[amp_mcq option1=”heuristic processing” option2=”cognitive science” option3=”relative symbolism” option4=”pattern matching” correct=”option4″]
The correct answer is D. pattern matching.
Pattern matching is an Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events. It is a process of comparing a pattern to a set of data to find a match. Pattern matching is used in many different areas of AI, including natural language processing, machine learning, and computer vision.
Heuristic processing is a problem-solving technique that uses rules of thumb or educated guesses to find a solution. Cognitive science is the study of the mind and mental processes. Relative symbolism is a concept in linguistics that refers to the way in which words are related to each other in meaning.
Here are some examples of how pattern matching is used in AI:
- In natural language processing, pattern matching is used to identify parts of speech, such as nouns, verbs, and adjectives.
- In machine learning, pattern matching is used to classify data. For example, pattern matching can be used to classify images of cats and dogs.
- In computer vision, pattern matching is used to track objects in a video. For example, pattern matching can be used to track the movement of a ball in a soccer game.