Give an example of an algorithm used in artificial intelligence.

The selection of Decision Trees, Random Forests, and Support Vector Machines as examples of algorithms used in artificial intelligence is fitting because these methods are directly associated with machine learning, a subfield of AI that focuses on enabling computers to learn from and make predictions based on data.

Decision Trees create a model that predicts an outcome based on a series of decisions, represented as a tree-like structure. They are intuitive and useful for both classification and regression tasks. Random Forests, which build multiple decision trees and aggregate their outputs, improve predictive accuracy and control overfitting. Support Vector Machines (SVM) are used primarily for classification tasks by finding the optimal hyperplane that separates different classes in the feature space.

In contrast, the other choices are not primarily categorized under modern artificial intelligence. Linear Regression, while it has applications in data analysis and can provide insights into linear relationships between variables, is a statistical method more than an AI algorithm. Bubble Sort and Binary Search are algorithmic techniques related to sorting and searching data structures, respectively, but they do not involve learning or making predictions, which are core components of artificial intelligence. Therefore, the algorithms listed in the selected choice are much more relevant to AI applications.