Name: Orchestrating Autonomous AI Agents. Architectural Patterns and Coordination Protocols for Engineers Designing Distributed Multi-Agent Systems (en Inglés)
SKU: 67365024
Price: 29.76 USD
Availability: InStock
Author: Keiko Monroe

portada Orchestrating Autonomous AI Agents. Architectural Patterns and Coordination Protocols for Engineers Designing Distributed Multi-Agent Systems (en Inglés)

Orchestrating Autonomous AI Agents. Architectural Patterns and Coordination Protocols for Engineers Designing Distributed Multi-Agent Systems (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

Keiko Monroe

Año

2026

Idioma

Inglés

N° páginas

168

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x0.9 cm

ISBN13

9798197292629

Orchestrating Autonomous AI Agents. Architectural Patterns and Coordination Protocols for Engineers Designing Distributed Multi-Agent Systems (en Inglés)

Keiko Monroe (Autor) · Independently published · Tapa Blanda

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Reseña del libro "Orchestrating Autonomous AI Agents. Architectural Patterns and Coordination Protocols for Engineers Designing Distributed Multi-Agent Systems (en Inglés)"

As artificial intelligence transitions from isolated models to interconnected, decision-making networks, the discipline of multi-agent orchestration has become a critical competency for senior engineers and AI architects. The demand for systems where autonomous agents communicate, negotiate, delegate, and collaborate at scale is no longer theoretical - it is an operational reality across enterprise AI deployments, autonomous pipelines, and large-scale LLM-powered infrastructures.
This book addresses that reality with technical rigor and architectural depth. Written for experienced AI practitioners, software architects, and research engineers, it examines the structural principles, coordination protocols, and deployment patterns that define production-grade multi-agent systems. Readers will engage with the formal mechanisms behind agent role specialization, inter-agent messaging, consensus formation, fault tolerance, and decentralized task execution - without abstraction or oversimplification.
The material draws on established frameworks, emerging industry standards, and applied architectural analysis to present a cohesive body of knowledge. Topics span agent communication languages, orchestration topologies, LLM-native agent design, tool-use coordination, memory and state synchronization across distributed agents, ethical governance of autonomous decision chains, and observability in non-deterministic environments.
This is not an introductory treatment. Readers are expected to bring working knowledge of distributed systems, machine learning pipelines, and software architecture. The content is structured to extend that foundation into the specialized domain of agentic AI design - where coordination complexity, emergent behavior, and systemic reliability intersect.
If you are an engineer or architect responsible for designing, evaluating, or scaling intelligent agent systems, this book provides the technical frameworks and analytical depth your work demands. Add it to your professional library and engage with the structural discipline that defines the next generation of AI infrastructure.