Agent-Based Modeling and Simulation With Swarm

Zusatztext "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 Informationen zum Autor Hitoshi Iba Zusammenfassung 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. Inhaltsverzeichnis Introduction What is simulation? Simulation of intelligence Criticism of simulation Swarm and the Santa Fe Institute Evolutionary Methods and Evolutionary Computation What is evolutionary computation? What are genetic algorithms?What is genetic programming?What is interactive evolutionary computation?Multi-Agent Simulation Based on Swarm Overview of Swarm TutorialEvolutionary Simulation Simulation of sexual selection Swarm-based simulation of sexual selection Simulation of the prisoner's dilemma Evolving artificial creatures and artificial lifeAnt Colony-Based Simulation Collective behaviors of ants Swarm simulation of the pheromone trails of ants Ant colony optimization (ACO) Ant-clustering algorithms Swarm-based simulation of ant-clustering Ant colony-based approach to the network routing problem Ant-based job separation Emergent cooperation of army antsParticle Swarm Simulation Boids and flocking behaviors Simulating boids with Swarm Swarm chemistry PSO: particle swarm optimizationABC algorithm BUGS: a bug-based search strategyBUGS in SwarmCellular Automata SimulationGame of lifeConway class with Swarm Program that replicates itself Simulating forest fires with SwarmSegregation model simulation with SwarmLattice gas automatonTuring model and morphogenesis simulation Simulating percolation with Swarm Silicon traffic and its control The world of SugarscapeConclusion Appendix A: GUI Systems and Source CodeAppendix B: Installing SwarmReferences Index Swarm Index Name Index ...

Product details

• Authors: Hitoshi Iba, Hitoshi (University of Tokyo Iba, Iba Hitoshi
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 08.11.2016
• EAN: 9781138033702
• ISBN: 978-1-138-03370-2
• No. of pages: 326
• Series: Chapman & Hall/CRC Studies in Informatics Series
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; TECHNOLOGY & ENGINEERING / Electronics / General, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, computer science, MATHEMATICS / Arithmetic, Electrical Engineering, algorithms and data structures, Algorithms & data structures, Automatic control engineering