We study a distributed decision-making problem in which multiple agents face the same multi-armed bandit (MAB), and each agent makes sequential choices among arms to maximize its own individual reward. The cooperate by sharing their estimates over fixed communication graph. consider an unconstrained reward model two or more can choose arm collect independent rewards. And we constrained that at ...

Centralized decision-making for a Networked Control System (NCS) suffers from high computational burden on the planning agent. Distributed agents, which compute cooperative decision-making, increase performance. In agents locally plan subset of all agents. Due to only local system knowledge these plans are inconsistent with other This inconsistency leads infeasibility plans. article introduces ...

This paper presents a class of cooperative coevolutionary algorithms executing in a distributed information architecture consisting of coevolutionary agents, mobile software agents, and databases for superior network-efficient search and consequent distributed decision-making. In this approach to distributed decision-making, an objective function guides the concurrent search for logically inter...

The behaviours of social animals can provide valuable guidelines for designing artificial systems. The complex problem solving skills that developed out of the interactions of many simple individuals are called swarm intelligence. This work has covered two distinct aspects of swarm intelligent systems. In the first part, several modifications to established swarm intelligence methods for optimi...

In order to make a distributed decision in a group of agents, each agent has to take into account the actions of the agents on which it depends. In a dynamic environment, these dependencies may change rapidly as a result of the continuously changing state. Coordination graphs offer a scalable solution to the problem of multiagent coordination by decomposing the problem into smaller subproblems....

Decision making networks, employed for the control of complex cybernetic systems,6,7,8,9,10 operate on the "Command, Status, and Message Layers" of concurrent decision making activity. Decision making "nodes" function as multitasking operators on all three layers, by executing command decomposition, status reporting, and message exchanging tasks for the concurrent implementation of various cont...