Monitoring patients with hypoglycemia using self-adaptive protocol-driven agents: A case study

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Abstract

Trace expressions are a compact and expressive formalism for specifying complex patterns of actions. In this paper they have been used to model medical protocols and to generate agents able to execute them, also adapting to the context dynamics. To this aim, we extended our previous work on “self-adaptive agents driven by interaction protocols” by allowing agents to be guided by trace expressions instead of the less concise and less powerful “constrained global types”. This extension required a limited effort, which is an advantage of the previous work as it is relatively straightforward to adapt it to accommodate new requirements arising in sophisticated domains.

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Ferrando, A., Ancona, D., & Mascardi, V. (2016). Monitoring patients with hypoglycemia using self-adaptive protocol-driven agents: A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10093 LNAI, pp. 39–58). Springer Verlag. https://doi.org/10.1007/978-3-319-50983-9_3

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