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Engineering Multi-Agent Systems: State of Affairs and the Road Ahead

Viviana Mascardi 1 Danny Weyns 2 Alessandro Ricci 3 Clara Benac Earle 4 Arthur Casals 5, 6 Moharram Challenger 7 Amit Chopra 8 Andrei Ciortea 9 Louise Dennis 10 Álvaro Fernández Díaz 4 Amal El Fallah-Seghrouchni 6 Angelo Ferrando 11 Lars-Åke Fredlund 4 Eleonora Giunchiglia 12 Zahia Guessoum 6 Akin Günay 8 Koen Hindriks 13 Carlos Iglesias 4 Brian Logan 14 Timotheus Kampik 15 Geylani Kardas 7 Vincent Koeman 13 John Larsen 16 Simon Mayer 17, 18 Tasio Méndez 4 Juan Nieves 19 Valeria Seidita 20 Baris Tezel 16 László Varga 21 Michael Winikoff 22
Abstract : The continuous integration of software-intensive systems together with the ever-increasing computing power offer a breeding ground for intelligent agents and multi-agent systems (MAS) more than ever before. Over the past two decades, a wide variety of languages, models, techniques and methodologies have been proposed to engineer agents and MAS. Despite this substantial body of knowledge and expertise, the systematic engineering of large-scale and open MAS still poses many challenges. Researchers and engineers still face fundamental questions regarding theories, architectures, languages, processes, and platforms for designing, implementing, running, maintaining, and evolving MAS. This paper reports on the results of the 6th International Workshop on Engineering Multi-Agent Systems (EMAS 2018, 14th-15th of July, 2018, Stockholm, Sweden), where participants discussed the issues above focusing on the state of affairs and the road ahead for researchers and engineers in this area.
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Viviana Mascardi, Danny Weyns, Alessandro Ricci, Clara Benac Earle, Arthur Casals, et al.. Engineering Multi-Agent Systems: State of Affairs and the Road Ahead. Software Engineering Notes, Association for Computing Machinery, 2019, 44 (1), pp.18-28. ⟨10.1145/3310013.3322175⟩. ⟨hal-02893378⟩

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