Action selection in AI systems is a basic system in which the problem can be analyzed by the AI machine to understand what it has to do next to get closer to the solution of the problem. Since AI systems are very complex, it causes the problem of action selection where more amount of time and computation is required to achieve a task and the agents that are responsible for that will have to work through more data to get the job done. The ASM or the Action Selection System is used to determine the actions of the agents along paying attention to the perceptual behavior of the AI system. This causes modifications in the agent's behavior when learning novel things and helps it adapt to new things better. AI agents and action selection form to be very important entities to help devise an intelligent solution to a problem.
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