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

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Donghui Lin, Toru Ishida, Franco Zambonelli, Itsuki Noda (eds.)
Massively Multi-Agent Systems II, chapter 2, pages 21-35
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 11422
May 2019

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.

keywordsPervasive system, MMAS, Micro-intelligence, Logic-based, LPaaS
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page_white_powerpointInjecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS (MMAS 2018, 14/07/2018) — Andrea Omicini (Andrea Omicini, Roberta Calegari)