# Artificial Intelligence Interview Questions

Interview Question on Artificial Intelligence

1. What is Artificial Intelligence?

Ans. It is a branch of Computer Science named Artificial Intelligence pursues creating computers or machines as intelligent as human beings. It is a way of making a computer, a computer-controlled robot, or a software think intelligently, in a similar manner the intelligent humans believe.

In another way we define, Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently in a similar manner the intelligent humans believe.

1. Who is the father of Artificial Intelligence?

Ans. John McCarthy

1. What is Turing test in Artificial Intelligence?

Ans. The Turing test is a method to test the machine’s ability to match the human-level intelligence.

The success of the intelligent behavior of a system can be measured with the Turing Test.

A machine is used to challenge the human intelligence that when it passes the test, it is considered as intelligent. Yet a machine could be viewed as intelligent without sufficiently knowing about people to mimic a human.

1. What are the type of Artificial Intelligence?

Ans. Strong artificial intelligence

Weak artificial intelligence

1. What is A* algorithm?

Ans. A* is a computer algorithm that is extensively used for the purpose of finding the path or traversing a graph in order to find the most optimal route between the various points called as the nodes.

1. What is Naïve Bayes Algorithm?

Ans. Naïve Bayes Algorithm is used to generate mining models. These models help to identify relationships between input columns and the predictable columns. This algorithm can be used in the initial stage of exploration. The algorithm calculates the probability of every state of each input column given predictable columns possible states. After the model is made, the results can be used for exploration and making predictions.

1. What is ANN?

Ans. An artificial neuron network (ANN) is a computational model based on the structure and functions of biological neural networks.

Artificial neural networks is Non-linear predictive models that learn through training and resemble biological neural networks in structure.

1. Define Genetic algorithm?

Ans. It I based on the concept of darwin’s theory of natural selection.

It is optimization algorithm that enables us to locate optimal binary string by processing an initial random population of binary strings by performing operations such as artificial mutation, crossover and selection.

1. What is FOPL?

Ans. First-order Predicate logic is collection of formal systems, where each statement is divided into a subject and a predicate. The predicate refers to only one subject and it can either modify or define the properties of the subject.

1. What is Decision tree?

Ans. A decision tree is a flow chart like tree structures, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and leaf nodes represent classes or class distributions. The top most in a tree is the root node.

1. What is Time Series Analysis?

Ans. A time series is a set of attribute values over a period of time. Time Series Analysis may be viewed as finding patterns in the data and predicting future values.

1. What is the use of Regression?

Ans. Regression can be used to solve the classification problems, but it can also be used for applications such as forecasting. Regression can be performed using many different types of techniques; in actually regression takes a set of data and fits the data to a formula.

1. What is Intelligent Agent in AI with example?

Ans. An agent is anything that perceives its environment through sensors and acts upon that environment through actuators.

Human agent: eyes, ears, and other organs for sensors; hands, legs, mouth, and other body parts for Actuators.