Evolutionary Multi-Agent Systems: From Inspirations to Applications: 680 - Brossura

Libro 194 di 538: Studies in Computational Intelligence

Byrski, Aleksander; Kisiel-Dorohinicki, Marek

 
9783319846378: Evolutionary Multi-Agent Systems: From Inspirations to Applications: 680

Sinossi

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results.

Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results.

Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783319513874: Evolutionary Multi-agent Systems: From Inspirations to Applications: 680

Edizione in evidenza

ISBN 10:  3319513877 ISBN 13:  9783319513874
Casa editrice: Springer-Nature New York Inc, 2017
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