Evolutionary Multi-Agent Systems

From Inspirations to Applications

Aleksander Byrski author Marek Kisiel-Dorohinicki author

Format:Paperback

Publisher:Springer International Publishing AG

Published:30th Apr '18

Currently unavailable, and unfortunately no date known when it will be back

Evolutionary Multi-Agent Systems cover

This insightful book explores the development of evolutionary multi-agent systems, showcasing their effectiveness and optimal solutions in agent-based computing.

The book titled Evolutionary Multi-Agent Systems delves into the realm of agent-based computing, focusing specifically on evolutionary multi-agent systems (EMAS). These systems have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. The text provides readers with essential background information and a thorough description of this innovative computing paradigm, highlighting key experimental results that illustrate its effectiveness.

In Evolutionary Multi-Agent Systems, readers will find a rich discussion that emphasizes the efficient implementation of computing frameworks designed for the development of EMAS and related systems. The book not only covers practical applications but also presents a detailed formal model that underpins these systems. This dual approach ensures that both theoretical and practical aspects are well-represented, catering to a broad audience of researchers and practitioners.

Moreover, the theoretical insights presented in the book demonstrate that utilizing EMAS consistently leads to optimal solutions. This aspect is crucial for those looking to enhance their understanding of agent-based computing and its applications in various fields. By rounding out the discussion with comprehensive coverage of both foundational concepts and advanced implementations, Evolutionary Multi-Agent Systems serves as a valuable resource for anyone interested in this dynamic area of study.

ISBN: 9783319846378

Dimensions: unknown

Weight: 454g

210 pages

Softcover reprint of the original 1st ed. 2017