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Agent-Based Modeling and Simulation with Swarm - Hitoshi Iba

Agent-Based Modeling and Simulation with Swarm

(Autor)

Buch | Softcover
317 Seiten
2016
CRC Press (Verlag)
978-1-138-03370-2 (ISBN)
CHF 99,45 inkl. MwSt
Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired optimization.

Each chapter gives an overview of the problem, explores state-of-the-art technology in the field, and discusses multi-agent frameworks. The author describes step by step how to assemble algorithms for generating a simulation model, program, method for visualization, and further research tasks. While the book employs the commonly used Swarm system, readers can model and develop the simulations with their own simulator. To encourage hands-on exploration of emergent systems, Swarm-based software and source codes are available for download from the author’s website.

A thorough overview of multi-agent simulation and supporting tools, this book shows how this type of simulation is used to acquire an understanding of complex systems and artificial life. It carefully explains how to construct a simulation program for various applications.

Hitoshi Iba

Introduction. Evolutionary Methods and Evolutionary Computation. Multi-Agent Simulation Based on Swarm. Evolutionary Simulation. Ant Colony-Based Simulation. Particle Swarm Simulation. Cellular Automata Simulation. Conclusion. Appendices. References. Index.

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Studies in Informatics Series
Zusatzinfo 35 Tables, black and white; 11 Illustrations, color; 192 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 494 g
Themenwelt Informatik Theorie / Studium Algorithmen
Technik Elektrotechnik / Energietechnik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-138-03370-7 / 1138033707
ISBN-13 978-1-138-03370-2 / 9781138033702
Zustand Neuware
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