Logic-based technologies for multi-agent systems: a systematic literature review

Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computer-scientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding....

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Published inAutonomous agents and multi-agent systems Vol. 35; no. 1
Main Authors Calegari, Roberta, Ciatto, Giovanni, Mascardi, Viviana, Omicini, Andrea
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2021
Springer Nature B.V
Subjects
Agents (artificial intelligence)
Artificial Intelligence
Computer Science
Computer Systems Organization and Communication Networks
Current Trends in Research on Software Agents and Agent-Based Software Development
Intelligent systems
Literature reviews
Logic
Multiagent systems
Software Engineering/Programming and Operating Systems
Systematic review
User Interfaces and Human Computer Interaction
Logic-based technologies
SLR
MAS
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Summary:Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computer-scientists 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.
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ISSN:1387-2532
1573-7454
DOI:10.1007/s10458-020-09478-3