ArtificialIntelligence-VI-MU-CSE

Codes for Practical experiments of Artificial Intelligence(Semester VI - Computer Engineering - Mumbai University)

Experiment List:

1. Introduction to Prolog - Family Relationship
2. A simple reflex agent program for the vacuum-cleaner world problem
3. Uninformed Search - BFS and DFS algorithm
4. Informed Search- A* algorithm
5. Adversarial Search using minimax algorithm for Tic Tac Toe
6. Implementation of Bayes Belief Network
7. Implementation of Partial Order Planning for block world problem

Prerequisites

1. Ensure you have Python 3.x installed on your machine. You can download it from Python's official website.
2. Ensure you have SWI-Prolog installed on your machine. You can download it from SWI-Prolog's official website.

Installation

1. Clone the repository

git clone https://github.com/riddhigupta1110/ArtificialIntelligence-VI-MU-CSE.git

2. Navigate to the project directory:

cd ArtificialIntelligence-VI-MU-CSE

Usage

I) Python Programs:

You can run each Python program using any code editor or the command line:

Using Visual Studio Code:

1. Open Visual Studio Code.
2. Open the project folder (ArtificialIntelligence-VI-MU-CSE) in VS Code.
3. Open the desired .py file.
4. Run the program by pressing F5 or by clicking the "Run" button in the top-right corner of the editor.

II) Prolog Program:

Study material:

• Prolog Programming Basics
• Reference Video

Writing and Executing a Prolog Program:

1. Write your Prolog program using any text editor (e.g., Notepad++ or Notepad) and save it with a .pl extension in the folder of your choice.
2. In SWI-Prolog, load your program by clicking on File -> Consult and then opening the desired file.
3. Once the program is loaded, you can start using it by entering queries in the SWI-Prolog console.