structural adaptation

Structural Adaptation of Data Collection Processes in Autonomous Distributed Systems Using Reinforcement Learning Methods

A method of structural adaptation of data collection processes has been developed based on reinforcement learning of the decision block on the choice of actions at the structural and functional level subordinated to it, which provides a more efficient distribution of measuring and computing resources, higher reliability and survivability of information collection subsystems of an autonomous distributed system compared to methods of parametric adaptation.

Distributed Adaptation of the Functional Integration Structure of a Multi-agent System in a Dual-tasking Environment

The paper considers the problem of distributed adaptation of the functional integration structure of a multi- agent system in a dual-tasking environment from the point of view of organizing multi-agent search and use of the functional emergence effect provided by different structures of functional integration. The considered problem belongs to a wider class of problems of structural adaptation and self-organization.