Description
Agent-Based Modeling and Simulation with Swarm
Chapman & Hall/CRC Studies in Informatics Series
Author: Iba Hitoshi
Language: EnglishSubjects for Agent-Based Modeling and Simulation with Swarm:
Keywords
White Cells; Cellular Automata; Swarm-based multi-agent simulation; ABC Algorithm; multi-agent modeling; Agent Based Modeling; adaption of complex systems; Artificial Societies; evolutionary computation; Interactive GA; artificial life; cellular automata; and bio-inspired optimization; Initial Individuals; algorithms for a simulation model; Onlooker Bees; Swarm-based software; Red Tribe; understanding complex systems and artificial life; PSO Search; Traveling Salesman Problem; Chain Formation System; Atm Network; Pheromone Trail; Non-terminal Nodes; Pheromone Concentration; PSO Algorithm; Ac Ti; Army Ants; Santa Fe Institute; Standard GP; Simulated Breeding; Bad Initialization; Midi Piano; Gaussian Mutation
Publication date: 07-2013
Support: Print on demand
Publication date: 11-2016
· 15.6x23.4 cm · Paperback
Description
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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.
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.