Agent-Based Modeling and Simulation with Swarm

Name: Agent-Based Modeling and Simulation with Swarm
Brand: Taylor & Francis Ltd
Price: 113.75 AUD
Availability: BackOrder

By: Hitoshi Iba

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Paperback | 8 November 2016 | Edition Number 1

At a Glance

Paperback
317 Pages

Dimensions(cm)
23.4 x 15.6 x 2.5

Paperback

RRP $124.00

$113.75

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Available for Backorder. We will order this from our supplier however there isn't a current ETA.

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.

Industry Reviews

"The book is very readable and contains great illustrations. Each chapter summarizes the problems addressed and the current state of the art, and eases into a detailed discussion on why agent-based modeling sheds new light on the topic at hand. The author performs a difficult task gracefully: he explains just enough for the reader to grasp the essence of a problem, while the bulk of the chapter is spent demonstrating the relevance of agent-based modeling in addressing it."

-Klaus K. Obermeier, PhD, in Computing Reviews

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