In a Multi-Agent System existing formalisms for implementing organizational policies assign specific roles to each agent. Examples are hierarchical organization, contract net protocol, social reasoning mechanism, and the use of matchmaker agents. These policies allow the problem solving roles of the agents to change dynamically but do not adapt to variations in computational load on the multi-agent system. They are designed to operate for a predefined maximum problem-solving load and fail to respond, when the number of task requests, exceed this limit. This paper proposes an adaptive organizational policy, called E-RTA (Efficient Resource and Task Allocation), for Multi-Agent-Systems that operate under time constraints and varying computational loads. We consider MAS (Multi-Agent-Systems) as consisting for several problem-solving organizations where each organization is comprises multiple agents that may be grouped into teams for specific problem solving.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.