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Engineering multi-agent systems anno 2025
University of Genova, Italy.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Catholic University of Leuven, Belgium. (DISA)ORCID iD: 0000-0002-1162-0817
2019 (English)In: Engineering Multi-Agent Systems: 6th International Workshop, EMAS 2018, Stockholm, Sweden, July 14-15, 2018, Revised Selected Papers / [ed] Danny Weyns, Viviana Mascardi & Alessandro Ricci, Springer, 2019, p. 3-16Chapter in book (Refereed)
Abstract [en]

Modern software-intensive systems are increasingly blending cyber, physical, and social elements, demanding higher degrees of autonomy and adaptability than ever before. In combination with the ever growing integration and scale of systems, and the inherent uncertainties modern systems face, the principles from MAS engineering remain particularly attractive for engineering systems in a wide variety of domains today. In this chapter, we reflect on the role and potential of MAS engineering on a selection of key facets that characterize modern software engineering practice. We focus at facets that we believe are important in relation to MAS engineering. Concretely, we look at agile development, Cloud and edge computing, distributed ledgers and blockchain, Cyber-Physical Systems and Internet-of-Things, and finally green computing. For each of these facets we highlight opportunities to EMAS engineering, but also the challenges these facets raise. We conclude with highlighting a number of ethical issues that the engineers of modern software-intensive systems and thus also MAS will face in the years to come. © 2019, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer, 2019. p. 3-16
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11375
Keywords [en]
Multi-agent systems, Software engineering, Blending, Distributed computer systems, Embedded systems, Green computing, Software agents, Agile development, Engineering systems, Ethical issues, Social elements, Software engineering practices, Software intensive systems, Multi agent systems
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-94616DOI: 10.1007/978-3-030-25693-7_1ISI: 000789421900001Scopus ID: 2-s2.0-85069883548ISBN: 9783030256920 (print)ISBN: 9783030256937 (electronic)OAI: oai:DiVA.org:lnu-94616DiVA, id: diva2:1430894
Conference
14 July 2018 through 15 July 2018
Available from: 2020-05-18 Created: 2020-05-18 Last updated: 2022-11-03Bibliographically approved

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