Abstract
For over a quarter of a century, multi-agent systems have been considered as one of the most promising technologies for conceptualization, software development and implementation of Artificial Intelligence (AI) solutions. Not so widely but multi-agent technology is also considered as a way of designing complex adaptive systems based on bio-inspired principles of selforganization and evolution. However, in practice, the industry rarely uses multi-agent technology, despite the appearance of new classes of applications for which it is the perfect match, for example, smart cyber-physical systems with digital twins of controlled objects. The paper analyzes the recent anticipations and real achievements in the practical use of multi-agent systems at the industry level. It also identifies the engineering problems that currently impede the extensive industrial implementation of multi-agent systems and technologies as well as the ways to overcome them. Finally, prospects for development of these technologies are evaluated up to the level of industrial implementation.
Highlights
For over a decade, the world’s leading rating agencies have been including multi-agent systems (MAS-systems) and technologies (MAS-technologies) into the list of the most promising information technologies (IT) of the near future.Many experts in the IT sphere share optimistic feeling about the prospects of MAS for designing Artificial Intelligence (AI) solutions with distributed problem solving.for some reason, the IT industry is holding off on using such systems, even though scientists and specialists of many leading universities in the world continue to develop this technology.On the other hand, no one can deny the appearance of new complex problems and types of software applications, which seem to have been specially created for MAS’ application
Instead of following the formal logic, industrial MAS needs to be driven by engineering models and methods of self-organization; for example, based on virtual market mechanisms with iterative auctions and competitive equilibriums, which are already proven to solve various extremely complex problems of adaptive resource management in real time
New areas of applications are identified for industrial MAS developments. It appears that the Internet of everything, including documents, people, machines, devices and any other physical an abstract things, which has begun to develop recently, will require a completely new agentbased paradigm and it will bring value for Industry 4.0 aimed at automation of manufacturing, and for Industry 5.0, which, as expected, will be more focused on human development and support for selforganization processes in the society
Summary
The world’s leading rating agencies have been including multi-agent systems Instead of following the formal logic, industrial MAS needs to be driven by engineering models and methods of self-organization; for example, based on virtual market mechanisms with iterative auctions and competitive equilibriums, which are already proven to solve various extremely complex problems of adaptive resource management in real time. The world of physical manufacturing cannot be controlled without using the principles of cybernetics For these reasons, this paper contains a comparative analysis of the expectations regarding the industrial application of MAS-technologies and their practical use (Section 2). New areas of applications are identified for industrial MAS developments It appears that the Internet of everything, including documents, people, machines, devices and any other physical an abstract things, which has begun to develop recently, will require a completely new agentbased paradigm and it will bring value for Industry 4.0 aimed at automation of manufacturing, and for Industry 5.0, which, as expected, will be more focused on human development and support for selforganization processes in the society
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