Abstract
Human-machine teaming (HMT) is a promising paradigm to approach situations in which humans and autonomous systems must closely collaborate. This paper describes SAIL, a software framework for implementing HMT-concepts. The approach of SAIL is to integrate existing autonomous systems in a framework, that serves as a social layer between autonomous systems and human team members. The social layer contains reusable modules to provide social capabilities enabling teamwork. The players and modules in the framework communicate via a human-readable communication language that has been developed for HMT concepts. We demonstrate the SAIL framework for a proof of concept task where a human operator is teaming up with a swarm of drones.
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Van der Vecht, B., Van Diggelen, J., Peeters, M., Barnhoorn, J., Van der Waa, J.: SAIL: a social artificial intelligence layer for human-machine teaming. In: PAAMS 2018 (2018)
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van der Vecht, B., van Diggelen, J., Peeters, M., van Staal, W., van der Waa, J. (2018). The SAIL Framework for Implementing Human-Machine Teaming Concepts. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_39
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DOI: https://doi.org/10.1007/978-3-319-94580-4_39
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