Multi-agent Systems (MAS) are groups of autonomous agents that act in the same environment, competing or collaborating to achieve individual or collective goals. Such systems can be integrated into embedded devices to perform tasks that control hardware. The main challenges encountered between Embedded MAS are the connectionless protocols some IoT middleware use for agent communication and the lack of security in transferring messages over the network. Therefore, it is essential to use efficient, safe, and reliable means of communication. This work proposes a connection-oriented communication architecture using secure channels provided by network protocols in the application layer. This work contributes to the advancement of MAS by addressing the integration of email protocols and seeking the development of a customized agent architecture based on the Jason framework to enable secure and simplified human-agent interaction.

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Human and BDI-Agent Interaction via KQML Messages over IMAP and SMTP

  • Nilson Mori Lazarin,
  • João Pedro Bernardo de Souza,
  • Carlos Eduardo Pantoja,
  • Tielle Alexandre,
  • Jose Viterbo

摘要

Multi-agent Systems (MAS) are groups of autonomous agents that act in the same environment, competing or collaborating to achieve individual or collective goals. Such systems can be integrated into embedded devices to perform tasks that control hardware. The main challenges encountered between Embedded MAS are the connectionless protocols some IoT middleware use for agent communication and the lack of security in transferring messages over the network. Therefore, it is essential to use efficient, safe, and reliable means of communication. This work proposes a connection-oriented communication architecture using secure channels provided by network protocols in the application layer. This work contributes to the advancement of MAS by addressing the integration of email protocols and seeking the development of a customized agent architecture based on the Jason framework to enable secure and simplified human-agent interaction.