Decentralized Control of Adaptive Data Collection Processes Based on Equilibrium Concept and Reinforcement Learning
The model of decentralized control of adaptive data collection processes has been developed based on the equilibrium concept, which is used to study the problem of coordinating joint collective actions from the point of view of finding an effective scheme for complementing the individual actions of data collection processes in the absence of a control center.