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Agent-based modeling and simulation with Swarm /
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 methodolog...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Florida :
CRC Press,
[2013]
|
| Series: | Chapman & Hall/CRC studies in informatics series.
|
| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 020 | |a 9781138033702 | ||
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| 100 | 1 | |a Iba, Hitoshi, |e author. | |
| 245 | 1 | 0 | |a Agent-based modeling and simulation with Swarm / |c Hitoshi Iba. |
| 264 | 1 | |a Boca Raton, Florida : |b CRC Press, |c [2013] | |
| 264 | 4 | |c ©2013 | |
| 300 | |a 1 online resource (xx, 297 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 490 | 1 | |a Chapman & Hall/CRC studies in informatics series | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (CRCnetBASE, viewed July 16, 2013). | |
| 505 | 0 | |a 1. Introduction -- 2. Evolutionary methods and evolutionary computation -- 3. Multi-agent simulation based on swarm -- 4. Evolutionary simulation -- 5. Ant colony : based simulation -- 6. Particle swarm simulation -- 7. Cellular automata simulation -- 8. Conclusion. | |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Multiagent systems. | |
| 650 | 0 | |a Swarm intelligence. | |
| 650 | 6 | |a Systèmes multiagents (Intelligence artificielle) | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Multiagent systems. |2 fast |0 (OCoLC)fst01749717 | |
| 650 | 7 | |a Swarm intelligence. |2 fast |0 (OCoLC)fst01139953 | |
| 776 | 0 | 8 | |i Print version: |t Agent-based Modeling and Simulation With Swarm. |d Chapman & Hall 2013 |z 9781466562349 |w (OCoLC)792874796 |
| 830 | 0 | |a Chapman & Hall/CRC studies in informatics series. | |
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