A comprehensive, cutting-edge introduction to neuroevolution that equips AI professionals and advanced students to harness evolutionary creativity for innovative AI solutions.
Neuroevolution—the fusion of neural networks with evolutionary algorithms—is a powerful approach to AI model design. Providing a comprehensive, cutting-edge introduction to the field, this textbook methodically moves from fundamental principles to state-of-the-art techniques, highlighting how evolutionary processes can creatively design neural network architectures and behaviors beyond what conventional methods achieve.
The book starts with core concepts of evolutionary computation and basic neuroevolution examples, followed by key design considerations like genetic encodings and the critical role of diversity. It then covers evolving intelligent agents, from low-level control through intelligent behavior to high-level multi-agent decision-making strategies. Next, it discusses integrating neuroevolution with other modern AI methods such as large language models and reinforcement learning. Finally, it offers insights into biological evolution, examining evolved neural structures, developmental processes, coevolution of bodies and brains, and the evolution of behaviors and language. Written by pioneers of the field, this timely book shows how the creativity of evolution can be harnessed in AI, automating the discovery of novel neural network solutions that improve adaptability and performance in complex, uncertain environments.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Sebastian Risi is a Professor at the IT University of Copenhagen, where he directs the Creative AI Lab, and a Research Scientist at Sakana AI. Yujin Tang is a Research Scientist at Sakana AI, with a research focus on machine learning and evolutionary algorithms. David Ha is a cofounder and CEO of Sakana AI. Risto Miikkulainen is a Professor of Computer Science at the University of Texas at Austin and VP of AI Research at Cognizant AI Labs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26405501246
Quantité disponible : 3 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. N° de réf. du vendeur 18405501236
Quantité disponible : 3 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FV-9780262054768
Quantité disponible : 10 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. A comprehensive, cutting-edge introduction to neuroevolution that equips AI professionals and advanced students to harness evolutionary creativity for innovative AI solutions.Neuroevolution-the fusion of neural networks with evolutionary algorithms-is a powerful approach to AI model design. Providing a comprehensive, cutting-edge introduction to the field, this textbook methodically moves from fundamental principles to state-of-the-art techniques, highlighting how evolutionary processes can creatively design neural network architectures and behaviors beyond what conventional methods achieve.The book starts with core concepts of evolutionary computation and basic neuroevolution examples, followed by key design considerations like genetic encodings and the critical role of diversity. It then covers evolving intelligent agents, from low-level control through intelligent behavior to high-level multi-agent decision-making strategies. Next, it discusses integrating neuroevolution with other modern AI methods such as large language models and reinforcement learning. Finally, it offers insights into biological evolution, examining evolved neural structures, developmental processes, coevolution of bodies and brains, and the evolution of behaviors and language. Written by pioneers of the field, this timely book shows how the creativity of evolution can be harnessed in AI, automating the discovery of novel neural network solutions that improve adaptability and performance in complex, uncertain environments.Provides a structured, step-by-step path from basics to advanced topicsDetails essential mathematical and conceptual foundationsUnifies decades of research in one place, explaining key algorithms with illustrative examplesExplores how neuroevolution interfaces with contemporary AI advancesIncludes extensive real-life case studies across robotics, games, art, and decision-makingFeatures a comprehensive online supplement with demos, tutorials, lecture slides and videos, exercises and code Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780262054768
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 408734433
Quantité disponible : 3 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. In Stock. N° de réf. du vendeur __0262054760
Quantité disponible : 1 disponible(s)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. N° de réf. du vendeur CGNZOXZXAM
Quantité disponible : Plus de 20 disponibles
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. N° de réf. du vendeur B9780262054768
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9780262054768
Quantité disponible : 5 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. A comprehensive, cutting-edge introduction to neuroevolution that equips AI professionals and advanced students to harness evolutionary creativity for innovative AI solutions.Neuroevolution-the fusion of neural networks with evolutionary algorithms-is a powerful approach to AI model design. Providing a comprehensive, cutting-edge introduction to the field, this textbook methodically moves from fundamental principles to state-of-the-art techniques, highlighting how evolutionary processes can creatively design neural network architectures and behaviors beyond what conventional methods achieve.The book starts with core concepts of evolutionary computation and basic neuroevolution examples, followed by key design considerations like genetic encodings and the critical role of diversity. It then covers evolving intelligent agents, from low-level control through intelligent behavior to high-level multi-agent decision-making strategies. Next, it discusses integrating neuroevolution with other modern AI methods such as large language models and reinforcement learning. Finally, it offers insights into biological evolution, examining evolved neural structures, developmental processes, coevolution of bodies and brains, and the evolution of behaviors and language. Written by pioneers of the field, this timely book shows how the creativity of evolution can be harnessed in AI, automating the discovery of novel neural network solutions that improve adaptability and performance in complex, uncertain environments.Provides a structured, step-by-step path from basics to advanced topicsDetails essential mathematical and conceptual foundationsUnifies decades of research in one place, explaining key algorithms with illustrative examplesExplores how neuroevolution interfaces with contemporary AI advancesIncludes extensive real-life case studies across robotics, games, art, and decision-makingFeatures a comprehensive online supplement with demos, tutorials, lecture slides and videos, exercises and code Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780262054768
Quantité disponible : 1 disponible(s)