Getting Started

Welcome to the official documentation of Intuitive Artificial Intelligence.

Intuitive AI is a research that is being conducted to generate intuitive behaviour in Artificial Intelligence. To do that we have created a simulator that enables users to take intuitive decisions and we're storing that data and upon this data we aim to build intuitive decision making in AI.

This study is all about finding:

"An AI that does not only follow the rules but instead follows it's gut"

That is the motto this study revolves around. Here is our abstract:

Intuition does not have a specific definition because no one can define what exactly it is because it can be spiritual, it can be creative but it's not always logical. An easier way to understand it is when we compare it with intelligence. Intuition is based on feelings, while intelligence is based on logic. Intuition has more to do with a gut feeling, rather than a calculated decision-making process. If we can define anything in a mathematical model we can make computers do it. So, to define intuition on a mathematical model we need to see what causes it and due to intuition’s heavy subjective nature, it is not easy. So, we placed some real-world psychological principles that influence intuitive decision-making, into a simulator and conducted focus group sessions while collecting data of every game played, with a vision that these intuitive patterns which are coming from a human brain can be used to define a mathematical model for intuition. We believe that with this data that the simulator is generating we can motivate further research into intuitive AI.

When the computer language Java was first introduced it became the base of every single modern programming language and what they did was basically define the real world in terms of a mathematical format. We have inheritance in our real life and Java also introduced the concept of inheritance in a mathematical terms. Though it was different in nature and in functionality it was the same. So, if you are a java developer you can relate to this example and this is one of the many motivating factors in developing this simulator based on the real-world principles that derive the intuitive decision-making process in our brain. For computers, things might be a bit different but eventually, they'll be able to take non-calculated risks and when they do then they need to work hard to make that decision turn out to be right.

This research was started and is being continued by Chaudhry Talha.

The simulator was developed as the result of the master's degree capstone project under the supervision of Dr. Vazeerudeen Hameed with the co-supervision of Mr. Muhammad Ehsan Rana of Asia Pacific University (APU) in Kuala Lumpur, Malaysia.

You can download the full document that was the submitted for Maters degree on Research Gate.

Here is the link to Colab Notebook where the analysis is currently in process: https://colab.research.google.com/drive/1rwPrzAS6J2lW0RVjqGaLpm4KaPwGGVdi?usp=sharing

Have anything to share or ask? We have our community where you can share ideas, ask questions, or show something new that you did. Access our discussion community here: https://github.com/ibjects/IntuitiveAI/discussions

IntuitiveAI is an open-source project and our official repository can be accessed here: https://github.com/ibjects/IntuitiveAI

Official Webpage: https://intuitive-ai.web.app/