Agent multi agent systems distributed (275 risultati)

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Distributed Constraint Satisfaction : Foundations of Cooperation in Multi-Agent Systems
Yokoo, Makoto; Etzioni, O. (EDT); Ishida, T. (EDT); Jennings, N. (EDT); Sycara, K. (EDT)
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Agents and Multi-Agent Systems : Formalisms, Methodologies and Applications : Based on the Ai'97 Workshop on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial
Wobcke, Wayne (EDT); Pagnucco, Maurice; Zhang, Chengqi (EDT)
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Distributed Constraint Satisfaction : Foundations of Cooperation in Multi-Agent Systems
Yokoo, Makoto; Etzioni, O. (EDT); Ishida, T. (EDT); Jennings, N. (EDT); Sycara, K. (EDT)
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Agents and Multi-Agent Systems : Formalisms, Methodologies and Applications : Based on the Ai'97 Workshop on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial
Wobcke, Wayne (EDT); Pagnucco, Maurice; Zhang, Chengqi (EDT)
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Taschenbuch. Condizione: Neu. Neuware - 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.…

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Agents and Multi-Agent Systems : Formalisms, Methodologies and Applications : Based on the Ai'97 Workshop on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial
Wobcke, Wayne (EDT); Pagnucco, Maurice; Zhang, Chengqi (EDT)
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Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp Dez 2025, 2025
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Taschenbuch. Condizione: Neu. Neuware - Build AI systems that don't just respond-they collaborate, adapt, and evolve.Large Language Models changed the world.Multi-agent LLM ecosystems will redefine it.In Scaling LLM Agents, Mira S. Devlin takes you inside the next revolution of AI architecture-where networks of specialized LLM agents coordinate, reason, reflect, and self-optimize to accomplish what a single model could never do alone.This is not another 'prompting' book.This is a systems-engineering blueprint for building scalable, resilient, and tool-driven AI ecosystems that behave more like distributed organizations than standalone chatbots.Drawing from modern AI orchestration frameworks, emerging research on distributed cognition, and real-world production patterns, this book shows you how to design agent clusters, shared memory fabrics, routing layers, evaluators, and tool hubs that dynamically adapt and continuously improve.What You'll Learn- How to structure LLM agents into clusters with clear roles, capabilities, and communication protocols- Coordinator and scheduler patterns for robust multi-agent task execution- Decentralized routing fabrics for fast, scalable message passing- Shared vector memory systems for persistent state, grounding, and context fusion- Reflection and optimization loops that help agents correct themselves and learn from outcomes- Tool-driven orchestration using APIs, function calling, and external workflows- Monitoring, evaluation, and telemetry layers to keep your multi-agent system safe, reliable, and transparent- Scalable system topologies for production workloads, real-time reasoning, and enterprise automationWho This Book Is For- AI engineers designing intelligent, high-performance systems- Software architects modernizing applications with agentic patterns- Founders and CTOs building AI-first products- Researchers exploring distributed cognition and emergent behaviors- Developers wanting to go beyond prompts and learn real LLM engineeringIf you've mastered prompting, tinkered with agents, or built early prototypes-this is the book that takes you into the next era: true multi-agent AI ecosystems that scale.Why This Book MattersThe future will not belong to the biggest model.but to the best-organized constellation of collaborating models.This book gives you the architecture, patterns, and practical frameworks to build them.Order your copy today and start building the AI ecosystems of tomorrow.…

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Condizione: New. In English.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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