computer science

List of artificial intelligence algorithms

List of artificial intelligence algorithms is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand List of artificial intelligence algorithms rather than just read about it. In short: This is a list of artificial intelligence algorithms, including algorithms and algorithmic methods used in artificial intelligence (AI) for search, automated reasoning, knowledge representation and reasoning, planning, machine learning, deep learning, natural language processing, computer vision, and related areas. Search and optimization A* search algorithm Alpha–beta pruning Beam search Beam stack search Best-firs…

Key takeaways

List of artificial intelligence algorithms belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect List of artificial intelligence algorithms to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of List of artificial intelligence algorithms from memory before moving on to harder problems.

Reference excerpt

This is a list of artificial intelligence algorithms, including algorithms and algorithmic methods used in artificial intelligence (AI) for search, automated reasoning, knowledge representation and reasoning, planning, machine learning, deep learning, natural language processing, computer vision, and related areas.

Search and optimization A* search algorithm Alpha–beta pruning Beam search Beam stack search Best-first search Breadth-first search Depth-first search Expectiminimax General Problem Solver Hill climbing Iterative deepening A* Iterative deepening depth-first search Minmax algorithm Monte Carlo tree search Simulated annealing SSS* Uniform-cost search

Evolutionary computation and bio-inspired methods Ant colony optimization algorithms Differential evolution Genetic algorithm Genetic programming Particle swarm optimization

Automated reasoning and logic Backward chaining DPLL algorithm Forward chaining Resolution (logic) Rete algorithm WalkSAT

Probabilistic reasoning and uncertain inference Baum–Welch algorithm Belief propagation Expectation–maximization algorithm Forward–backward algorithm Kalman filter Viterbi algorithm

Motion planning and decision-making

A* Bug algorithm D* Dijkstra's algorithm Dynamic window approach Graphplan Probabilistic roadmap Rapidly-exploring random tree Theta* Vector Field Histogram

Machine learning and statistical classification

Neural networks and deep learning Backpropagation Conjugate gradient method Generalized Hebbian algorithm Gradient descent Levenberg–Marquardt algorithm PagedAttention / vAttention Perceptron Quasi-Newton method Wake-sleep algorithm

Reinforcement learning Actor-critic algorithm Policy gradient method Proximal policy optimization Q-learning State–action–reward–state–action Temporal difference learning

Natural language processing Byte-pair encoding Cocke–Younger–Kasami algorithm Earley parser Inside-outside algorithm

Computer vision and perception Canny edge detector GrabCut RANSAC Scale-invariant feature transform

Algorithmic game play AlphaGo AlphaGo Zero AlphaZero MuZero TD-Gammon

Worked examples

Example 1 — a first encounter with List of artificial intelligence algorithms

Start with the simplest possible case. Write down what List of artificial intelligence algorithms claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to List of artificial intelligence algorithms before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about List of artificial intelligence algorithms ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of List of artificial intelligence algorithms

In research: List of artificial intelligence algorithms appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses List of artificial intelligence algorithms in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: List of artificial intelligence algorithms is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algorithms, Artificial intelligence, Computing-related lists, so understanding it makes those chapters shorter.
In everyday life: Look for List of artificial intelligence algorithms outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study List of artificial intelligence algorithms in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what List of artificial intelligence algorithms means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain List of artificial intelligence algorithms out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is List of artificial intelligence algorithms in simple terms?

Why does List of artificial intelligence algorithms matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study List of artificial intelligence algorithms?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on List of artificial intelligence algorithms.