Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2016
ISBN 10: 1138033707 ISBN 13: 9781138033702
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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 authors 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. pp. 317.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 83,67
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. 317.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 101,10
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Aggiungi al carrelloCondizione: New. Series: Chapman & Hall/CRC Studies in Informatics Series. Num Pages: 317 pages, 192 black & white illustrations, 11 colour illustrations, 35 black & white tables. BIC Classification: TJF; TJFM; UMB. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 158 x 281 x 25. Weight in Grams: 490. . 2016. 1st Edition. paperback. . . . .
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 102,01
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Aggiungi al carrelloCondizione: New. pp. 317.
Da: Revaluation Books, Exeter, Regno Unito
EUR 112,26
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 317 pages. 9.25x6.14x0.80 inches. In Stock.
Condizione: New. Series: Chapman & Hall/CRC Studies in Informatics Series. Num Pages: 317 pages, 192 black & white illustrations, 11 colour illustrations, 35 black & white tables. BIC Classification: TJF; TJFM; UMB. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 158 x 281 x 25. Weight in Grams: 490. . 2016. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
Da: moluna, Greven, Germania
EUR 86,29
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Aggiungi al carrelloCondizione: New. Hitoshi IbaSwarm-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. A.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2016
ISBN 10: 1138033707 ISBN 13: 9781138033702
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 154,08
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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 authors 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.