Logical AI for Constructing Logical Chains

About the Project

This project is an implementation of a logical artificial intelligence (AI) for constructing logical chains and making conclusions based on the provided data. The AI analyzes logical relationships between events and makes assumptions about possible conclusions.

Installation

1. Make sure you have Python 3.x installed.
2. Clone the repository or download it as a ZIP archive and unpack it.
3. In the terminal, navigate to the project directory:

cd TensorFlow-Logic-AI
pip install -r requirements.txt

Usage

Run main.py to interact with the model.

python fit_model.py

Sample Data

The logic.txt file contains examples of input data and expected outputs for training the model. Here are some examples:

На улице мокрая лужа | Вероятнее всего был дождь.
Моё окно в дом разбито! | Возможно, вас ограбили
...

Improving the Model

You can experiment with different neural network architectures, training parameters, and data preprocessing to enhance the accuracy and confidence of the model.