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

Computability in the context of problem solving refers to the ability to solve a problem effectively using an algorithm or a systematic method. This means determining whether there exists a method that can be applied to obtain a solution to a given problem within a finite amount of time. A problem is considered computable if it can be solved by an algorithm, regardless of the complexity or resources required.

For instance, in computer science, many problems can be framed in such a way that they can be solved through specific algorithms, enabling effective resolution. This concept is foundational to the field of artificial intelligence and computer science overall, as it helps in understanding which problems can be feasibly addressed using computational techniques.

The other options relate to different aspects of reasoning and analysis but do not encompass the core definition of computability in the context of problem solving. The ability to devise a proof relates more to mathematical logic than to computability. Analyzing data is important in many fields, including AI and statistics, but it does not directly imply that a solution to a problem can be effectively found. Similarly, estimating outcomes pertains to predictive modeling and forecasting rather than the structural ability to compute a solution to a problem. Thus, the focus on the effective solving of a problem is what clearly defines comput