An Introduction to MultiAgent Systems

An Introduction to MultiAgent Systems

The eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced ...

Author: Michael Wooldridge

Publisher: John Wiley & Sons

ISBN: 9780470519462

Category: Computers

Page: 461

View: 299

This book will introduce students to intelligent agents, explain what these agents are, how they are constructed and how they can be made to co-operate effectively with one another in large-scale systems.
Categories: Computers

An Introduction to Multiagent Systems

An Introduction to Multiagent Systems

This is the first textbook to be explicitly designed for use as a course text for an undergraduate/graduate course on multi-agent systems.

Author: Michael J. Wooldridge

Publisher:

ISBN: OCLC:990592933

Category:

Page: 368

View: 659

This is the first textbook to be explicitly designed for use as a course text for an undergraduate/graduate course on multi-agent systems. Assuming only a basic understanding of computer science, this text provides an introduction to all the main issues in the theory and practice of intelligent agents and multi-agent systems.* The companion Web Site includes sample exercises, lecture slidest and hyperlinks to software referred to in the book* Introduces agents, explains what agents are, how they are constructed and how they can be made to co-operate effectively with one another in.
Categories:

Multiagent Systems

Multiagent Systems

This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study.

Author: Gerhard Weiss

Publisher: Intelligent Robotics and Autonomous Agents series

ISBN: 9780262533874

Category: Distributed artificial intelligence

Page: 920

View: 696

The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents--computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, J rgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein
Categories: Distributed artificial intelligence

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

The text is centered on the concept of an agent as decision maker.

Author: Nikos Vlassis

Publisher: Morgan & Claypool Publishers

ISBN: 9781598295269

Category: Computers

Page: 71

View: 775

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
Categories: Computers

Multi agent Systems

Multi agent Systems

Translated and updated from the original French, this book was winner of the 1996 French Association of Engineering and Information Systems award to the most outstanding technical book of the year.

Author: Jacques Ferber

Publisher: Addison-Wesley Professional

ISBN: UOM:39015046507193

Category: Computers

Page: 509

View: 810

What are multi-agent systems? How do they work? What do they do? If you are looking for the answers to these questions, read on; for Jacques Ferber's authoritative book is the first to provide a single, coherent overview of multi-agent systems. Introduces and defines key concepts throughout the text; provides numerous examples to illustrate core principles; draws on contributions from different disciplines to present a holistic, comprehensive picture of state-of-the art agent technology; and describes all the latest developments in the field and encourages the reader to reflect on possibilities for the future.
Categories: Computers

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

In this chapter we give a brief introduction to multiagent systems, discuss their
differences with single-agent systems, and outline possible applications and
challenging issues for research. 1.1 MULTIAGENT SYSTEMS AND
DISTRIBUTED AI ...

Author: Nikos Vlassis

Publisher: Morgan & Claypool Publishers

ISBN: 9781598295276

Category: Mathematics

Page: 71

View: 643

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
Categories: Mathematics

Developing Multi Agent Systems with JADE

Developing Multi Agent Systems with JADE

Developing Multi-Agent Systems with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding to give a comprehensive guide to programming with JADE.

Author: Fabio Luigi Bellifemine

Publisher: Wiley

ISBN: UOM:39015067640493

Category: Technology & Engineering

Page: 300

View: 635

Learn how to employ JADE to build multi-agent systems! JADE (Java Agent DEvelopment framework) is a middleware for the development of applications, both in the mobile and fixed environment, based on the Peer-to-Peer intelligent autonomous agent approach. JADE enables developers to implement and deploy multi-agent systems, including agents running on wireless networks and limited-resource devices. Developing Multi-Agent Systems with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding to give a comprehensive guide to programming with JADE. Basic features such as creating agents, agent tasks, agent communication, agent discovery and GUIs are covered, as well as more advanced features including ontologies and content languages, complex behaviours, interaction protocols, agent mobility, and the in-process interface. Issues such as JADE internals, running JADE agents on mobile devices, deploying a fault tolerant JADE platform, and main add-ons are also covered in depth. Developing Multi-Agent Systems with JADE: Comprehensive guide to using JADE to build multi-agent systems and agent orientated programming. Describes and explains ontologies and content language, interaction protocols and complex behaviour. Includes material on persistence, security and a semantics framework. Contains numerous examples, problems, and illustrations to enhance learning. Presents a case study demonstrating the use of JADE in practice. Offers an accompanying website with additional learning resources such as sample code, exercises and PPT-slides. This invaluable resource will provide multi-agent systems practitioners, programmers working in the software industry with an interest on multi-agent systems as well as final year undergraduate and postgraduate students in CS and advanced networking and telecoms courses with a comprehensive guide to using JADE to employ multi agent systems. With contributions from experts in JADE and multi agent technology.
Categories: Technology & Engineering

Multiagent Systems

Multiagent Systems

This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.

Author: Magdi S. Mahmoud

Publisher: CRC Press

ISBN: 9781000078107

Category: Computers

Page: 400

View: 847

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.
Categories: Computers

Ontology Based Multi Agent Systems

Ontology Based Multi Agent Systems

In this book we describe ontology and agent-based systems individually, and highlight advantages of integration of the two different and complementary te- nologies.

Author: Maja Hadzic

Publisher: Springer Science & Business Media

ISBN: 9783642019036

Category: Mathematics

Page: 274

View: 175

During the last two decades, the idea of Semantic Web has received a great deal of attention. An extensive body of knowledge has emerged to describe technologies that seek to help us create and use aspects of the Semantic Web. Ontology and agent-based technologies are understood to be the two important technologies here. A large number of articles and a number of books exist to describe the use individually of the two technologies and the design of systems that use each of these technologies individually, but little focus has been given on how one can - sign systems that carryout integrated use of the two different technologies. In this book we describe ontology and agent-based systems individually, and highlight advantages of integration of the two different and complementary te- nologies. We also present a methodology that will guide us in the design of the - tegrated ontology-based multi-agent systems and illustrate this methodology on two use cases from the health and software engineering domain. This book is organized as follows: • Chapter I, Current issues and the need for ontologies and agents, describes existing problems associated with uncontrollable information overload and explains how ontologies and agent-based systems can help address these - sues. • Chapter II, Introduction to multi-agent systems, defines agents and their main characteristics and features including mobility, communications and collaboration between different agents. It also presents different types of agents on the basis of classifications done by different authors.
Categories: Mathematics

Multiagent Systems for Manufacturing Control

Multiagent Systems for Manufacturing Control

This book presents a novel approach to the design of manufacturing control systems, based around the idea of agents, semiautonomous decision makers that cooperate to process goods and meet orders.

Author: Stefan Bussmann

Publisher: Springer

ISBN: 3642058906

Category: Technology & Engineering

Page: 290

View: 203

Presents a methodology developed by DaimlerChrysler. Illustrates the methodology through detailed case studies.
Categories: Technology & Engineering

Programming Multi Agent Systems in AgentSpeak using Jason

Programming Multi Agent Systems in AgentSpeak using Jason

Programming Multi-Agent Systems in AgentSpeak using Jason · Describes and explains in detail the AgentSpeak extension interpreted by Jason and shows how to create multi-agent systems using the Jason platform. · Reinforces learning with ...

Author: Rafael H. Bordini

Publisher: John Wiley & Sons

ISBN: 9780470061831

Category: Technology & Engineering

Page: 292

View: 405

Jason is an Open Source interpreter for an extended version of AgentSpeak – a logic-based agent-oriented programming language – written in JavaTM. It enables users to build complex multi-agent systems that are capable of operating in environments previously considered too unpredictable for computers to handle. Jason is easily customisable and is suitable for the implementation of reactive planning systems according to the Belief-Desire-Intention (BDI) architecture. Programming Multi-Agent Systems in AgentSpeak using Jason provides a brief introduction to multi-agent systems and the BDI agent architecture on which AgentSpeak is based. The authors explain Jason’s AgentSpeak variant and provide a comprehensive, practical guide to using Jason to program multi-agent systems. Some of the examples include diagrams generated using an agent-oriented software engineering methodology particularly suited for implementation using BDI-based programming languages. The authors also give guidance on good programming style with AgentSpeak. Programming Multi-Agent Systems in AgentSpeak using Jason Describes and explains in detail the AgentSpeak extension interpreted by Jason and shows how to create multi-agent systems using the Jason platform. Reinforces learning with examples, problems, and illustrations. Includes two case studies which demonstrate the use of Jason in practice. Features an accompanying website that provides further learning resources including sample code, exercises, and slides This essential guide to AgentSpeak and Jason will be invaluable to senior undergraduate and postgraduate students studying multi-agent systems. The book will also be of interest to software engineers, designers, developers, and programmers interested in multi-agent systems.
Categories: Technology & Engineering

Multi agent Systems for Container Terminal Management

Multi agent Systems for Container Terminal Management

[ 21 ] M. Wooldridge , “ An introduction to multi agent systems ” , John Wiley and
Sons Ltd. , West Sussex , England , 2002 . [ 22 ] F. Wernstedt , “ Simulation , an
overview " , Technical Report No. 2001 : 5 , Blekinge Institute of Technology ...

Author: Lawrence Edward Henesey

Publisher:

ISBN: NWU:35556038323945

Category: Container terminals

Page: 275

View: 932

Categories: Container terminals

Holonic and Multi Agent Systems for Manufacturing

Holonic and Multi Agent Systems for Manufacturing

This book constitutes the refereed proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, held in Linz, Austria, August 31 - September 2, 2009.

Author: Vladimir Marik

Publisher: Springer Science & Business Media

ISBN: 9783642036668

Category: Business & Economics

Page: 326

View: 659

This book constitutes the refereed proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, held in Linz, Austria, August 31 - September 2, 2009. The 31 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on introduction & motivation, knowledge-centered approaches, selected theoretical aspects, MAS scheduling & simulation, holonic systems for manufacturing, and MAS & holonic applications.
Categories: Business & Economics

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties ...

Author: Zhongkui Li

Publisher: CRC Press

ISBN: 9781466569973

Category: Computers

Page: 262

View: 866

Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to cooperative control and graph theory, this monograph: Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems Studies the H∞ and H2 consensus problems for linear multi-agent systems subject to external disturbances Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input Examines the distributed containment control problem for the case with multiple leaders Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems Cooperative Control of Multi-Agent Systems: A Consensus Region Approach provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.
Categories: Computers

IP Network based Multi agent Systems for Industrial Automation

IP Network based Multi agent Systems for Industrial Automation

This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations.

Author: David P. Buse

Publisher: Springer Science & Business Media

ISBN: 9781846286476

Category: Technology & Engineering

Page: 187

View: 840

This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents. Mobile agents are applied to the retrieval and analysis of substation data and to remote operator intervention.
Categories: Technology & Engineering

Multiagent System Technologies

Multiagent System Technologies

D. Reidel , 1977 . 8. P. Besnard and A. Hunter . Introduction to actual and
potential contradictions . In D. M. Gabbay and P. Smets , editors , Handbook of
Defeasible Reasoning and Uncertainty Management Systems : Volume II , pages
1-9 .

Author:

Publisher:

ISBN: UOM:39015058298905

Category: Distributed artificial intelligence

Page:

View: 361

Categories: Distributed artificial intelligence

Formation Control of Multi Agent Systems

Formation Control of Multi Agent Systems

Formation Control of Multi-Agent Systems: A Graph Rigidity Approach Marcio de Queiroz, Louisiana State University, USA Xiaoyu Cai, FARO Technologies, USA Matthew Feemster, U.S. Naval Academy, USA A comprehensive guide to formation control ...

Author: Marcio de Queiroz

Publisher: John Wiley & Sons

ISBN: 9781118887462

Category: Technology & Engineering

Page: 208

View: 952

Formation Control of Multi-Agent Systems: A Graph Rigidity Approach Marcio de Queiroz, Louisiana State University, USA Xiaoyu Cai, FARO Technologies, USA Matthew Feemster, U.S. Naval Academy, USA A comprehensive guide to formation control of multi-agent systems using rigid graph theory This book is the first to provide a comprehensive and unified treatment of the subject of graph rigidity-based formation control of multi-agent systems. Such systems are relevant to a variety of emerging engineering applications, including unmanned robotic vehicles and mobile sensor networks. Graph theory, and rigid graphs in particular, provides a natural tool for describing the multi-agent formation shape as well as the inter-agent sensing, communication, and control topology. Beginning with an introduction to rigid graph theory, the contents of the book are organized by the agent dynamic model (single integrator, double integrator, and mechanical dynamics) and by the type of formation problem (formation acquisition, formation manoeuvring, and target interception). The book presents the material in ascending level of difficulty and in a self-contained manner; thus, facilitating reader understanding. Key features: Uses the concept of graph rigidity as the basis for describing the multi-agent formation geometry and solving formation control problems. Considers different agent models and formation control problems. Control designs throughout the book progressively build upon each other. Provides a primer on rigid graph theory. Combines theory, computer simulations, and experimental results. Formation Control of Multi-Agent Systems: A Graph Rigidity Approach is targeted at researchers and graduate students in the areas of control systems and robotics. Prerequisite knowledge includes linear algebra, matrix theory, control systems, and nonlinear systems.
Categories: Technology & Engineering