Natural computation is a type of problem solving that is inspired by nature. Think of it like animals in the wild. They have to use their instincts and abilities to survive and find food.
Computers can use similar strategies to solve problems. For example, genetic algorithms use the principles of natural selection to find the best solution to a problem. This means that the computer tests different variations of a solution, and the ones that work best are "selected" and used to create new variations for the next round of testing.
Another example is neural networks, which are modeled after the structure of the human brain. They can be used to recognize patterns in data, like identifying images or understanding spoken language.
Overall, natural computation uses nature as a guide for creating intelligent computer algorithms, allowing us to solve complex problems in new and innovative ways.