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Natural computation uses materials or inspiration from nature to create more efficient solutions to problems. Examples include artificial neural networks and quantum computers. It can also refer to engineering artificial organisms and self-assembly. Other examples include robotics, evolutionary computing, and swarm intelligence.
Natural computation refers to any type of computing technique that uses materials or inspiration from nature. Examples of natural computing include the development of artificial neural networks that adapt to changes and the design of quantum computers that could potentially be many times more powerful than current computers. Natural calculus can also refer to the creation of man-made substances that mimic those found in nature.
There are a number of computational fields that use ideas from nature to create more efficient solutions to problems. Some computers were also developed in the early 21st century to use natural materials, such as certain molecules, to perform faster and more efficient calculations. These techniques are all forms of natural computation, because they wouldn’t exist without detailed knowledge of how natural systems work.
Natural computation can also refer to the attempt to engineer artificial organisms that behave like natural systems. These include trying to build systems capable of carrying out processes such as gene regulation, which is important in living organisms. Another example is self-assembly, which refers to systems that can organize themselves from an initial disorganized state.
Neural networks, for example, are often used by computer programmers who want a program to automatically become more efficient over time. These are based on structures found in natural neural networks, such as those found in neurons in the brain. By using simple versions of the systems found in natural neural networks, computer programmers are able to make their programs more adaptable to new information. As of 2011, artificial neural networks do not approach the complexity of natural neural networks, but they can still be useful.
Another example of natural computation is research into how to build a quantum computer. The idea is that instead of modern computers, which do calculations based on the binary states of 0 or 1, a quantum computer could theoretically use many more states. This could lead to much faster computers. While a quantum computer is still thought to be a long way off, as of 2011, there seems to be no scientific reason why it couldn’t be made once the technology gets advanced enough.
There are a variety of other examples of natural calculus. These include artificial life design, robotics and evolutionary computing. Swarm intelligence, which is a type of system that mimics large groups of animals like ants, could also be important in the future. It has a number of potential applications, especially when trying to predict future events.
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