Engineering Multi-Agent Systems 5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers /

This book constitutes the revised and selected papers from the 5th International Workshop on Engineering Multi-Agent Systems held in Sao Paulo, Brazil, in May 2018, in conjunction with AAMAS 2018. The 11 full papers presented in this volume were carefully reviewed and selected from 18 submissions. T...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: El Fallah-Seghrouchni, Amal (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ricci, Alessandro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Son, Tran Cao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Lecture Notes in Artificial Intelligence ; 10738
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Engineering Multi-Agent Systems  |h [electronic resource] :  |b 5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers /  |c edited by Amal El Fallah-Seghrouchni, Alessandro Ricci, Tran Cao Son. 
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505 0 |a Cross-fertilisation of ideas and experiences in the various fields with the aim to enhance knowledge and expertise in MAS engineering -- Improving the state-of-the-art -- Defining new directions for MAS engineering-. Investigating how established methodologies for engineering and large-scale and open MAS can be adapted. 
520 |a This book constitutes the revised and selected papers from the 5th International Workshop on Engineering Multi-Agent Systems held in Sao Paulo, Brazil, in May 2018, in conjunction with AAMAS 2018. The 11 full papers presented in this volume were carefully reviewed and selected from 18 submissions. The book contains also the best paper of the workshop that has been published previously in another LNCS volume. The EMAS workshop focusses on the cross-fertilisation of ideas and experiences in the various fields with the aim to enhance knowledge and expertise in MAS engineering , to improve the state-of-the-art, to define new directions for MAS engineering, to investigate how established methodologies for engineering and large-scale and open MAS can be adapted. 
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