New study describes multi-agent systems for optimization and decision-making through games

In artificial intelligence, multi-agent systems can be thought of as a society of individuals (agents) that interact by exchanging knowledge and by negotiating with each other to achieve an individual/global goal. In real life, multi-agent systems are used in many diverse fields like resource management; information security; manufacturing planning, scheduling, and control; monitoring, diagnosis, and control; e-commerce; biomedicine; and virtual enterprise. Given their immense usefulness, researchers are constantly trying to find new ways to use these systems in real-world settings.

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