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Artificial Intelligence and Machine Learning

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Artificial Intelligence and Machine Learning

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Questions and Answers

What is meant by an agent 'learning' in the context of Artificial Intelligence?

Following a set of predefined instructions

Solving a puzzle using predefined rules

Improving its performance on future tasks after making observations about the world (correct)

Optimizing its knowledge base of logical facts

What type of learning involves someone giving examples and the right answer for those examples?

Supervised learning (correct)

Unsupervised learning

Self-learning

Reinforcement learning

What is the goal of the agent in reinforcement learning?

To learn from a series of reinforcements—rewards or punishments (correct)

To optimize its knowledge base of logical facts

To solve a puzzle using predefined rules

To find patterns in the data

What is an example of a clustering task in unsupervised learning?

Developing a concept of 'good traffic days' and 'bad traffic days' Signup and view all the answers

What is the term for the process of improving performance on future tasks after making observations about the world?

Learning Signup and view all the answers

What type of learning involves finding patterns in the data without any explicit feedback?

Unsupervised learning Signup and view all the answers

What is an example of supervised learning?

An agent learning to become a taxi driver through labeled examples Signup and view all the answers

What is the common supervised learning task of Classification?

Classification Signup and view all the answers

What type of learning involves taking actions and getting rewards or punishments?

Reinforcement learning Signup and view all the answers

What is an example of unsupervised learning?

A taxi agent developing a concept of 'good traffic days' and 'bad traffic days' Signup and view all the answers

Study Notes

Agents that Learn from Experience

An agent is learning if it improves its performance on future tasks after making observations about the world.

Types of Learning

Supervised Learning

Agent learns from examples with correct answers
Goal is to predict correct answers for unseen examples
Examples: input-output pairs with teacher-provided outputs
Common task: Classification

Unsupervised Learning

Agent learns patterns in input without explicit feedback
Goal is to find patterns in data
Examples: clustering, detecting useful patterns (e.g. "good traffic days" and "bad traffic days")
Common task: Clustering

Reinforcement Learning

Agent learns from series of rewards or punishments
Goal is to learn which actions lead to high rewards
Examples: receiving a tip or not, winning a chess game
Agent decides which actions prior to reinforcement were most responsible

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Description

This quiz covers the concept of agents in artificial intelligence that improve their behavior through learning from their experiences. It involves understanding how agents learn from observations and improve their performance on future tasks.