Autonomous agents multiagent systems (98 résultats)

hardcover. Etat : Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.

hardcover. Etat : Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.

Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:0262194384.…

Paperback. Etat : Good. Good - . In good condition.

Etat : Like New. paperback. Text block, wrappers and binding are in like new condition, without markings of any kind. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.

Etat : Used: Very Good. 3 volumes. VG+. 3 volumes.

Taschenbuch. Etat : Neu. Neuware - The development of autonomous AI agents represents a pivotal advancement in how intelligent applications are conceived, orchestrated, and operated at scale. Building AI Agents delivers a comprehensive, practice-focused guide for engineers and architects who need to move from experimental prototypes to reliable, maintainable, production-grade systems using LangChain, LangGraph, and MCP. This book provides structured methodologies for the complete agent lifecycle. Readers develop expertise in core agent primitives-reasoning loops, tool integration, memory architectures, and planning-then advance to stateful workflow orchestration, secure multi-agent coordination, and enterprise deployment patterns. Emphasis is placed on solving production realities: non-determinism, observability, cost control, fault tolerance, security, and responsible governance in LLM-powered environments. LangChain coverage establishes modular foundations for extensible agent cores, robust tool definitions, and secure function calling. LangGraph instruction focuses on graph-based modeling of complex, cyclic, and interruptible processes with persistence and human-in-the-loop capabilities. MCP is presented as the essential protocol layer enabling standardized message exchange, context propagation, agent discovery, task delegation, and trust mechanisms across distributed autonomous agents. Later chapters address architectural decisions for hierarchical and peer-to-peer multiagent topologies, advanced reasoning and reflection patterns, rigorous testing regimes including simulation and adversarial evaluation, embedded guardrails with compliance controls, and operational practices using containerization, CI/CD pipelines, monitoring, and long-term maintenance strategies tailored to agentic workloads. Designed for experienced software engineers, AI practitioners, and technical leaders, this volume bridges conceptual depth with implementation discipline. It equips readers with proven patterns that produce agents capable of consistent, trustworthy performance in demanding production settings. Master the frameworks, architectural patterns, and operational practices required to build and sustain intelligent, autonomous multiagent systems. Begin constructing production-ready AI agent solutions with the authoritative guidance in this book.…

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - Build intelligent agents that plan, act, and collaborate to solve real world problemsAI is evolving from answering questions to taking action.Modern systems no longer just generate text. They execute workflows, call tools, coordinate with other agents, and solve complex tasks autonomously.'Agents at Work' is a practical, hands on guide to designing autonomous AI systems using Python.This book teaches you how to build agents that can think, plan, and interact with the world.Why AI agents are the next stepTraditional AI systems respond.Agents act.With the right design, agents can: - plan multi step tasks- call external tools and APIs- retrieve and use data dynamically- collaborate with other agents- adapt to changing goalsThis book shows you how to build these capabilities in real systems.What you will learn- fundamentals of AI agents and workflows- designing agent architectures- tool calling and function execution- building multi step reasoning systems- memory and context management- multi agent collaboration and coordination- integrating APIs and external services- error handling and reliability strategies- optimizing cost and performance- deploying agent based systemsFrom prompts to autonomous systemsThroughout the book, you will learn how to: - design agents that execute real tasks- build workflows that combine reasoning and action- connect agents to tools and data sources- create systems that operate independently- coordinate multiple agents in complex environments- scale agent systems for production useEach chapter focuses on practical implementation.Practical applications- AI assistants that perform tasks- workflow automation systems- research and data analysis agents- customer support automation- multi agent collaboration platformsThese examples reflect modern AI applications.Who this book is for- AI engineers- software developers- data scientists- product builders- professionals creating AI powered systemsIf you want to build AI systems that do more than respond and can take real action, this book provides the roadmap.Design intelligently.Act autonomously.Build agents that work.…

Etat : New.

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Paperback. Etat : New.

Paperback. Etat : New.

Etat : New. In English.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New.

Etat : New. In English.

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Etat : New.

Etat : New.

Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New.

Etat : New. In English.