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  1. Pubblicazioni

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

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Citazione:
Monitoring patients with hypoglycemia using self-adaptive protocol-driven agents: A case study / Ferrando, Angelo; Ancona, Davide; Mascardi, Viviana. - 10093:(2016), pp. 39-58. ( 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016 Singapore 9 maggio 2016) [10.1007/978-3-319-50983-9_3].
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.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Hypoglycemia in newborns; Medical protocol execution; Protocol-driven agents; Remote patient monitoring; Trace expressions; Theoretical Computer Science; Computer Science (all)
Elenco autori:
Ferrando, Angelo; Ancona, Davide; Mascardi, Viviana
Autori di Ateneo:
FERRANDO Angelo
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1331823
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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