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AI Game Theory
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 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.
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 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.
210 pages, Kindle Edition
Published July 31, 2025
4 people are currently reading
About the author
H. Peter Alesso
69 books471 followersI love words, but that wasn't always true. I grew up with a talent for numbers, leading me to follow a different path. I went to Annapolis and MIT and became a nuclear physicist at Lawrence Livermore National Laboratory. Only after I retired was my desire to tell stories reawakened.
In recent years, I have immersed myself in the world of words, drawing on my scientific knowledge and personal experience to shape my writing.
As a scientist, I explored physics and technology, which enabled me to create informative and insightful books, sharing my knowledge with readers who sought to expand their understanding in these areas—contributing to their intellectual growth while satisfying my own passion.
But it was my time as a naval officer that ignited my imagination and propelled me into science fiction. After graduating from the United States Naval Academy and serving on nuclear submarines during both hot and cold wars, I witnessed firsthand the complexities and challenges of military operations that seamen face daily.
This allowed me a unique perspective, which I channeled into creating Henry Gallant and a 22nd-century world where a space officer fought against invading aliens. Through this narrative, I explored the depths of human resilience, the mysteries of space, and the intricacies of military conflict.
My stories let me share the highlights of my journey with you. I hope you enjoy the ride. (www.hpeteralesso.com)
H. Peter Alesso Amazon Author Page"
https://www.amazon.com/H.-Peter-Aless...
'The Henry Gallant Sage' Facebook page:
https://www.facebook.com/TheHenryGall...
website: https://www.ai-hive.net/
In recent years, I have immersed myself in the world of words, drawing on my scientific knowledge and personal experience to shape my writing.
As a scientist, I explored physics and technology, which enabled me to create informative and insightful books, sharing my knowledge with readers who sought to expand their understanding in these areas—contributing to their intellectual growth while satisfying my own passion.
But it was my time as a naval officer that ignited my imagination and propelled me into science fiction. After graduating from the United States Naval Academy and serving on nuclear submarines during both hot and cold wars, I witnessed firsthand the complexities and challenges of military operations that seamen face daily.
This allowed me a unique perspective, which I channeled into creating Henry Gallant and a 22nd-century world where a space officer fought against invading aliens. Through this narrative, I explored the depths of human resilience, the mysteries of space, and the intricacies of military conflict.
My stories let me share the highlights of my journey with you. I hope you enjoy the ride. (www.hpeteralesso.com)
H. Peter Alesso Amazon Author Page"
https://www.amazon.com/H.-Peter-Aless...
'The Henry Gallant Sage' Facebook page:
https://www.facebook.com/TheHenryGall...
website: https://www.ai-hive.net/
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