mastering multi agent systems python de lofton ryan (12 resultados)

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Paperback. Condición: new. Paperback. Mastering Multi-Agent Systems in Python: AI, Automation, and CoordinationOverviewArtificial Intelligence is no longer about standalone models-it's about intelligent systems that collaborate, compete, and adapt. Mastering Multi-Agent Systems in Python: AI, Automation, and Coordination is your complete guide to understanding, designing, and deploying multi-agent systems (MAS) using Python. Whether you're working with autonomous robots, financial markets, traffic simulations, or AI-powered automation, this book provides a hands-on, practical approach to building AI-driven agents that work together efficiently.By the end of this book, you'll have the knowledge and skills to create scalable, intelligent, and cooperative AI systems that can adapt and optimize in real-world environments.This book explores the core principles, techniques, and real-world applications of MAS, guiding you through the entire development process. You'll start with foundational concepts, such as agent types, architectures, and communication strategies. Then, you'll move into advanced topics, including reinforcement learning, swarm intelligence, game theory, and distributed computing. Each chapter includes practical Python examples that you can implement and experiment with right away.From designing efficient coordination strategies to deploying large-scale AI agents in the cloud, this book ensures you understand both the theoretical foundations and the hands-on implementations of MAS.Key Features of This BookComprehensive Guide to MAS - Covers everything from basic agent design to advanced decision-making and optimization techniques.Hands-On Implementation - Includes fully functional Python code examples to help you build, test, and deploy MAS efficiently.Real-World Applications - Explore MAS in robotics, finance, transportation, healthcare, and smart cities.Scalability and Performance Optimization - Learn how to debug, test, and optimize MAS for large-scale applications.Ethical and Security Considerations - Understand the challenges of deploying autonomous multi-agent systems responsibly.This book is perfect for: AI and Machine Learning Engineers looking to integrate multi-agent systems into their projects.Software Developers and Data Scientists interested in automation, intelligent agents, and distributed computing.Researchers and Academics working on reinforcement learning, game theory, and autonomous systems.Anyone curious about the future of AI-driven coordination and collaboration.Ready to take your AI expertise to the next level? Mastering Multi-Agent Systems in Python equips you with the knowledge, tools, and hands-on experience to build AI systems that can collaborate, adapt, and optimize in real-world environments. Get your copy today and start mastering the future of multi-agent intelligence! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Mastering Multi-Agent Systems in Python: AI, Automation, and CoordinationOverviewArtificial Intelligence is no longer about standalone models-it's about intelligent systems that collaborate, compete, and adapt. Mastering Multi-Agent Systems in Python: AI, Automation, and Coordination is your complete guide to understanding, designing, and deploying multi-agent systems (MAS) using Python. Whether you're working with autonomous robots, financial markets, traffic simulations, or AI-powered automation, this book provides a hands-on, practical approach to building AI-driven agents that work together efficiently.By the end of this book, you'll have the knowledge and skills to create scalable, intelligent, and cooperative AI systems that can adapt and optimize in real-world environments.This book explores the core principles, techniques, and real-world applications of MAS, guiding you through the entire development process. You'll start with foundational concepts, such as agent types, architectures, and communication strategies. Then, you'll move into advanced topics, including reinforcement learning, swarm intelligence, game theory, and distributed computing. Each chapter includes practical Python examples that you can implement and experiment with right away.From designing efficient coordination strategies to deploying large-scale AI agents in the cloud, this book ensures you understand both the theoretical foundations and the hands-on implementations of MAS.Key Features of This BookComprehensive Guide to MAS - Covers everything from basic agent design to advanced decision-making and optimization techniques.Hands-On Implementation - Includes fully functional Python code examples to help you build, test, and deploy MAS efficiently.Real-World Applications - Explore MAS in robotics, finance, transportation, healthcare, and smart cities.Scalability and Performance Optimization - Learn how to debug, test, and optimize MAS for large-scale applications.Ethical and Security Considerations - Understand the challenges of deploying autonomous multi-agent systems responsibly.This book is perfect for: AI and Machine Learning Engineers looking to integrate multi-agent systems into their projects.Software Developers and Data Scientists interested in automation, intelligent agents, and distributed computing.Researchers and Academics working on reinforcement learning, game theory, and autonomous systems.Anyone curious about the future of AI-driven coordination and collaboration.Ready to take your AI expertise to the next level? Mastering Multi-Agent Systems in Python equips you with the knowledge, tools, and hands-on experience to build AI systems that can collaborate, adapt, and optimize in real-world environments. Get your copy today and start mastering the future of multi-agent intelligence! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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