Interview Questions on Artificial Intelligence

Fuzzy logic is a method of encoding human learning for AI. It imitates the decision making process of humans through IF-THEN instances and the digital values of YES and NO. It is based on degrees of truth. Dr. Lotfi Zadeh of the University of California at Berkeley was the first person to put forth the … Read more

Classical AI focuses on deductive thought, such as a group of constraints. On the other hand, Statistical AI focuses on inductive thought like a pattern or trend. Classical Artificial Intelligence (AI) and Statistical Artificial Intelligence represent different approaches to solving problems in the field of AI. Here’s a breakdown of their differences: Approach to Problem … Read more

In a uniform cost search algorithm, you start from the initial state and go to the neighbouring states to choose the ‘least costly’ state. From there, you’ll select the next least costly state from the unvisited neighbouring states and the visited states. You’d keep looking for the goal state in this manner, and even if … Read more

A bidirectional search algorithm runs two simultaneous searches. The first go forward from the initial state, and the second goes backward from the goal state. They both meet at a common point, and that’s when the search ends—the goal state links with the initial state in a reverse manner. A bidirectional search algorithm is a … Read more

In iterative deepening DFS algorithms, the search process of level 1 and 2 takes place. It continues the exploration until it finds the solution. It generates nodes until it finds the goal node and saves the stack of nodes it had created. For an Artificial Intelligence interview question about iterative deepening depth-first search (IDDFS) algorithms, … Read more