ISBN: 9798195498139 - agent-to-agent (a2a) ai systems engineering: multi-agent collaboration, autonomous ai workflows, agent communication protocols, orchestration systems, and scalable ai architectures (5 resultados)

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 22,04
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Paperback. Condición: new. Paperback. The future of artificial intelligence is not defined by single models working independently, but by networks of intelligent agents collaborating to solve complex problems dynamically and autonomously.Agent-to-Agent (A2A) systems represent the next stage of AI evolution-where multiple AI agents operate as a coordinated system, communicating, delegating tasks, sharing memory, and making distributed decisions.This book provides a deep engineering guide to designing and building multi-agent AI systems that function like intelligent distributed teams, capable of solving problems far beyond the ability of a single model.You will learn how to structure agent ecosystems where each agent has a specialized role, communication protocol, and decision-making capability, enabling the creation of self-organizing and scalable AI infrastructures.Unlike single-agent AI systems, A2A architectures introduce challenges such as coordination, consistency, conflict resolution, and distributed memory-all of which are covered in detail in this book.You will learn how to: Design multi-agent AI system architectures from the ground upBuild structured communication protocols between autonomous agentsImplement task delegation, orchestration, and coordination systemsManage shared and private memory across distributed agent networksHandle conflicts, inconsistencies, and synchronization issues in agent systemsScale multi-agent systems across cloud and distributed infrastructureDeploy production-ready autonomous AI ecosystemsBy the end of this book, you will be capable of designing and implementing fully autonomous AI systems where multiple agents collaborate intelligently to execute complex workflows and decision-making processes at scale. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Idioma: Inglés
Editorial: Independently published, 2026
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 22,04
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Condición: New. Print on Demand.

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 22,87
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 20,62
Envío por EUR 4,94Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 25,04
Envío por EUR 43,92Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. The future of artificial intelligence is not defined by single models working independently, but by networks of intelligent agents collaborating to solve complex problems dynamically and autonomously.Agent-to-Agent (A2A) systems represent the next stage of AI evolution-where multiple AI agents operate as a coordinated system, communicating, delegating tasks, sharing memory, and making distributed decisions.This book provides a deep engineering guide to designing and building multi-agent AI systems that function like intelligent distributed teams, capable of solving problems far beyond the ability of a single model.You will learn how to structure agent ecosystems where each agent has a specialized role, communication protocol, and decision-making capability, enabling the creation of self-organizing and scalable AI infrastructures.Unlike single-agent AI systems, A2A architectures introduce challenges such as coordination, consistency, conflict resolution, and distributed memory-all of which are covered in detail in this book.You will learn how to: Design multi-agent AI system architectures from the ground upBuild structured communication protocols between autonomous agentsImplement task delegation, orchestration, and coordination systemsManage shared and private memory across distributed agent networksHandle conflicts, inconsistencies, and synchronization issues in agent systemsScale multi-agent systems across cloud and distributed infrastructureDeploy production-ready autonomous AI ecosystemsBy the end of this book, you will be capable of designing and implementing fully autonomous AI systems where multiple agents collaborate intelligently to execute complex workflows and decision-making processes at scale. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…