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Case-based reasoning
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ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
JADE: a FIPA2000 compliant agent development environment
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Contracting agents: legal personality and representation
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Ambient Intelligence—the Next Step for Artificial Intelligence
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Spiking neural network and wavelets for hiding iris data in digital images
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SHOMAS: Intelligent guidance and suggestions in shopping centres
Applied Soft Computing
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A new autonomous agent approach for the simulation of pedestrians in urban environments
Integrated Computer-Aided Engineering
Evaluation and monitoring of the air-sea interaction using a CBR-Agents approach
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Map: a scalable monitoring system for dependable 802.11 wireless networks
IEEE Wireless Communications
Multi agent systems: An example of power system dynamic reconfiguration
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Computers and Electronics in Agriculture
A scalable multiagent system architecture for interactive applications
Science of Computer Programming
Construction of ontologies from object-oriented database models
Integrated Computer-Aided Engineering
A distributed visualization system for crowd simulations
Integrated Computer-Aided Engineering
Agent-based cloud workflow execution
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Intelligent supervisory control system for home devices using a cyber physical approach
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Teleoperation of multi-agent systems with nonuniform control input delays
Integrated Computer-Aided Engineering
An intelligent route management system for electric vehicle charging
Integrated Computer-Aided Engineering
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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.