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Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series)

Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series)

Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies
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Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series) Hardback - 2013

by Iba, Hitoshi

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Details

  • Title Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series)
  • Author Iba, Hitoshi
  • Binding Hardback
  • Condition New
  • Pages 326
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2013-06-24
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 19660356-n
  • ISBN 9781466562349 / 146656234X
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9.3 x 6.1 x 0.8 in (23.62 x 15.49 x 2.03 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Swarm intelligence, Multiagent systems
  • Library of Congress Catalogue Number 2013427850
  • Dewey Decimal Code 006.3
  • Quantity available 5

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Reader reviews for Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series)

From the publisher

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.

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