Logic-based Technologies for Multi-agent Systems: A Systematic Literature Review


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Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini

Autonomous Agents and Multi-Agent Systems 35(1), pages 1:1–1:67
2021

Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computerscientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI” – in particular, logic-based ones will take place in the next few years.

On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies, which characterised their early days, might open new ways to engineer explainable intelligent systems. This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance.

Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones.

(keywords) SLR; Logic-based Technologies;  MAS

Collection ”Current Trends in Research on Software Agents and  Agent-Based Software Development”

Journals & Series

Publication

— authors

— editors

Federico Bergenti, Matteo Baldoni, Michael Winikoff, Amal El Fallah Seghrouchni

— status

published

— sort

article in journal

— publication date

2021

— journal

Autonomous Agents and Multi-Agent Systems

— volume

35

— issue

1

— pages

1:1–1:67

— article no.

1

— number of pages

67

URLs

original page  |  original PDF

identifiers

— DOI

10.1007/s10458-020-09478-3

— DBLP

journals/aamas/CalegariCMO21

— IRIS

11585/775368

— Scholar

3394967429087589940

— Scopus

2-s2.0-85092892414

— Semantic Scholar

225142049

— WoS / ISI

000579434600001

— print ISSN

1387-2532

— online ISSN

1573-7454

notes

— note

Collection ”Current Trends in Research on Software Agents and  Agent-Based Software Development”

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