Statistical Methods in Computer Science: A Comparative Review of Inductive and Deductive Approaches

Abstract

Combination issues lie at the core of computer science and modern discrete mathematics. Artificial intelligence lays the foundation for induction and deduction techniques. Induction in computer science involves establishing statements based on specific to general observations, while deduction operates in the opposite direction. In this paper, we analyze induction and deduction using three criteria: the difference in space and time complexity, inconsistencies within induction and deduction, and their application areas within the computer science domain. Induction enhances the power of observation and analysis, whereas deduction plays a crucial role in the logical realm of computer science. Deduction is primarily employed for quantitative analysis, including statistical analysis.