Towards XMAS: eXplainability through Multi-Agent Systems


Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi

AI&IoT 2019 – Artificial Intelligence and Internet of Things 2019, pp. 40-53
CEUR Workshop Proceedings 2502, novembre 2019
Sun SITE Central Europe, RWTH Aachen University
Claudio Savaglio, Giancarlo Fortino, Giovanni Ciatto, Andrea Omicini (a cura di)

In the context of the Internet of Things (IoT), intelligent systems (IS) are increasingly relying on Machine Learning (ML) techniques.
Given the opaqueness of most ML techniques, however, humans have to rely on their intuition to fully understand the IS outcomes: helping them is the target of eXplainable Artificial Intelligence (XAI).
Current solutions – mostly too specific, and simply aimed at making ML easier to interpret – cannot satisfy the needs of IoT, characterised by heterogeneous stimuli, devices, and data-types concurring in the composition of complex information structures.
Moreover, Multi-Agent Systems (MAS) achievements and advancements are most often ignored, even when they could bring about key features like explainability and trustworthiness.

Accordingly, in this paper we information elicit and discuss the most significant issues affecting modern IS, and (ii) devise the main elements and related interconnections paving the way towards reconciling interpretable and explainable IS using MAS.

(keywords) MAS; XMAS; XAI; explainability; road map
 @incollection{xmas-aiiot2019,
Author = {Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea and Calvaresi, Davide},
Booktitle = {AI\&IoT 2019 -- Artificial Intelligence and Internet of Things 2019},
Editor = {Savaglio, Claudio and Fortino, Giancarlo and Ciatto, Giovanni and Omicini, Andrea},
Issn = {1613-0073},
Keywords = {MAS; XMAS; XAI; explainability; road map},
Month = nov,
Pages = {40--53},
Publisher = {Sun SITE Central Europe, RWTH Aachen University},
ScopusId = {2-s2.0-85075953890},
Series = {CEUR Workshop Proceedings},
Title = {Towards {XMAS}: e{X}plainability through {M}ulti-{A}gent {S}ystems},
Url-Pdf = {http://ceur-ws.org/Vol-2502/paper3.pdf},
Volume = 2502,
Year = 2019}
 

Riviste & collane

Eventi

  • 1st Workshop "AI & IoT" @ AI*IA 2019 (AI&IoT 2019) — 22/11/2019

Pubblicazione

— autori/autrici

Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi

— a cura di

Claudio Savaglio, Giancarlo Fortino, Giovanni Ciatto, Andrea Omicini

— stato

pubblicato

— tipo

articolo in atti

Sede di pubblicazione

— volume

AI&IoT 2019 – Artificial Intelligence and Internet of Things 2019

— collana

CEUR Workshop Proceedings

— volume

2502

— pagine

40-53

— data di pubblicazione

novembre 2019

URL

PDF originale

Identificatori

— IRIS

11585/707345

— Scholar

16440456382689731727

— Scopus

2-s2.0-85075953890

— print ISSN

1613-0073

BibTeX

— BibTeX ID
xmas-aiiot2019
— BibTeX category
incollection

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