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

This book constitutes the refereed proceedings of the 6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013, held in Prague, Czech Republic, in August 2013, in conjunction with DEXA 2013. The 25 revised full papers presented together with two invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: MAS in automation and manufacturing; design, simulation and validation; MAS in transportation systems; industrial applications; and new trends.

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.

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

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.

Reports for 1897-1908 include the Report of inspection of factories, 5th-16th.