18.1 Artificial Intelligence (AI) Cambridge iA 9618

What is a graph in Artificial Intelligence (AI)?

• A data structure consisting of nodes and edges used for problem-solving

• A deep learning algorithm

• A type of neural network

• A machine learning model

Which algorithm is commonly used for finding the shortest path in a graph?

• Dijkstra’s algorithm

• A* algorithm

• Backpropagation

• Gradient descent

Which algorithm is a heuristic-based search technique used in AI?

• A* algorithm

• Dijkstra’s algorithm

• K-means clustering

• Naïve Bayes

What is the main advantage of A over Dijkstra’s algorithm?

• A* uses heuristics to optimize search efficiency

• A* guarantees the shortest path faster than Dijkstra’s

• A* works only for weighted graphs

• A* is a supervised learning method

How do artificial neural networks (ANNs) contribute to AI?

• They simulate the structure and function of the human brain for pattern recognition

• They act as hardware components in AI systems

• They replace all traditional algorithms in AI

• They are used exclusively for robotics

What is machine learning?

• A subset of AI that enables computers to learn from data without explicit programming

• A method for manually programming AI models

• A process for developing traditional algorithms

• A technique for data encryption

Which of the following best describes deep learning?

• A subset of machine learning that uses multi-layered neural networks

• A method for encrypting AI models

• A technique for manually labeling large datasets

• A simple form of supervised learning

What is the key feature of reinforcement learning?

• Learning by receiving rewards or penalties based on actions

• Training a model using labeled data

• Using a single-layer perceptron for classification

• Applying heuristics to search algorithms

Which of the following is an example of supervised learning?

• A spam email filter trained on labeled email data

• A clustering algorithm grouping customers by purchasing habits

• A reinforcement learning agent playing chess

• A neural network predicting stock prices without labeled data

Which of the following is an example of unsupervised learning?

• Clustering customers based on spending behavior

• A model trained with labeled images of cats and dogs

• A self-driving car learning through rewards and penalties

• A regression algorithm predicting house prices