Embedded artificial intelligence in Internet of Things (IoT) devices is presented as an option to reduce connectivity dependence, allowing decision-making directly at the edge computing layer.

The Multi-agent Systems (MAS) embedded into IoT devices enables, in addition to the ability to perceive and act in the environment, new characteristics like pro-activity, deliberation, and collaboration capabilities to these devices.

A few new frameworks and extensions enable the construction of agent-based IoT devices. However, no framework allows constructing them with hardware control, adaptability, and fault tolerance, besides agents’ communicability and mobility.

This project presents an extension of the Jason framework for developing Embedded MAS with BDI agents capable of controlling hardware, communicating, and moving between IoT devices capable of dealing with fault tolerance.

• BRACIS 2023 (Full paper) - A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems

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Pantoja, C.E., Jesus, V.S.d., Lazarin, N.M., Viterbo, J. (2023). A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems. In: Naldi, M.C., Bianchi, R.A.C. (eds) Intelligent Systems. BRACIS 2023. Lecture Notes in Computer Science(), vol 14195. Springer, Cham. https://doi.org/10.1007/978-3-031-45368-7_25