Computational Intelligence (CI) constitutes an umbrella of techniques, has proven to be flexible in solving dynamic and complex real-world problems. These techniques typically include neural networks and learning algorithms, fuzzy systems, evolutionary computation and other emerging techniques for dealing with uncertainties encountered in evolutionary optimization, machine learning and data mining.

The CI techniques are also widely used in Internet of Everything (IoEt) applications such as Internet of Things, Fog Computing, Edge Computing, and Cloud Computing towards sustainable computing infrastructure at different levels. A large amount of effort is being put toward achieving distributed artificial intelligence. The aforementioned concepts of fog computing, cloud computing, and edge computing are instances of distributive computing. Distributed Artificial Intelligence is a method to enable complex learning, planning, and decision-making problems in a decentralized fashion. It is able to execute large scale computation through distributed computing resources. These properties allow it to solve problems that require the processing of very large data sets. This approach, when put together with the idea of Internet of Everything, opens up a new world of applications of artificial intelligence in a localised manner.

It is clear that Computer Intelligence is going to play a huge role in the lives of the average human being. With the ongoing research in fields like distributive computing, fuzzy logic, neural networks etc, we can also be sure that the intelligence that will run the world will be far more advanced and heuristic than the kind we have today.