Glossary

A reinforcement learning algorithm, Q Learning, calculates the ‘quality’ or value of actions, aiding in achieving future rewards. Ideal for handling stochastic transition and increased reward problems.

The Qualification Problem refers to the difficulty in defining all essential preconditions for a specific action or result in real-world scenarios. Prepare thoroughly for uncertainty.

Get acquainted with Prolog, a logic programming language devised in the ’70s. Inextricably linked to artificial intelligence, natural language processing, and expert systems, its foundation lies in first-order predicate logic.