Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Chapter 11, Problem 3RQ
Explanation of Solution
Machine learning:
Machine learning is the study of improving the performance of the computer without the help of commands programmed by the human.
Benefits of machine learning to busines...
Explanation of Solution
Neural network:
- Neural network is also called as artificial neural network where the
AI attempts to imitate the way human brain works. - Electronic model that performs tasks like the neural structure of a human brain is artificial neural network.
- Artificial neural network is comparable in certain aspects to a biological neural network.
Working of neural network:
It works based on the structure and functions of human brain...
Explanation of Solution
Genetic
A genetic algorithm is an artificial intelligence system which is used for fining optimized solutions to search problems.
- The search problems are based on the theory of natural selection and evolutionary biology.
- It works well for searching large and complex data sets.
- It uses the combination of inputs to project the best outputs.
- It involves a process called mutation where it tries for random combinations and then evaluates the success or failure of the outcome.
Working of genetic algorithm:
The working of genetic algorithm starts with the creation of random initial population. It then creates a sequence of new population. It uses the current generation individuals to create the next population. It stops when the resulting criteria is met.
Genetic algorithm best suited for:
- It is well suited for decision-making environments.
- It is used to solve complex and tedious problems, which involves hundreds or thousands of variables or formulas...
Explanation of Solution
Natural Language Processing:
Natural language processing is the process of making a computer to speak like a human being.
- If this process is successfully implemented into a machine, then the voice communication between a human being and a machine becomes easy.
Examples of natural language processing in Business Applications:
- Classification of text
- Automatic summarization
- Machine translation
Computer vision system:
Computer vision system is the process, which deals with how the computer can imitate the visual system of the human. It tends to know how the human view and extract information from the real-world images...
Explanation of Solution
Expert System:
- A work performed by a human expert and the same task is performed by a computer application is known as expert systems.
- The expert system is a knowledge-based system that models the professionals in that particular field.
- It is a successful form of artificial intelligence software.
Working of expert system:
Expert system works based on the set of rules implemented in the software. These rules are acquired from the knowledge of the skilled that can be used by organization...
Expert Solution & Answer
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Change the following code so that there is always at least one way to get from the left corner to the top right, but the labyrinth is still randomized.
The player starts at the bottom left corner of the labyrinth. He has to get to the top right corner of the labyrinth as fast he can, avoiding a meeting with the evil dragon. Take care that the player and the dragon cannot start off on walls. Also the dragon starts off from a randomly chosen position
public class Labyrinth { private final int size; private final Cell[][] grid;
public Labyrinth(int size) { this.size = size; this.grid = new Cell[size][size]; generateLabyrinth(); }
private void generateLabyrinth() { Random rand = new Random(); for (int i = 0; i < size; i++) { for (int j = 0; j < size; j++) { // Randomly create walls and paths grid[i][j] = new Cell(rand.nextBoolean()); } } // Ensure start and end are…
Change the following code so that it checks the following 3 conditions:
1. there is no space between each cells (imgs)
2. even if it is resized, the components wouldn't disappear
3. The GameGUI JPanel takes all the JFrame space, so that there shouldn't be extra space appearing in the frame other than the game.
Main():
Labyrinth labyrinth = new Labyrinth(10);
Player player = new Player(9, 0); Dragon dragon = new Dragon(9, 9);
JFrame frame = new JFrame("Labyrinth Game"); GameGUI gui = new GameGUI(labyrinth, player, dragon);
frame.add(gui); frame.setSize(600, 600); frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); frame.setVisible(true);
public class GameGUI extends JPanel { private final Labyrinth labyrinth; private final Player player; private final Dragon dragon; //labyrinth, player, dragon are just public classes
private final ImageIcon playerIcon = new ImageIcon("data/images/player.png");…
Chapter 11 Solutions
Essentials of MIS (13th Edition)
Ch. 11.3 - Prob. 1CQ1Ch. 11.3 - Prob. 2CQ1Ch. 11.3 - Prob. 3CQ1Ch. 11.3 - Prob. 1CQ2Ch. 11.3 - Prob. 2CQ2Ch. 11.3 - Prob. 3CQ2Ch. 11 - Prob. 1IQCh. 11 - Prob. 2IQCh. 11 - Prob. 4IQCh. 11 - Prob. 5IQ
Ch. 11 - Prob. 1RQCh. 11 - Prob. 2RQCh. 11 - Prob. 3RQCh. 11 - Prob. 4RQCh. 11 - Prob. 5DQCh. 11 - Prob. 6DQCh. 11 - Prob. 7DQCh. 11 - Prob. 9HMPCh. 11 - Prob. 11HMPCh. 11 - Prob. 12CTPCh. 11 - Prob. 13CSQCh. 11 - Prob. 14CSQCh. 11 - Prob. 15CSQCh. 11 - Prob. 16CSQCh. 11 - Prob. 17CSQCh. 11 - Prob. 18MLMCh. 11 - Prob. 19MLM
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