Learning in multi-agent systems
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This article highlights the development of learning in multi-agent systems, as this represents an extension beyond a single learning agent; in addition to independent learning, agents also need to learn to cooperate and/or compete with one another. The most significant contributions to the development of this type of learning center on the interaction between Artificial Intelligence and Game Theory.
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