Agent-Based Modeling and Simulation with Swarm

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A01=Hitoshi Iba
Author_Hitoshi Iba
bio-inspired computation
Category=UM
Category=UYM
Category=UYQ
cellular automata methods
complex systems modeling
computational biology
emergent behavior simulation techniques
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
evolutionary algorithms
swarm intelligence applications

Product details

  • ISBN 9781138033702
  • Weight: 600g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Nov 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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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