AI Game Theory (Paperback)
Idioma: inglés
Editorial: Independently Published, 2025
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
Condición: Nuevo
EUR 25,51
Cantidad disponible: 1 disponible
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Paperback. In 2016, a machine made a move that shouldn't have been reasonable. AlphaGo's Move 37 against world champion Lee Sedol defied 2,500 years of accumulated Go wisdom-a shoulder hit on the fifth line that had a 1-in-10,000 probability of being played by any human expert. Yet this seemingly absurd move proved not just valid but brilliant, revealing strategic depths that generations of masters had missed. It was the moment the world realized that artificial intelligence hadn't just learned to play our games-it had begun to reimagine them entirely. AI Game Theory explores this profound transformation: how machines are revolutionizing the mathematics of strategy itself. From poker bots that bluff with superhuman sophistication to algorithms that tackle climate negotiations involving 200 nations, AI has shattered the computational barriers that limited game theory since von Neumann's foundational work in the 1940s. But this isn't just a story of raw computational power. Through real-world examples-like the 2010 Flash Crash that erased $1 trillion in minutes, supply chains that self-organize like ecosystems, and AI diplomats that master human deception-this book reveals how machine learning fundamentally changes strategic thinking. Neural networks discover equilibria in games too complex to even write down. Reinforcement learning agents develop intuitions that transcend human understanding. Evolutionary algorithms maintain diverse strategies that adapt to opponents in real-time. Drawing on cutting-edge research and packed with practical Python implementations, this book bridges the gap between theoretical foundations and revolutionary applications. Readers will discover how AI conquers poker through counterfactual regret minimization, how multi-agent systems coordinate disaster relief, and how quantum computing promises exponential speedups for solving strategic problems. Yet with great power comes great responsibility. As AI systems predict voter behavior with uncanny accuracy and algorithms accidentally collude to fix prices, we face urgent questions about fairness, transparency, and human agency. This book doesn't shy away from these challenges, offering frameworks for ensuring AI enhances rather than undermines strategic decision-making. Whether you're a researcher pushing the boundaries of AI, a practitioner applying game theory to real problems, or simply curious about how machines are learning to outwit us at our own games, this book provides both the technical depth and accessible explanations needed to understand-and shape-the future of strategic reasoning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9798296062505
- Título
- AI Game Theory (Paperback)
- Autor
- H. Peter Alesso
- Editorial
- Independently Published
- Año de publicación
- 2025
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798296062505
- Serie
- Libro 2 de 3: AI Predictive Ability
AlphaGo's Move 37 against world champion Lee Sedol defied 2,500 years of accumulated Go wisdom—a shoulder hit on the fifth line that had a 1-in-10,000 probability of being played by any human expert. Yet this seemingly absurd move proved not just valid but brilliant, revealing strategic depths that generations of masters had missed. It was the moment the world realized that artificial intelligence hadn't just learned to play our games—it had begun to reimagine them entirely.
AI Game Theory explores this profound transformation: how machines are revolutionizing the mathematics of strategy itself. From poker bots that bluff with superhuman sophistication to algorithms that tackle climate negotiations involving 200 nations, AI has shattered the computational barriers that limited game theory since von Neumann's foundational work in the 1940s.
But this isn't just a story of raw computational power. Through real-world examples—like the 2010 Flash Crash that erased $1 trillion in minutes, supply chains that self-organize like ecosystems, and AI diplomats that master human deception—this book reveals how machine learning fundamentally changes strategic thinking. Neural networks discover equilibria in games too complex to even write down. Reinforcement learning agents develop intuitions that transcend human understanding. Evolutionary algorithms maintain diverse strategies that adapt to opponents in real-time.
Drawing on cutting-edge research and packed with practical Python implementations, this book bridges the gap between theoretical foundations and revolutionary applications. Readers will discover how AI conquers poker through counterfactual regret minimization, how multi-agent systems coordinate disaster relief, and how quantum computing promises exponential speedups for solving strategic problems.
Yet with great power comes great responsibility. As AI systems predict voter behavior with uncanny accuracy and algorithms accidentally collude to fix prices, we face urgent questions about fairness, transparency, and human agency. This book doesn't shy away from these challenges, offering frameworks for ensuring AI enhances rather than undermines strategic decision-making.
Whether you're a researcher pushing the boundaries of AI, a practitioner applying game theory to real problems, or simply curious about how machines are learning to outwit us at our own games, this book provides both the technical depth and accessible explanations needed to understand—and shape—the future of strategic reasoning.
“Sinopsis” puede pertenecer a otra edición de este título.
CitiRetail
Stevenage, Reino Unido
Vendedor de IberLibro desde 29 de junio de 2022
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