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


Andrea Omicini, Roberta Calegari

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
Springer
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.

(keywords) Pervasive system, MMAS, Micro-intelligence, Logic-based, LPaaS 

Journals & Series

Events

  • International Workshop on Massively Multi-Agent Systems (MMAS 2018) — 14/07/2018

Publication

— authors

— editors

Donghui Lin, Toru Ishida, Franco Zambonelli, Itsuki Noda

— status

published

— sort

paper in proceedings

— publication date

May 2019

— volume

Massively Multi-Agent Systems II

— series

Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence

— volume

11422

— chapter

2

— pages

21-35

URLs

original page

identifiers

— DOI

10.1007/978-3-030-20937-7_2

— DBLP

conf/mmas/OmiciniC18

— IRIS

11585/687499

— Scopus

2-s2.0-85066143737

— print ISBN

978-3-030-20937-7

notes

— note

International Workshop, MMAS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers

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