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Fundamenta Informaticae
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Agents in a multi-agent system may face situations where tasks overload their computational capacities. Usually, this problem is solved by passing tasks to others or agent migration to remote hosts. We propose agent cloning as a more comprehensive approach to balancing local agent overloads. According to our paradigm, agents may clone, pass tasks to others, die or merge. We discuss the requirements of implementing a cloning mechanism and its benefits in a Multi-Agent System (MAS), and support our claims with simulation results.