Network management (2nd ed.): a practical perspective
Network management (2nd ed.): a practical perspective
On agent-based software engineering
Artificial Intelligence
Constructing Intelligent Agents Using Java
Constructing Intelligent Agents Using Java
Agents in a Nutshell-A Very Brief Introduction
IEEE Transactions on Knowledge and Data Engineering
Cooperative Multiagent Systems: A Personal View of the State of the Art
IEEE Transactions on Knowledge and Data Engineering
Evaluating Management Decisions via Delegation
Proceedings of the IFIP TC6/WG6.6 Third International Symposium on Integrated Network Management with participation of the IEEE Communications Society CNOM and with support from the Institute for Educational Services
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Agent's paradigms are very popular due to their flexibility, modularity and general applicability to a very wide range of problems. Nowadays, the majority of the agents used in computer networks are passive agents, i.e., the agent has no autonomy, and there is no participation in decision-making actions. In this paper, we present a methodology for agent's development with the employment of artificial intelligence techniques. The methodology has been applied to the baselines development for proactive network management. In preliminary tests, three different recurrent ANNs had been examined; where we have shown that the proposed methodology is adequate to support the active agent's development.