Emergent Intelligence Platform for Developing Autonomous Resource Management Systems
Anastasiya Galitckaya, Галузин Владимир Андреевич, Roman Guskov, Vladimir Laryukhin, Gennady Miatov, Dmitry Novichkov, Petr Olegovich Skobelev · 2024
The paper introduces new platform for developing autonomous resource management systems to increase adaptability and efficiency of enterprises. One of the perspective new classes of Enterprise 5.0 systems is Autonomous Resource Management Systems (ARMS), based on models, methods and algorithms for collective decision-making, ontologies and multi-agent technologies. The platform is based on the concept of Emergent Intelligence (EI), inspired by theory of complex adaptive systems, based on self-organization processes with non-equilibrium thermodynamics. The fundamentals, functionality and architecture of the developed EI platform are discussed. The core functionality of ARMS is to make adaptive resources allocation, planning and optimization, combined with monitoring and control of resources in real time. The core components of EI platform support formalization of domain knowledge and collective decision making of collaborative software and hardware robots for real time scheduling, optimization and controlling of resources. As an example the Super-EI system is considered for managing driverless trucks for Moscow-Saint Petersburg cargo delivery. The ARMS allows to automate routine work on resource management, transfering routine work from managers, dispatchers, economists and logisticians to the ARMS to improve business adaptability and efficiency.