Agent-Based Explanations in AI: Towards an Abstract Framework


Giovanni Ciatto, Michael I. Schumacher, Andrea Omicini, Davide Calvaresi

Explainable, Transparent Autonomous Agents and Multi-Agent Systems, pages 3-20
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 12175,  2020
Springer, Cham
Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling (eds.)
Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9–13, 2020, Revised Selected Papers

Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machine Learning (ML) predictors more interpretable or explainable. Unfortunately, researchers are struggling to converge towards an unambiguous definition of notions such as interpretation or explanation—which are often (and mistakenly) used interchangeably. Furthermore, in spite of the sound metaphors that Multi-Agent System (MAS) could easily provide to address such a challenge, an agent-oriented perspective on the topic is still missing. Thus, this paper proposes an abstract and formal framework for XAI-based MAS, reconciling notions and results from the literature.

(keywords) Explainable artificial intelligence; Multi-agent systems; Understandability; Explainability; Interpretability 
 @incollection{agentbasedxai-extraamas2020,
author = {Ciatto, Giovanni and Schumacher, Michael I. and Omicini, Andrea and Calvaresi, Davide},
booktitle = {Explainable, Transparent Autonomous Agents and Multi-Agent Systems},
dblpid = {conf/atal/CiattoSOC20},
doi = {10.1007/978-3-030-51924-7_1},
editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Fr{\"a}mling, Kary},
irisid = {11585/7659520},
isbn = {978-3-030-51923-0},
isbn-online = {978-3-030-51924-7},
keywords = {Explainable artificial intelligence; Multi-agent systems; Understandability; Explainability; Interpretability},
note = {Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9--13, 2020, Revised Selected Papers},
numpages = 18,
pages = {3--20},
publisher = {Springer, Cham},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Agent-Based Explanations in {AI}: Towards an Abstract Framework},
url = {http://link.springer.com/chapter/10.1007/978-3-030-51924-7_1},
volume = 12175,
year = 2020

Journals & Series

Publications

Events

  • 2nd International Workshop on EXplainable TRansparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS 2020) — 09/05/2020

Publication

— authors

Giovanni Ciatto, Michael I. Schumacher, Andrea Omicini, Davide Calvaresi

— editors

Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling

— status

published

— sort

paper in proceedings

Venue

— volume

Explainable, Transparent Autonomous Agents and Multi-Agent Systems

— series

Lecture Notes in Computer Science

— volume

12175

— pages

3-20

— publication date

2020

URLs

original page  |  original PDF

Identifiers

— DOI

10.1007/978-3-030-51924-7_1

— DBLP

conf/atal/CiattoSOC20

— IRIS

11585/765952

— Scopus

2-s2.0-85088588789

— WoS / ISI

000695272300001

— print ISBN

978-3-030-51923-0

— online ISBN

978-3-030-51924-7

BibTeX

— BibTeX ID
agentbasedxai-extraamas2020
— BibTeX category
incollection

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