1.

Record Nr.

UNINA9910349428303321

Titolo

Engineering Multi-Agent Systems : 5th International Workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017, Revised Selected Papers / / edited by Amal El Fallah-Seghrouchni, Alessandro Ricci, Tran Cao Son

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-91899-0

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (X, 199 p. 54 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 10738

Disciplina

620

Soggetti

Artificial intelligence

Software engineering

Computer programming

Computer communication systems

Mathematical logic

Computers and civilization

Artificial Intelligence

Software Engineering

Programming Techniques

Computer Communication Networks

Mathematical Logic and Formal Languages

Computers and Society

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.