Artificial Intelligence (AI)

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 …

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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 …

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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 …

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Artificial intelligence

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 …

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