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An Introduction to MultiAgent -

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 at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago. With this exciting new edition, the coverage of multi-agents is completely updated to include several areas that have come to prominence in the last several years, including auctions, computational social choice, and markov decision processes. In turn, a variety of topics that were initially considered critical have dwindled in importance, so the coverage of that subject matter is decreased with this new edition. The result of this redefined balance of coverage is a timely and essential resource on a popular topic. Introduces you to the concept of agents and multi-agent systems and the main applications for which they are appropriate Discusses the main issues surrounding the design of intelligent agents and a multi-agent society Delves into a number of typical applications for agent technology Addresses deductive reasoning agents, practical reasoning agents, reactive and hybrid agents, and more Reviews multi-agent decision making, communic...
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical -

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming. Written by two of the leading researchers of this engaging field, this book will surely serve as THE reference for researchers in the fastest-growing area of computer science, and be used as a text for advanced undergraduate or graduate courses.
Teamwork in Multi-Agent Systems: A Formal -

Teamwork in Multi-Agent Systems: A Formal Approach

What makes teamwork tick? Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules! Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings. Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action. The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful: What is teamwork, and how can a logical view of it help in designing teams of agents? What is the role of agents' awareness in an uncertain, dynamic environment? How does collective intention constitute a team? How are plan-based collective commitments related to team action? How can one tune collective commitment to the team's organizational structure and its communication abilities? What are the methodological underpinnings for teamwork in ...
Cognitive Multi-agent Systems: Structures, Strategies and Applications to Mobile Robotics and Robosoccer (Studies in Systems, Decision and -

Cognitive Multi-agent Systems: Structures, Strategies and Applications to Mobile Robotics and Robosoccer (Studies in Systems, Decision and Control)

The book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category. The described MAS is designed for dynamic, quickly changing environments, in which not only the actions of our MAS are observed, but also those of the opposing MAS. It actively tries to affect the environment to score goals faster than the opposing MAS. Multi-agent systems (MAS) are mostly applied in the environments in which they exist and act without an opposing system. The book also describes strategies based on a supervisor that makes decisions depending on behavior prediction of the opposing MAS and the ball movement in the working place. A sophisticated distribution of tasks was designed for each agent to cooperate in order score goals as fast as possible. Simultaneously, these agents try, by permitted means, to prevent the enemy agents from scoring goals. The approach described is an excellent guide to the constantly evolving abilities of mobile robotics, both for real-world applications, such as cooperation of multiple robots in life-saving activities, and for the steadily developing applications of mobile robots in various robotic competitions (e.g. Robocup, etc.). The book provides readers with high-level knowledge on how to design strateg...
Networked Control of Multi-agent Systems: Consensus and Synchronisation, Communication Structure Design, Self-organisation in Networked Systems, Event-triggered Control (De Gruyter -

Networked Control of Multi-agent Systems: Consensus and Synchronisation, Communication Structure Design, Self-organisation in Networked Systems, Event-triggered Control (De Gruyter Stem)

During the last decade, networked control systems have developed as a new area of control theory, which studies a set of physical components and control systems that are connected by a digital communication network. Potential application areas are multi-vehicle systems (e.g. platoons on highways) or power grids. There are two new challenges of this theory. First, the data network provides flexible communication means in which every component in a control loop may send information to any other component. The methodological problem is to elaborate systematic ways for the selection of information structures that are suitable for a given control task. Second, as many networks used for control purposes act simultaneously as communication medium for other tasks, time delays in the delivery of the information or packet loss regularly occur and the control systems have to be made tolerant against such imperfections. This is the first textbook about networked control that gives a thorough introduction to the graph-theoretical and systems-theoretical foundations and combines both to get systematic ways for analysing networked control systems and for choosing the communication structure of the controller. It starts with consensus and synchronisation as the classical problems of the field a...
Cooperative Control of Multi-Agent Systems: Theory and -

Cooperative Control of Multi-Agent Systems: Theory and Applications

A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, cons...
PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings (Lecture Notes in Computer -

PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27 full papers presented and 31 short papers were carefully reviewed and selected from 103 submissions.  PRIMA presents subjects in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief and disaster management, and data mining and analytics.
Developing Multi-Agent Systems with -

Developing Multi-Agent Systems with JADE

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 beha...
Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (Communications and Control -

Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (Communications and Control Engineering)

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented.Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.
An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (The MIT -

An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (The MIT Press)

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples.The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach―with hundreds of examples and exercises using NetLogo―enables readers to begin constructing models immediately, regardless of experience or discipline.The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information a...
Multiagent Systems - Multi Agent Systems
Multi Agent Systems

Multiagent Systems

Multiagent Systems - eBook - Multi Agent Systems
Multi Agent Systems

Multiagent Systems - eBook

Multi-Agent Systems - eBook - Multi Agent Systems
Multi Agent Systems

Multi-Agent Systems - eBook

Teamwork in Multi-Agent Systems - - Multi Agent Systems
Multi Agent Systems

Teamwork in Multi-Agent Systems - eBook

Multi-Agent Systems and Agreement Technologies - - Multi Agent Systems
Multi Agent Systems

Multi-Agent Systems and Agreement Technologies - eBook

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DeepMind - The Role of Multi-Agent Learning in Artificial Intelligence Research

Multi Agent Systems

Thore Graepel is a Research Scientist at Google DeepMind, and Professor of Computer Science at UCL. Recorded: March, 2017

Tags: singularity,transhumanism,ai,artificial intelli...