What Is Swarm Intelligence? And How It Predicted Time’s Person Of The Year Correctly

What Is Swarm Intelligence? Swarm Intelligence dictates that groups are smarter in thinking as compared to individuals. It exists when many individuals coordinate with one another in decentralized systems of control based on the principle of self-organization. We often see this manifest in nature such as flocks of birds, a swarm of bees, and school of fishes. Swarm intelligence combines the powers of many into one. Swarm intelligence is beautiful because it allows the exploration of a variety of alternatives based on a principle of collective wisdom that is often generated based on the environmental surroundings and individual interactions among the members. Thanks to the advent of AI, we can now implement swarm intelligence to humans. People can collectively work together to make predictions, pick stocks, reach decisions, ask questions and more by applying artificial swarm intelligence. Swarm intelligence is often studied in two major areas: Natural Systems: Natural systems comprise of the swarms that manifest in biological systems such as the colonies of termites and ants, a herd of land animals and more. Artificial Systems: Artificial Systems comprise of systems generated by humans such as robotics and more. Swarm intelligence is based on the following characteristics: The system is composed of a large number of individuals The system is composed of homogenous individuals having similar characteristics. Information must be exchanged among the individuals either directly or via the environment. In other words, the group must operate on the basis of self-organization. Interactions among the individuals must only be based on local information. Research in the field of Swarm intelligence started back in the 1980s. Since then it has found its application in many practical fields such as optimization problems, social sciences and engineering. Swarm Intelligence makes a system flexible since swarms modify their behaviour according to their surroundings. Therefore they can adapt to varying landscapes and problems. Moreover, since the system is not dependent on a particular individual in the group, it is robust and continues to perform even if some members of the group become inactive and unable to perform. Swarm intelligence also makes a system scalable, it can work in small groups to large groups compromising of millions of individuals without affecting the quality of the system or requiring any changes. The system works fast, changes can be incorporated into the system quickly. Swarm intelligence also makes it possible to perform parallel actions in the system because individuals in the system can work by performing different actions simultaneously at different places. This makes the system much more useful as it makes it more flexible and it allows the swarm to work on different complex aspects of the task simultaneously. On the downside, it is difficult to predict the behaviour in a system based on swarm intelligence. Even if one understands the behaviour of an agent working in the system, it will be difficult to predict the behaviour of the whole swarm or colony. The system is highly sensitive to changes. Even a small change in the environment of the swarm or colony may result in the change in the system. Humans did not develop swarm intelligence naturally because unlike other creatures they do not have the subtle connections amongst each other to form a tight feedback loop. For instance, birds detect movement in the flock. Fish detect the tremors in the water. For humans, until a few years ago no such connection was possible. However, now due to the revolution in information technology, such connections have become possible. Today we can use the internet and other technology to connect with almost anyone located anywhere in the world....
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