Artificial Intelligence Programming 2025 – 400 Free Practice Questions to Pass the Exam

Knowledge representation in computer science refers to the ways in which information and knowledge are structured and encoded so that a computer system can utilize it. This process enables machines to process complex information and draw inferences, make decisions, and understand language or context.

The correct response, which states that knowledge representation results in new information elements created from existing data, accurately reflects the concept. When knowledge from various sources is represented, it can lead to the emergence of new understandings and insights, allowing for more sophisticated reasoning and problem-solving. This transformation of existing information into a structured format enhances the machine's ability to function intelligently.

The other choices do not align with the core principles of knowledge representation. For instance, storing data permanently with no utility does not capture the essence or purpose of knowledge representation, which actively facilitates the use of data. Visual representation of programming structures is more related to how code is organized visually rather than how knowledge is represented conceptually. An automated process that excludes data analysis does not encompass the significance of interpreting and applying the data to develop knowledge.