Autonomous intelligent systems multi agents (20 risultati)

Paperback. Condizione: New.

Condizione: very_good. This is a well-cared-for used book with light signs of previous use. There may be minor cover wear, a faint crease, or slight spine wear, but overall it's in great shape and fully readable. Please note: -May contain library or rental stickers. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not include original exterior box. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading. …

2007. 16 x 24 cm. XIV, 326 S. XIV, 326 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence). Sprache: Englisch.…

Condizione: New.

Paperback. Condizione: Fine.

Paperback. Condizione: Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments.

Taschenbuch. Condizione: Neu. Neuware - AI assistants answer questions. Autonomous AI agents are designed to pursue goals, make decisions, use tools, observe results, and continue working across multiple steps.Building Autonomous AI Agents with Claude AI is a practical guide to designing, building, evaluating, and operating AI agents that can perform complex tasks with controlled autonomy.You will begin by learning what actually makes a system an AI agent, how agents differ from chatbots and ordinary API calls, and when an agent is genuinely necessary. The book introduces the autonomy spectrum and shows how to choose an appropriate level of independence based on risk, reversibility, and the cost of human review.You will then learn the reason-act-observe loop behind autonomous agents. The book explains how agents decide what to do, call tools, receive results, continue or stop, and handle failures. You will learn how to design purpose-built tools, create reliable schemas, use the Model Context Protocol, and test tools before allowing an agent to operate with them.The next stage covers AI agent orchestration and complex multi-step tasks. Learn how to break goals into executable steps, delegate work to sub-agents, choose between plan-then-execute and interleaved planning, manage persistent state, distinguish memory from context, prevent state drift, resume long-running tasks, and handle failures without creating worse outcomes.The book then focuses on AI agent safety and production engineering: permissions, least privilege, approval gates, sandboxing, human-in-the-loop controls, audit logs, evaluation datasets, regression testing, human baselines, observability, cost management, latency, incremental deployment, model upgrades, and behavioral drift.This book is written for developers, AI engineers, software architects, technical founders, and builders who want to move beyond simple prompts and create autonomous AI agents capable of performing real multi-step work.The goal is not maximum autonomy.The goal is useful autonomy that can be understood, evaluated, controlled, and trusted. …

Condizione: New. In English.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. Neuware - What if your Python programs could do more than follow instructions-what if they could reason, use tools, make decisions, and complete tasks with minimal supervision AI Agents with Python shows you how to build practical AI agents that can understand goals, plan actions, interact with tools, and respond intelligently to changing situations. Instead of creating simple scripts that perform one fixed task, you'll learn how to design applications that can work through multi-step problems and automate useful workflows.Inside, you'll learn how to: - Understand the architecture and core components behind AI agents- Build AI-powered agents with Python through practical examples- Connect agents to tools, APIs, files, databases, and external services- Design prompts and instructions that produce more reliable agent behavior- Give agents memory and useful context across tasks- Create agents capable of planning and executing multi-step workflows- Handle errors, unexpected responses, and unreliable outputs- Build practical automation solutions using modern AI techniques- Improve agent reliability, testing, security, and performanceWhether you're a Python developer exploring artificial intelligence, a programmer interested in AI automation, or a beginner who wants to understand how AI agents are actually built, this book gives you a practical foundation you can apply to your own projects.Ready to start building AI agents instead of only using them Get your copy of AI Agents with Python today and start creating intelligent Python applications that can reason, use tools, and accomplish real tasks. …

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and - velopment of intelligent information technologies. Indeed, MAS o ers powerful metaphors for information system conceptualization, a range of new techniques, and technologies speci cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of arti cial intelligence, formulated in the we- known question 'Where does the knowledge come from ', thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, con rms the fact that both technologies are capable of mutual enri- ment and their integrateduse may result in intelligent information systems with new emergent properties. The 1st International Workshop 'Autonomous Int- ligent Systems: Agents and Data Mining' (AIS-ADM 2005, June 6-8, 2005, St. Petersburg, Russia) was a response to the aforementioned trend. It con rmed the interest of academic and industry communities in advancing the e orts to integrate achievements in MAS and KDD, thus resulting in a new dimension and further progress in intelligent information technology.…

Taschenbuch. Condizione: Neu. Autonomous Intelligent Systems: Multi-Agents and Data Mining | Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings | Vladimir Gorodetsky (u. a.) | Taschenbuch | xiv | Englisch | 2007 | Springer | EAN 9783540728382 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and - velopment of intelligent information technologies. Indeed, MAS o ers powerful metaphors for information system conceptualization, a range of new techniques, and technologies speci cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of arti cial intelligence, formulated in the we- known question 'Where does the knowledge come from ', thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, con rms the fact that both technologies are capable of mutual enri- ment and their integrateduse may result in intelligent information systems with new emergent properties. The 1st International Workshop 'Autonomous Int- ligent Systems: Agents and Data Mining' (AIS-ADM 2005, June 6-8, 2005, St. Petersburg, Russia) was a response to the aforementioned trend. It con rmed the interest of academic and industry communities in advancing the e orts to integrate achievements in MAS and KDD, thus resulting in a new dimension and further progress in intelligent information technology. 326 pp. Englisch. …

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007.The 17 revised full papers and six revised sho.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is your definitive guide to building intelligent, autonomous, and collaborative AI systems on the Microsoft ecosystem. It covers the rapid evolution of Agentic AI and multi-agent frameworks, empowering developers, architects, and AI practitioners to design and implement real-world, production-ready multi-agent solutions using Azure OpenAI and emerging protocols such as Model Context Protocol (MCP) and A2A.Starting with the fundamentals of Generative AI, Large Language Models (LLMs), and Agentic AI, you ll dive into the practical aspects of building agents using Microsoft s Agent Framework. You ll learn how to architect, fine-tune, and secure Azure OpenAI services, build structured multi-turn conversations, and develop specialized agents that can communicate, collaborate, and adapt autonomously.The book goes beyond theory by walking you through hands-on, industry-grade projects such as Smart Travel Agent and Smart Restaurant to demonstrate how multi-agent systems can transform real-world scenarios. Moving ahead, you will also explore advanced topics like Retrieval-Augmented Generation (RAG), implementing Model Context Protocol for interoperability, and ensuring ethical, responsible AI design.By the end of this book, you ll not only understand the technical depth of multi-agent architectures but also gain the practical expertise to design, deploy, and scale intelligent, context-aware AI ecosystems on Azure.What You Will Learn:Multiple autonomous agents based Agentic AI solutions using Azure AI and Microsoft Agent FrameworkMulti-Agent collaboration using Model Context Protocol (MCP) and A2ARAG-Enabled Agents using Azure AI Search Best practices and pitfalls to build Agentic AI solutions along with social and ethical considerations.Who This Book Is For:Whether you are a developer, data scientist, or solution architect, this book will help you stay ahead in the rapidly evolving world of Agentic AI. …