Distributed Prediction of Carbon Dioxide Exchange Using CBR-BDI Agents.

Abstract

This paper presents a model constructed for the evaluation of the interaction of the atmosphere and the ocean. The work here presented focuses in the development of an agent based architecture that has been constructed for the evaluation of the interaction, between the atmosphere and the ocean waters, of several parameters. Such evaluation needs to be made continuously in a dynamic environment and therefore requires the use of autonomous models that evolve with the time. The proposed architecture incorporates CBR-agents whose aim is to monitor the evolution of the interaction of parameters and facilitate the creation of an explanation model. The system has been tested and this paper presents the results obtained.