Distributed Reinforcement Learning using Bi-directional Decision Making for Controlling Multi-Stage Flow Systems

Distributed Reinforcement Learning in Multi-Agent Decision Systems

Decision problems can be usually solved using systems that implement diierent paradigms. These systems may be integrated into a single distributed system, with the expectation of obtaining a group performance more satisfactory than individual performances. Such a distributed system is what we call a Multi Agent Decision System (MADES), a special kind of Multi Agent System, that integrates sever...

Learning in Distributed Systems for Decision Making

Distributed Reinforcement Learning based onα-domination Strategy for Multi-criteria Decision Making and its Application to Distributed Database Systems

In the distributed systems in which information cannot be exchanged directly among agents, we deal with problems of deciding how each agent holds the shared resource. To achieve a lot of tasks greedily, agents tend to attempt to hold the resources for a long term. However the system performance decreases consequentially because it competes with the processing of other agents’ tasks. To acquire ...

Optimization of majority protocol for controlling transactions concurrency in distributed databases by multi-agent systems

In this paper, we propose a new concurrency control algorithm based on multi-agent systems which is an extension of majority protocol. Then, we suggest a clustering approach to get better results in reliability, decreasing message passing and algorithm’s runtime. Here, we consider n different transactions working on non-conflict data items. Considering execution efficiency of some different...

A BI-LEVEL LINEAR MULTI-OBJECTIVE DECISION MAKING MODEL WITH INTERVAL COEFFICIENTS FOR SUPPLY CHAIN COORDINATION

  Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problems are co...