The Replanification Model of the agent-platform PANGEA

Abstract

New trends in multi-agent systems call for self-adaptation and high dynamics, hence the new model of open MAS or virtual organization of agents. This paper describes a system based on virtual organizations of agents that allows planning of tasks that minimizes the resources necessary for its accomplishment and obtains the maximum profits. For this purpose, a genetic algorithm , queuing theory, and CBR are used to obtain an efficient distribution. This mechanism is integrated in the PANGEA platform, an agent platform to develop open multi-agent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user.

Contribution to the design, implementation and standardization of semantic middleware architectures for the Smart Grid

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