AI and SWARM: Evolutionary Approach to Emergent Intelligence
Autor Hitoshi Ibaen Limba Engleză Paperback – apr 2021
Another emphasis is its real-world applications. We give empirical examples from real-world problems and show that the proposed approaches are successful when addressing tasks from such areas as swarm robotics, silicon traffics, image understanding, Vornoi diagrams, queuing theory, and slime intelligence, etc.
Each chapter begins with the background of the problem followed by the current state-of-the-art techniques of the field, and ends with a detailed discussion. In addition, the simulators, based on optimizers such as PSO and ABC complex adaptive system simulation, are described in detail. These simulators, as well as some source codes, are available online on the author’s website for the benefit of readers interested in getting some hands-on experience of the subject.
The concepts presented in this book aim to promote and facilitate the effective research in swarm intelligence approaches in both theory and practice. This book would also be of value to other readers because it covers interdisciplinary research topics that encompass problem-solving tasks in AI, complex adaptive systems, and meta-heuristics.
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Specificații
ISBN-13: 9780367776657
ISBN-10: 0367776650
Pagini: 250
Dimensiuni: 156 x 234 mm
Greutate: 0.55 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 0367776650
Pagini: 250
Dimensiuni: 156 x 234 mm
Greutate: 0.55 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Cuprins
1. Introduction.
2. AI, Alife and Energent Computation.
3. Meta-heuristics.
4. Emergent Properties and Swarm Intelligence.
5. Complex Adaptive Systems.
6. Emergence of Intelligence.
7. Conclusion.
8. Appendix.
2. AI, Alife and Energent Computation.
3. Meta-heuristics.
4. Emergent Properties and Swarm Intelligence.
5. Complex Adaptive Systems.
6. Emergence of Intelligence.
7. Conclusion.
8. Appendix.
Descriere
This book provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence. It emphasizes real-world applicability and offers empirical examples from real-world problems to demonstrate that the proposed approaches are successful when working with swarm robotics, silicon traffics, image understanding, et