Advanced Topic 47 of 51 AI & Machine Learning
Minimax and Alpha-Beta
Game-tree search with pruning.
How it works
Minimax assumes an optimal opponent, choosing moves that maximize the minimum payoff over a game tree; alpha-beta pruning skips branches that cannot affect the result, often doubling search depth.
Where it is used
Chess, checkers engines.
Common pitfall
Move ordering determines pruning effectiveness.
Where it fits in the course
Minimax and Alpha-Beta is topic 47 of 51 in AI & Machine Learning, rated Advanced. It follows Search Algorithms in AI. The next topic is Bayesian Networks.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the AI & Machine Learning quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the AI & Machine Learning quiz, and revisit the topic if you miss a question.
Frequently asked questions
What is Minimax and Alpha-Beta?
Game-tree search with pruning. It belongs to AI & Machine Learning and is an advanced-level topic.
Where do people use Minimax and Alpha-Beta?
Chess, checkers engines.
What is the most common mistake with Minimax and Alpha-Beta?
Move ordering determines pruning effectiveness.
What should I learn before this topic?
Start with Search Algorithms in AI, the topic just before it in AI & Machine Learning.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the AI & Machine Learning quiz.
Is Minimax and Alpha-Beta hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn Minimax and Alpha-Beta?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to Minimax and Alpha-Beta?
Search Algorithms in AI, Bayesian Networks, Tokenization are closely connected. The full list is in the related topics section of this page.
What should I study after Minimax and Alpha-Beta?
Continue with Bayesian Networks, the next topic in AI & Machine Learning.
Related topics
- Search Algorithms in AI (AI & Machine Learning)
- Bayesian Networks (AI & Machine Learning)
- Tokenization (AI & Machine Learning)
- Reinforcement Learning Algorithms (AI & Machine Learning)