{"product_id":"game-theory-and-artificial-intelligence-vol-2-9798278167907","title":"Game Theory and Artificial Intelligence VOL-2","description":"\u003cp\u003e • Author(s): Anshuman Mishra\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003eHuman civilization has always been shaped by decision-making-whether in economics, politics, warfare, business, or social interaction. Yet, as we rapidly transition into a digital world powered by artificial intelligence, robotics, and autonomous systems, decision-making is no longer an exclusively human activity. Intelligent machines now negotiate, cooperate, compete, learn, adapt, and sometimes even make strategic choices that exceed human intuition. At the core of this emerging revolution lies a powerful, elegant, and interdisciplinary mathematical framework: \u003cb\u003eGame Theory\u003c\/b\u003e.\u003cbr\u003eGame theory is not merely a branch of mathematics. It is a universal language of strategic interaction-a lens through which we can understand how independent decision-makers (called \u003ci\u003eagents\u003c\/i\u003e) behave when their goals conflict, align, or evolve. Artificial Intelligence (AI), meanwhile, is the science of building machines capable of perception, reasoning, and autonomous decision-making. The fusion of these two fields has created one of the most influential research and engineering domains of the 21st century: \u003cb\u003eGame-Theoretic Artificial Intelligence\u003c\/b\u003e.\u003cbr\u003eThis book, \u003ci\u003eGame Theory and Artificial Intelligence: Foundations, Multi-Agent Systems, Reinforcement Learning, and Intelligent Decision-Making\u003c\/i\u003e, written by \u003cb\u003eAnshuman Mishra\u003c\/b\u003e, serves as a comprehensive, deeply structured, and academically rigorous guide that connects classical game theory with cutting-edge AI technologies. Designed for undergraduate students, postgraduate learners, researchers, and industry professionals, this book blends conceptual depth with practical insights, ensuring that readers gain both theoretical mastery and functional understanding. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cb\u003eWhy This Book Matters in Today's World\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eAs AI systems increasingly interact with humans and with each other, they must operate intelligently in environments filled with uncertainty, competition, cooperation, and dynamic change. Autonomous vehicles negotiate merges. Trading bots compete in algorithmic financial markets. Cybersecurity systems anticipate attacker strategies. Multi-robot teams coordinate complex missions. Social networks influence collective human behavior. Reinforcement learning agents adapt through trial and error within changing environments. These interactions are not isolated-they are strategic. \u003cb\u003eGame theory provides the foundation for building intelligent AI systems that can reason strategically, coordinate efficiently, and operate robustly in multi-agent environments.\u003c\/b\u003e\u003cbr\u003eMost existing textbooks treat game theory, reinforcement learning, Bayesian decision theory, and multi-agent systems as isolated subjects. However, real-world AI systems must synthesize these areas. This book bridges that gap by unifying: \u003col\u003e\n\u003cli\u003eClassical and modern game theory\u003c\/li\u003e\n\u003cli\u003eMulti-agent system architectures\u003c\/li\u003e\n\u003cli\u003eReinforcement learning and deep RL\u003c\/li\u003e\n\u003cli\u003eMechanism design and strategic incentives\u003c\/li\u003e\n\u003cli\u003eEvolutionary dynamics and learning processes\u003c\/li\u003e\n\u003cli\u003ePractical applications in robotics, cybersecurity, economics, and AI governance\u003c\/li\u003e\n\u003c\/ol\u003eThrough this unified perspective, the book provides a complete roadmap for anyone who wants to understand or develop intelligent multi-agent systems. \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cb\u003eCore Features of This Book\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e1. A Structured Foundation in Game Theory\u003c\/b\u003e\u003cbr\u003eThe book begins with accessible explanations of strategic form games, extensive form games, Nash equilibrium, dominance, mixed strategies, Bayesian games, evolutionary stability, and the mathematics of payoffs. Each concept is introduced with clarity, avoiding unnecessary complexity while preserving academic rigor. These foundations are essential because they provide the mathematical grammar for all later chapters.\u003cbr\u003e\u003cb\u003e2. A Complete Introduction to Multi-Agent Systems\u003c\/b\u003e\u003cbr\u003eMulti-agent environments are the backbone of modern AI research, from swarm robotics to negotiation algorithms .","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47593488187543,"sku":"9798278167907","price":1837.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798278167907.webp?v=1774982115","url":"https:\/\/atlanticbooks.com\/products\/game-theory-and-artificial-intelligence-vol-2-9798278167907","provider":"Atlantic Books","version":"1.0","type":"link"}