beatriz Martín, and Alberto García
*
Abstract. This paper presents an improved version of 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. The CBR-agents proposed in this paper 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.
Keywords: Multi-Agent Systems, Intelligent agents, Distributed Computing.
1 Introduction
Multi-agent systems are very appropriate for resolving problems in a distributed
way [15]. Agents have a set of characteristics, such as autonomy, reasoning, reac-
tivity, social abilities, pro-activity, mobility, organization, etc. which allow them
to cover several needs for dynamic environments. Agent and multi-agent systems
have been successfully applied to several scenarios, such as education, culture,
entertainment, medicine, robotics, etc. [3], [21]. Moreover, the continuous ad-
vancement in mobile computing makes it possible to obtain information about the
context and also to react physically to it in more innovative ways [15]. Neverthe-
less, complex systems need higher adaptation, learning and autonomy levels than
pure BDI model [1]. This can be achieved by modelling the agents’ characteristics
[23] to provide them with mechanisms that allow solving complex problems and
autonomous learning [8].
One of the factors of greatest concern in climactic behaviour is the quantity of
carbon dioxide present in the atmosphere. Carbon dioxide is one of the greenhouse Fernando de la Prieta
.
Oscar Gil
.
Carolina Zato
.
Beatriz Martín
.
Alberto García
Facultad de Ciencias
Universidad de Salamanca
Plaza de la Merced s/n, 37008, Salamanca, Spain
e-mail: {fer,oscar.gil,carol_zato,eureka,alberto_gar}@usal.es