Cooperation in Industrial Multi-agent Systems


Book Description

Assuming no prior knowledge of Distributed Artificial Intelligence (DAI), this book deals with the complete development lifecycle of multi-agent systems for industrial applications.




Cooperative Control of Distributed Multi-Agent Systems


Book Description

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.




Cooperation In Industrial Muti-agent Systems


Book Description

Distributed Artificial Intelligence (DAI) is a vibrant sub-field of Artificial Intelligence concerned with coordinating the knowledge and actions of multiple interacting agents. Although DAI has the potential to overcome many of the problems currently associated with constructing software systems which are large, complex and knowledge rich, there have, as yet, been relatively few attempts to apply it to real world applications. To help pave the way for such future developments, this book recounts the insights gained and the breakthroughs made, whilst building multiple agent systems in the domains of electricity transportation management and control of a particle accelerator. These experiences cover the complete development lifecycle of multi-agent systems for industrial applications: ranging from the initial design, through the implementation, to the testing and evaluation phases. The book's other main features are that it: provides a thorough and up-to-date explanation of the foundation concepts of DAI, describes a new paradigm for building multi-agent systems which uses the concept of reusable cooperation knowledge and develops a new model of cooperation based on the notion of joint intentions.




Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing


Book Description

Agent Technology, or Agent-Based Approaches, is a new paradigm for developing software applications. It has been hailed as 'the next significant breakthrough in software development', and 'the new revolution in software' after object technology or object-oriented programming. In this context, an agent is a computer system which is capable of act




Cooperative Control of Multi-Agent Systems


Book Description

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.




Multi-Agent Systems and Applications III


Book Description

This book constitutes the refereed proceedings of the International Central and European Conference on Multi-Agent Systems, CEEMAS 2003, held in Prague, Czech Republic in June 2003. The 58 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on formal methods, social knowledge and meta-reasoning, negotiation, and policies, ontologies and languages, planning, coalitions, evolution and emergent behaviour, platforms, protocols, security, real-time and synchronization, industrial applications, e-business and virtual enterprises, and Web and mobile agents.




Industrial Agents


Book Description

Industrial Agents explains how multi-agent systems improve collaborative networks to offer dynamic service changes, customization, improved quality and reliability, and flexible infrastructure. Learn how these platforms can offer distributed intelligent management and control functions with communication, cooperation and synchronization capabilities, and also provide for the behavior specifications of the smart components of the system. The book offers not only an introduction to industrial agents, but also clarifies and positions the vision, on-going efforts, example applications, assessment and roadmap applicable to multiple industries. This edited work is guided and co-authored by leaders of the IEEE Technical Committee on Industrial Agents who represent both academic and industry perspectives and share the latest research along with their hands-on experiences prototyping and deploying industrial agents in industrial scenarios. - Learn how new scientific approaches and technologies aggregate resources such next generation intelligent systems, manual workplaces and information and material flow system - Gain insight from experts presenting the latest academic and industry research on multi-agent systems - Explore multiple case studies and example applications showing industrial agents in a variety of scenarios - Understand implementations across the enterprise, from low-level control systems to autonomous and collaborative management units




Cooperative Control of Multi-Agent Systems


Book Description

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors' recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of specialties in electrical, mechanical or aerospace engineering fields will use this book as a key resource. - Helps shape the reader's understanding of optimal and robust cooperative control design techniques for multi-agent systems - Presents new theoretical control challenges and investigates unresolved/open problems - Explores future research trends in multi-agent systems - Offers a certain amount of analytical mathematics, practical numerical procedures, and actual implementations of some proposed approaches




Multiagent Systems


Book Description

An introduction to multiagent systems and contemporary distributed artificial intelligence, this text provides coverage of basic topics as well as closely-related ones. It emphasizes aspects of both theory and application and includes exercises of varying degrees of difficulty.




Intelligent Agents and Multi-Agent Systems


Book Description

PRIMA 2008 was the 11th in a series of conferences gathering researchers - voted to developing intelligent agents and multi-agent technologies from Asia and the Paci?c regions. From its ?rst incarnation over a decade ago, PRIMA has emerged as a signi?cant international forum, facilitating the exchange and dissemination of innovative research from around the globe. PRIMA 2008 was held in Vietnam, a tribute to this country’s emerging s- enti?c vitality and importance as a developing innovation center. The Program Committee received 56 submissions from 20 countries. Many of these papers are the work of PhD or Masters students from Asian countries including - rea, Japan, Indonesia, Malaysia, Iran, India, and Vietnam. In accordance with the rules, each submission was carefully peer-reviewed by three Program C- mittee referees. Only 19 submissions were accepted as regular papers, with a competitive rate of 33%. Additionally, the Program Committee decided to accept 22 short papers mainly written by graduate students, allowing our young colleagues an opp- tunity to present their work and new perspectives. These fresh perspectives enhanced our experienced of the conference and complemented the high quality of the professional papers submitted.