Final answer:
Selection components provide the ability to filter propositions, make calculations, and import results from other strategies.
Step-by-step explanation:
Selection components provide the ability to filter propositions based on priority and relevance. For example, in a sales and marketing context, selection components can be used to prioritize prospects based on their likelihood to convert into customers. They can also be used in a search engine to rank search results based on their relevance to the query.
In addition, selection components can make calculations based on a list of propositions. For instance, in a financial application, selection components can calculate the total value of a portfolio by summing up the values of individual investments.
Lastly, selection components can import results from other strategies. This is commonly seen in data analysis and machine learning, where different models or algorithms are combined to produce more accurate predictions or classifications.