Enhanced Distributed Distributive Justice Algorithm for Resource Allocation Problem

In Multi-agent systems, the problem of resource allocation has received a lot of interest in the last few years. Our Multi-agent system comprises of a common shared resource and intelligent agents that interact with each other to get a share of the resources and complete their demands. Resource allocation problem mainly revolves around devising a method for assigning shared resources among agents such that the demand of each one is satisfied. Systems have two types of agents - the good ones and the bad ones. Bad ones are those which do not comply with the rules and regulations of the system and create a hindrance for good agents and decrease the total running time and output of the system. We needed to model our system such that the presence of bad agents does not affect the good agents and the system. Resource allocation problem can be easily compared to the Linear Public Good dash game. We have discussed the Distributed Distributive Justice Algorithm for the solution of game and proposed a new solution such that a sense of trust and responsibility prevails in the system and it does not lose its stability even on non-compliance of bad agents. In the end, we have compared the results of our proposed solution to the Distributed Distributive Justice algorithm.