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-prey simulations, the evolution of cooperation and altruism, the evolution of niches and food chains. These methods implement evolutionary processes in virtual populations of software agents and
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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rational agents can learn to coordinate their actions for successful collective action. We study the underlying theory, using the framework of Evolutionary Game Theory and build models for concrete
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well established computational and mathematical modelling techniques to achieve its aims. Departure points are Evolutionary Game Theory and reinforcement learning, supported by agent-based