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  • Format: ePub

Many metaheuristics are inspired by natural intelligence, particularly in how living species adapt and collaborate for survival. Swarm intelligence-based algorithms mimic the collective behaviour of animals and insects, and this book explores four such algorithms: Cat Swarm, Chicken Swarm, Bird Swarm, and Elephant Search. The authors have created engaging games to help children understand these algorithms through hands-on activities. With this interactive experience, the authors hope children can learn creative problem-solving skills while enjoying the amazing strategies that living creatures use in nature.…mehr

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  • Größe: 3.86MB
Produktbeschreibung
Many metaheuristics are inspired by natural intelligence, particularly in how living species adapt and collaborate for survival. Swarm intelligence-based algorithms mimic the collective behaviour of animals and insects, and this book explores four such algorithms: Cat Swarm, Chicken Swarm, Bird Swarm, and Elephant Search. The authors have created engaging games to help children understand these algorithms through hands-on activities. With this interactive experience, the authors hope children can learn creative problem-solving skills while enjoying the amazing strategies that living creatures use in nature.


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Autorenporträt
Dr. Chen Chen is an entrepreneur running a start-up called Mentor Town, which provides training and consultancy for the construction industry. She is also a part-time instructor, teaching AI literacy at Nanyang Technological University in Singapore.

Miss Wu Yufei is a student at Jurong West Secondary School in Singapore. She enjoys mathematics and science. Plus, she is an animal lover and has three pets: a cat, a bunny, and a parrot. She has a lot of fun writing this book with her mom.