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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Engineering Multi-Agent Systems/ edited by Amal El Fallah-Seghrouchni, Alessandro Ricci, Tran Cao Son.
其他題名:	5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers /
其他作者:	El Fallah-Seghrouchni, Amal.
面頁冊數:	X, 199 p. 54 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-91899-0
ISBN:	9783319918990

Engineering Multi-Agent Systems = 5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers /
Engineering Multi-Agent Systems5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers /[electronic resource] :edited by Amal El Fallah-Seghrouchni, Alessandro Ricci, Tran Cao Son. - 1st ed. 2018. - X, 199 p. 54 illus.online resource. - Lecture Notes in Artificial Intelligence ;10738. - Lecture Notes in Artificial Intelligence ;9285.

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.

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.

ISBN: 9783319918990

Standard No.: 10.1007/978-3-319-91899-0doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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