Agent multi agent systems distributed (83 Ergebnisse)
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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.
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paperback. Zustand: Befriedigend. 212 Seiten; 9783540654773.4 Gewicht in Gramm: 500.
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Hardcover. Zustand: Brand New. 2001 edition. 143 pages. 9.50x6.50x0.50 inches. In Stock.
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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 prese…nted 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.
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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 r…evised 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.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains revisedversions of selected papers presented at the Fourth Australian Workshop on Distributed Arti cial Intelligence (DAK 91), together with a set of invited papers. Each paper has been reviewed by at least two program committee…members. The workshop was held in Brisbane, Queensland, Australia on July 17,1992. The goalof the workshopwas to promoteresearchin distributed arti cial intelligence and multi-agent systems, both nationally and internationally. Thepapers covera widerangeofissuesin the eldof distributed arti cial intelligence and multi-agent systems, such as theories, languages, and applications. Manypeoplecontributedtothesuccessofthis workshop. Wewouldliketothank all the authors who submitted papers to the workshop. Many thanks also to the members of the programme committee who diligently reviewed all the papers submitted. Finally, we thank the editorial sta of Springer-Verlag for publishing this contribution to the Lecture Notes in Arti cial Intelligence series. October 1998 Chengqi Zhang and Dickson Lukose Programme Committee Chengqi Zhang (Co-Chair) University of New England, Australia Dickson Lukose (Co-Chair) Brightware Inc. , USA Victor Lesser University of Massachusetts, USA Je rey S. Rosenschein Hebrew University, Israel Toshiharu Sugawara NTT Basic Research Labs, Japan Rose Dieng ACACIA Project, INRIA, France Norbert Glaser CRIN-INRIA Lorraine, France Sascha Ossowski Rey Juan Carlos Univ, Spain Michael Luck University of Warwick, UK Mark d Inverno University of Westminster, UK Tim Norman University of London, UK Douglas Norrie University of Calgary, Canada Bernard Moulin Laval University, Canada Zhisheng Huang University of London, UK Minjie Zhang Edith Cowan University, Australia Brahim Chaib-draa Laval University, Canada Table of Contents TeamFormationbySelf-InterestedMobileAgents . . . . . . . . . . . . . . . . . . . . . . . . . .
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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.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, 2026
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Verlag: CRC Press, 2024
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hardcover. Zustand: Fine.
Distributed Adaptive Consensus Control Of Uncertain Multi-Agent Systems
Wang, Wei Long, Jiang Huang, Jiangshuai Wen, Changyun (Nanyang Technological University, Singapore)
Sprache: Englisch
Verlag: Taylor & Francis Ltd, 2026
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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 comb…ination 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.
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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.
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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.
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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 platfor…m 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.
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