Artificial intelligence (AI) is a smart process which is used in learning and improving by itself from the data that has been collected using virtual reality (VR). Artificial intelligence is a Computational Models that is very much intelligence in such a way that it cumulate all the information collected by virtual reality and work on it very fast.

A virtual reality (VR) it’s in form of glasses that you can use to see something far away from your view. For instance, u want to get something online and you want to check what they have in store to check if such item is available, you can actually use virtual reality (VR) to quickly check fast and order for what u want with it.

Today Artificial Intelligence is more oriented to several forms of collective intelligence, also building robot simulators (hardware or software) to deeply understand collective behaviors in human beings and society as a whole.

There is a long last tradition in Artificial Intelligence as the use of Robots endowing human peculiarities, from a cognitive and emotional point of view, and not only in shape. For decades, researchers tried to improve simulations by endowing artificial agents with simple and complex rules that emulated human behavior also by using artificial intelligence (AI). To include human beings and their real intelligence within artificial societies is now the big challenge we are facing right now.

A hybrid (human- artificial) platform was presented where experiments can be performed by simulated artificial worlds in the following manner:

1) Agents behaviors are regulated by the behaviors shown in Virtual Reality involving real human beings exposed to specific situations to simulate.

2) Technology transfers these rules into the artificial world. These form a closed-loop of real behaviors inserted into artificial agents, which can be used to study real society.

Several experiments have been done in virtual environments in the last ten years but an integrated simulation based on real behaviors had never been done before. Potential applications of this new technology are unlimited, spacing from decision making to cognitive science and including clinical and educational purposes

Data collected following this new method are satisfied top-down (model-based) needs and bottom-up (empirical-based and simulation-based) needs, under the umbrella of complexity science.

-By Olutunde Rasheedat Ouwatosin

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