Specialization and Division of Labour in Distributed Autonomous Agents
نویسندگان
چکیده
Ants solve complex and dynamic problems with virtually no formalized mechanisms to coordinate their work. Ants are known to divide the labour, such that highly specialized groups perform different tasks. This enhances colony efficiency. As a model for computing ants are good because they are simple, distributed, autonomous and yet solve complex tasks. In this thesis specific questions are addressed regarding how ants achieve division of labour, and how to achieve division of labour in distributed autonomous software agents. Multi-agent simulations has been performed, which enabled me to evolve complex behaviour for software agents that facilitated division of labour in both a transportation optimisation problem, and in a waste management optimisation problem. Swarm intelligence was used as a modelling method, and evolutionary algorithms were used to evolve controller logic for the agents.
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