Publications » Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS

Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS

Andrea Omicini, Roberta Calegari
Pervasiveness of ICT resources along with the promise of ubiquitous intelligence is pushing hard both our demand and our fears of AI: demand mandates for the ability to inject (micro) intelligence ubiquitously, fears compel the behaviour of intelligent systems to be observable, explainable, and accountable. Whereas the first wave of the new “AI Era” was mostly heralded by sub-symbolic approaches, features like explainability are better provided by symbolic techniques. In this paper we focus on logic-based approaches, and discuss their potential in pervasive scenarios like the IoT and open (M)MAS along with our latest results in the field.
Keywords: Pervasive system, MMAS, Micro-intelligence, Logic-based, LPaaS
Massively Multi-Agent Systems II, Ch. 2, Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 11422, pages 21--35, May 2019.
Donghui Lin, Toru Ishida, Franco Zambonelli, Itsuki Noda (eds.), Springer
International Workshop, MMAS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers
@incollection{microintelligencelp-mmasII,
	Author = {Omicini, Andrea and Calegari, Roberta},
	Booktitle = {Massively Multi-Agent Systems II},
	Chapter = 2,
	Doi = {10.1007/978-3-030-20937-7_2},
	Editor = {Lin, Donghui and Ishida, Toru and Zambonelli, Franco and Noda, Itsuki},
	Isbn = {978-3-030-20937-7},
	Keywords = {pervasive system, MMAS, micro-intelligence, logic-based, LPaaS},
	Month = may,
	Note = {International Workshop, MMAS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers},
	Pages = {21--35},
	Publisher = {Springer},
	ScopusId = {2-s2.0-85066143737},
	Series = {Lecture Notes in Computer Science},
	Subseries = {Lecture Notes in Artificial Intelligence},
	Title = {Injecting (Micro)Intelligence in the {IoT}: Logic-based Approaches for {(M)MAS}},
	Url = {http://link.springer.com/10.1007/978-3-030-20937-7_2},
	Volume = 11422,
	Year = 2019}