Agent multi agent systems distributed (82 Ergebnisse)

Zustand: Very Good. Zustand des Schutzumschlags: 38311486. 1792742074. 10/23/2026 7:54:34 AM.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780201360486. …

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780201360486.…

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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.…

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

paperback. Zustand: Befriedigend. 212 Seiten; 9783540654773.4 Gewicht in Gramm: 500.

Hardcover. Zustand: Brand New. 2001 edition. 143 pages. 9.50x6.50x0.50 inches. In Stock.

Hardcover. Zustand: Brand New. 171 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the challenge of unified and distributed computing in strong heterogeneous environments ranging from Sensor Networks to Internet Clouds by using Mobile Multi-Agent Systems. A unified agent behaviour model, agent processing platform architecture, and synthesis framework should close the operational gap between low-resource data processing units, for example, single microchips embedded in materials, mobile devices, and generic computers including servers. robustness, scalability, self-organization, reconfiguration and adaptivity including learning are major cornerstones.The outstanding book covers various topics to reach the ambitious goal of an unified smart and distributed computing model contributing to the design of future intelligent sensing systems: Multi-Agent Systems, Agent Processing Platforms, System-on-Chip Designs, Architectural and Algorithmic Scaling, High-level Synthesis, Agent Programming Models and Languages, Self-organizing Systems, Numerical and AI Algorithms, Distributed Machine Learning, Energy Management, Distributed Sensor Networks, and multi-domain simulation techniques. None of these topics may be considered stand-alone. Only a balanced composition of all topics can meet the requirements in future computing networks, for example, the Internet-of-Things with billions of heterogeneous devices.…

Paperback. Zustand: Brand New. reprint edition. 171 pages. 9.25x6.10x0.42 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the strictly refereed post-workshop proceedings originating from the Second Australian Workshop on Distributed Artificial Intelligence, held in Cairns, QLD, Australia, in August 1996, as a satellite meeting of PRICAI'96.The 13 revised full papers presented have been selected for inclusion in the book during a very careful and iterated process of reviewing and improvement. Among these papers are three invited ones, by leading scientists, solicited in order to round off the overall presentation and coverage of relevant topics. A wide range of multi-agent systems issues is covered including methodologies, cooperation, conflict resolution, applications, mobility, adaptation, negotiation, and implementations.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Team Formation by Self-Interested Mobile Agents.- Conception, Behavioural Semantics and Formal Specification of Multi-agent Systems.- Learning Message-Related Coordination Control in Multiagent Systems.- Multi-Agent Reinforcement Learning System Integrating Exploitation- and Exploration-Oriented Learning.- Motivated Behaviour for Goal Adoption.- Physically Based, Self-Organized Cellular Automata.- Service Contract Negotiation - Agent-Based Support for Open Service Environments.- An Awareness-Based Model for Agents Involved in Reporting Activities.- : A Language for Modelling and Designing Agent-Based Intelligent Systems.- Programming Internet Based DAI Applications in Qu-Prolog.- Design of an Agent-Based, Multi-user Scheduling Implementation.- A Team of Agents Cooperating for Intelligent Tutoring.- Secure Information Gathering Agent for Internet Trading.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-workshop proceedings of three workshops held in conjunction with the 10th Australian Joint Conference on Artificial Intelligence in Perth, Australia, in December 1997.The 17 revised full papers presented were carefully reviewed for inclusion in the book. The book is divided into sections on formal methods of agency, reasoning agents, communication and coordination, social interaction, and practical issues for distributed artificial intelligence systems.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - When multiple agents are in a shared environment, there usually exist con straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agent constraints. More specifically, a distributed CSP is a constraint satisfaction problem (CSP) in which multiple agents are involved. A constraint satisfaction problem is a problem in which the goal is to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of artificial intelligence (AI) problems can be formalized as CSPs. Therefore, the research on CSPs has a long and distinguished history in AI (Mackworth 1992; Dechter 1992; Tsang 1993; Kumar 1992). A distributed CSP is a CSP in which variables and constraints are distributed among multiple autonomous agents. Various application problems in Multi-agent Systems (MAS) that are concerned with finding a consistent combination of agent actions can he formalized as dis tributed CSPs. Therefore, we can consid(~r distributed CSPs as a general framework for MAS, and algorithms for solving distributed CSPs as impor tant infrastructures for cooperation in MAS. This book gives an overview of the research on distributed CSPs, as well as introductory material on CSPs. In Chapter 1. we show the problem defi nition of normal, centralized CSPs and describe algorithms for solving CSPs.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - When multiple agents are in a shared environment, there usually exist con straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agent constraints. More specifically, a distributed CSP is a constraint satisfaction problem (CSP) in which multiple agents are involved. A constraint satisfaction problem is a problem in which the goal is to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of artificial intelligence (AI) problems can be formalized as CSPs. Therefore, the research on CSPs has a long and distinguished history in AI (Mackworth 1992; Dechter 1992; Tsang 1993; Kumar 1992). A distributed CSP is a CSP in which variables and constraints are distributed among multiple autonomous agents. Various application problems in Multi-agent Systems (MAS) that are concerned with finding a consistent combination of agent actions can he formalized as dis tributed CSPs. Therefore, we can consid(~r distributed CSPs as a general framework for MAS, and algorithms for solving distributed CSPs as impor tant infrastructures for cooperation in MAS. This book gives an overview of the research on distributed CSPs, as well as introductory material on CSPs. In Chapter 1. we show the problem defi nition of normal, centralized CSPs and describe algorithms for solving CSPs.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors. The book, primarily aimed at researchers in optimization and control, considers three different information settings in multi-agent systems: oracle-based, communication-based, and payoff-based. For each of these information types, an efficient optimization algorithm is developed, which leads the system to an optimal state. The optimization problems are set without such restrictive assumptions as convexity of the objective functions, complicated communication topologies, closed-form expressions for costs and utilities, and finiteness of the system's state space.…

Zustand: New. In English.

hardcover. Zustand: Fine.

Paperback. Zustand: Brand New. 204 pages. 6.14x0.46x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications | Based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997. | Wayne Wobcke (u. a.) | Taschenbuch | xii | Englisch | 1998 | Springer | EAN 9783540647690 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems | Tatiana Tatarenko | Taschenbuch | ix | Englisch | 2018 | Springer | EAN 9783319880396 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Unified Distributed Sensor and Environmental Information Processing with Multi-Agent Systems | Models, Platforms, and Technological Aspects. Habilitationsschrift | Stefan Bosse | Taschenbuch | Englisch | epubli | EAN 9783746759470 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Zustand: New. Wei Wang received her B.Eng degree in Electrical Engineering and Automation from Beihang University (China) in 2005, M.Sc degree in Radio Frequency Communication Systems with Distinction from University of Southampton (UK) in 2006 and Ph.D degree from Na.

Zustand: New. In English.