MCS-224 Archives - Page 2 of 2

Q6: Discuss the transforming an FOPL Formula into Prenex Normal Form with suitable example. Also, discuss Skolomization with a suitable example.

Introduction First-Order Predicate Logic (FOPL) is a formal system in which statements are expressed using quantifiers, variables, and logical connectives. One of the crucial transformations in FOPL is converting a formula into Prenex Normal Form (PNF), followed by Skolemization when preparing for automated reasoning or theorem proving. Prenex Normal Form (PNF) Prenex Normal Form is […]

Q6: Discuss the transforming an FOPL Formula into Prenex Normal Form with suitable example. Also, discuss Skolomization with a suitable example. Read More »

Q5: Find the most cost-effective path to reach from Node A to Node J using A* Algorithm

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Problem Statement Use the A* (A-Star) algorithm to find the most cost-effective path from Node A to Node J in the given graph. Edge weights represent the cost (distance), and node values represent the heuristic (h(n)) to the goal node (J). Given Graph Structure: Nodes and their heuristics (h): A (10), B (3), C (2),

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Q4: Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given

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Problem Statement We are given an 8-puzzle problem with a defined start state and goal state. The task is to find the minimum cost path from the start state to the goal state. Start State: 1 2 3 4 8 – 7 6 5 Goal State: 1 4 7 – 8 6 2 3 5

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Compare Artificial Intelligence, Machine Learning, and Deep Learning

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Introduction Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are closely related terms but they are not the same. Each concept builds upon the previous one, with AI being the broadest, ML being a subset of AI, and DL being a further subset of ML. Understanding the differences and relationships among these terms

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Define Supervised, Unsupervised and Reinforcement learning with a suitable examples of each

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Introduction Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables machines to learn from data and improve their performance without being explicitly programmed. ML techniques can be classified into three main types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Each type of learning solves different types of problems and uses distinct methods

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Classify AI on the basis of the functionalities of AI. Also discuss some important applications of AI.

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Introduction Artificial Intelligence (AI) is a multidisciplinary field that aims to create machines capable of performing tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, understanding natural language, perception, and even physical movement. AI is rapidly evolving and is classified based on its functionalities and capabilities. In this answer, we will focus

Classify AI on the basis of the functionalities of AI. Also discuss some important applications of AI. Read More »