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CSEET · Economic and Business Environment · AI and Business Environment

A logistics firm uses an AI system that learns by trial and error, receiving rewards when delivery routes are shorter and penalties when they are longer, and gradually improves its route choices. This is an example of:

This is reinforcement learning. The system takes actions, receives rewards for shorter routes and penalties for longer ones, and gradually improves its decisions. Supervised classification relies on labelled examples, rule-based systems follow fixed rules, and optical character recognition merely extracts text from images.

  1. ASupervised classification
  2. BReinforcement learningCorrect
  3. CRule-based expert system
  4. DOptical character recognition

Explanation

Learning through trial and error using rewards and penalties to improve decisions is reinforcement learning. Supervised classification needs labelled examples, and a rule-based expert system follows fixed programmed rules without learning from rewards. Optical character recognition only reads text from images.

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