Autonomous intelligent systems multi agents (6 Ergebnisse)

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.…

Taschenbuch. Zustand: 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. …

Zustand: New. In English.

Sprache: Englisch OriginalKarton. Noch eingeschweißtes Exemplar.

Taschenbuch. Zustand: 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. Zustand: 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.…