Final answer:
A Genetic algorithm is an artificial intelligence system that uses the principles of evolutionary biology to generate solutions to a problem by mimicking natural selection.
Step-by-step explanation:
An artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem is known as a Genetic algorithm. Genetic algorithms effectively define artificial intelligence as "the simulation of human intelligence by machines programmed to mimic human thought and actions". They are inspired by biological processes such as natural selection, where organisms evolve over time by selectively breeding individuals with desired traits.
A genetic algorithm is an artificial intelligence system that mimics the evolutionary process to generate better solutions to a problem.
An artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem is called a genetic algorithm. This type of AI system is inspired by natural selection and uses techniques such as mutation, crossover, and selection to generate and improve solutions to a given problem. It starts with an initial population of solutions, evaluates their fitness, and then applies genetic operators to evolve better solutions over successive generations. The process continues until an optimal solution is found or a stopping criteria is met.
Genetic algorithms start with a set of possible solutions (represented by a set of 'chromosomes') and then use crossover, mutation, and selection to iteratively produce new generations of solutions that are better adapted to solve the problem. This approach is analogous to the artificial selection process which involves humans selecting which individuals are allowed to reproduce based on desired traits.