Although simulation is one of the most innovative and cost-effective tools for modeling and analyzing a system, simulation studies often fail to provide any useful results. One re...
A very active field of research of Database Management Systems (DBMS) is concerned with an augmentation of DBMS by rules. Passive rules (constraints) were the first to be investig...
— Agents are being recommended as a next generation model for revising and restructuring the complex distributed applications. So the task of engineering quality for agent system...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Methodology and algorithms of evaluation of the traffic coefficient in priority queueing systems with zero and nonzero switchover times are presented. In the case of zero switchov...