Autonomous Agents Multiagent Systems (95 results)

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

Condition: 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.…

Condition: 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.

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

Taschenbuch. Condition: 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.…

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

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Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware - Description The convergence of large language models, retrieval-augmented generation, and knowledge graphs has opened a new frontier in artificial intelligence: the design of autonomous multiagent systems capable of sophisticated reasoning, dynamic collaboration, and reliable execution in complex, real-world environments. AI Agents Handbook delivers a rigorous, end-to-end reference for professionals who must move beyond isolated LLM calls to architect, implement, and operate production-grade agentic platforms. This volume provides the architectural principles, design patterns, and engineering methodologies required to build agents that perceive, plan, act, and coordinate effectively. Readers gain deep expertise in constructing high-fidelity RAG pipelines, integrating structured knowledge graphs for semantic reasoning, implementing advanced agent patterns such as ReAct and Reflexion, and orchestrating multiagent workflows that scale across distributed infrastructure. The handbook systematically addresses the full system lifecycle-from data ingestion and knowledge representation to agent lifecycle management, inter-agent communication protocols, fault tolerance, and continuous evaluation-while maintaining a consistent focus on reliability, observability, and responsible deployment. Special attention is given to the practical challenges that determine success in enterprise and research settings: mitigating hallucinations and retrieval failures, securing agents against prompt injection and adversarial inputs, preserving privacy in multi-party environments, establishing governance and audit mechanisms, and achieving horizontal scalability without sacrificing coherence. Domain-informed case studies and reference architectures illustrate how these components integrate into cohesive solutions for software engineering automation, research acceleration, financial process orchestration, and knowledge-intensive operations. AI Agents Handbook is written for experienced AI engineers, system architects, machine learning researchers, and technical leaders who require both theoretical depth and actionable implementation guidance. Its structured progression from foundational concepts to advanced production considerations equips readers to design agents that are not only intelligent but also robust, maintainable, and aligned with organizational objectives. Master the construction of autonomous multiagent systems that deliver measurable value.Acquire your copy of AI Agents Handbook today and begin building the next generation of scalable, trustworthy, and collaborative AI agent platforms.…

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Condition: New. In English.

Taschenbuch. Condition: 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.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Condition: New. In English.

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Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

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Condition: As New. Unread book in perfect condition.

Condition: New. Print on Demand.

Condition: New.