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# Artificial Intelligence (AI)

## Artificial Intelligence MCQ

Table Of Content Index Level Of MCQ 1 Basic Level MCQ 2 Intermediate Level MCQ Basic Level MCQ 1 What is Artificial intelligence? A. Putting your intelligence into ComputerB. Programming with your own intelligenceC. Making a Machine intelligentD. Playing a Game ANSWER: C 2 Strong Artificial Intelligence is A. the embodiment of human intellectual capabilities …

## Discuss various defuzzification methods in AI

Defuzzification means the fuzzy to crisp conversion. Defuzzification is a process that convert the fuzzy set or fuzzy number into crisp value or number. There are most popular technique are included in fuzzy logic: 1) Lamda-cut Method 2) Maxima Method 3) Weighted Sum Method 4) Centroid Method 1) Lambda-Cut Method – Lambda-cut method for fuzzy …

## Discuss non-monotonic reasoning in AI

Some conclusion may be invalidate by adding some more information to our  knowledge  base, is called as Non-Monotonic Reasoning. Non-Monotonic reasoning is deal with incomplete and uncertain models. Here we discuss general example of non monotonic reasoning.: Let suppose the knowledge base contain following Knowledge: – Birds Can Fly – Dog can’t Fly – Crow …

## Discuss nonlinear planning using constraint posting in AI

The planning is a artificial intelligence is about the decision making task perform by the robot or computer program to archive a specific goal. This planning is used to set a goal stack and is included in the search space of all possible subgoal orderings. It handles the goal interactions by interleaving method. Non-linear planning may be …

## Explain Hopfield Network in Artificial Intelligence

It is network with associated memory. Can be used for different pattern recognition problems. It has only one layer, with each neuron connected to every other neuron. All the neuron acts as input and output. The hopfield network consists of a set of neurons and corresponding set of unit delays, merging a multiple loop , …

## Differentiate Fuzzy logic and crisp logic in AI

FUZZY LOGIC CRISP LOGIC In fuzzy logic we can take intermediate value between 0 and 1 in crisp logic we can take binary value either 0 or 1 (True or False). Elements are allowed to be partially included in set Elements is either the member of a set or not Used in Fuzzy Controllers. Used …

## Tower of Hanoi problem with respect to seven problem characteristics in AI

This is a fun puzzle game where the objective is to move an entire stack of disks from the source position to another position. Three simple rules are followed: 1) Only one disk can be moved at a time. 2) Each move consists of taking the upper disk from one of the stacks and placing …

## Turing Test in AI

Turing introduced a test to check whether a machine can think like a human or not, this test is known as the Turing Test The Turing Test judges the conversational skills of a bot. “Turing test is used to determine whether or not computer(machine) can think intelligently like human” Imagine a game of three players having …

## Describe heuristic function for the travelling salesman problem in artificial intelligence

Travelling salesman problem (TSP) is a routing problem in which each city must be visited exactly once. the aim is to find the shortest tour.

## Describe Breadth First Search Comment on the optimality of this method in artificial intelligence

There are many ways to traverse graphs. BFS is the most commonly used approach in artificial intelligence. Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root, and explores all of the neighbour nodes at the present depth prior to moving on to the …