About: In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap
Creator	Calvaresi, Davide Giorgini, Paolo Schumacher, Michael Najjar, Amro Alzetta, Francesco
source	PMC
abstract	In the race for automation, distributed systems are required to perform increasingly complex reasoning to deal with dynamic tasks, often not controlled by humans. On the one hand, systems dealing with strict-timing constraints in safety-critical applications mainly focused on predictability, leaving little room for complex planning and decision-making processes. Indeed, real-time techniques are very efficient in predetermined, constrained, and controlled scenarios. Nevertheless, they lack the necessary flexibility to operate in evolving settings, where the software needs to adapt to the changes of the environment. On the other hand, Intelligent Systems (IS) increasingly adopted Machine Learning (ML) techniques (e.g., subsymbolic predictors such as Neural Networks). The seminal application of those IS started in zero-risk domains producing revolutionary results. However, the ever-increasing exploitation of ML-based approaches generated opaque systems, which are nowadays no longer socially acceptable—calling for eXplainable AI (XAI). Such a problem is exacerbated when IS tend to approach safety-critical scenarios. This paper highlights the need for on-time explainability. In particular, it proposes to embrace the Real-Time Beliefs Desires Intentions (RT-BDI) framework as an enabler of eXplainable Multi-Agent Systems (XMAS) in time-critical XAI.
has issue date	2020-06-04(xsd:dateTime)
bibo:doi	10.1007/978-3-030-51924-7_3
has license	no-cc
sha1sum (hex)	d678866a970f5457766d35891b6bffa571491f4d
schema:url	https://doi.org/10.1007/978-3-030-51924-7_3
resource representing a document's title	In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap
has PubMed Central identifier	PMC7338180
schema:publication	Explainable, Transparent Autonomous Agents and Multi-Agent Systems
resource representing a document's body	covid:d678866a970f5457766d35891b6bffa571491f4d#body_text
is schema:about of	named entity 'race' named entity 'environment' named entity 'safety-critical' named entity 'generated' named entity 'predictability' named entity 'DYNAMIC' named entity 'PERFORM' named entity 'XAI' named entity 'EFFICIENT' named entity 'RISK' named entity 'CONTROLLED' named entity 'PREDETERMINED' named entity 'SYSTEMS' named entity 'REASONING' named entity 'HUMANS' named entity 'RACE' named entity 'PRODUCING' named entity 'TECHNIQUES' named entity 'APPLICATIONS' named entity 'REAL-TIME' named entity 'CONTROLLED BY' named entity 'PAPER' named entity 'TIMING' named entity 'focused' named entity 'automation' named entity 'systems' named entity 'controlled' named entity 'time-critical' named entity 'Machine Learning' named entity 'Intelligent Systems' named entity 'Neural Networks' named entity 'automation' named entity 'real-time' named entity 'Intelligent Systems' named entity 'distributed systems' named entity 'time-critical' named entity 'round-robin' named entity 'RTS' named entity 'paradigm' named entity 'EDF' named entity 'RTS' named entity 'real-time software' named entity 'Java' named entity 'RTS' named entity 'BDI' named entity 'telerehabilitation' named entity 'RTS' named entity 'cause-effect relationship' named entity 'RTS' named entity 'UAV' named entity 'RTS' named entity 'BDI' named entity 'making decisions' named entity 'safety-critical' named entity 'safety-critical' named entity 'GDPR' named entity 'BDI' named entity 'MAS' named entity 'EDF' named entity 'RTS' named entity 'RTS' named entity 'interaction techniques' named entity 'make decisions' named entity 'algorithm' named entity 'RTS' named entity 'worst-case execution time' named entity 'MAS' named entity 'FIPA' named entity 'Unmanned Aerial Vehicles' named entity 'RTS' named entity 'safety-critical' named entity 'telerehabilitation' named entity 'MAS' named entity 'BDI' named entity 'Telerehabilitation' named entity 'multi-agent' named entity 'practical reasoning' named entity 'make decisions' named entity 'ACL'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software