Our system is able to learn and adapt intelligently in dynamic, complex environments

 

It uses interacting parts (agents) rather than the commonly used single central AI engine, that adapt and evolve in response to changes in the environment,

 

The agents are controlled by an intelligent system that can perceive, interpret, reason and make decisions.

 

Decisions are not based on a single interpretation of the data, but rather a Bayesian consensus based on multiple perspectives.

 

However, the system remains human-centred as it relies on constructive feedback from experts