Artificial Life

Artificial life (often called life) is a term applied collectively to develop mathematical models and computer simulations of ways in which organisms develop, grow, and evolve. Researchers in this new field wish to have a deep understanding of the essence of organic life and further possibilities of computer science and robotics engineering (see ROBOT). A Life technology is also used to explore the origins and chemical processes of metabolism.

Artificial life, also known as computer simulation of life, life, life, is often used to study the fundamental properties of life systems (such as evolution and adaptive behavior). Artificial life has become a recognized field in the 1980s. This is an American computer scientist Christopher Langton raised its name and held the first international conference on integrated system of life system and simulation in 1987. . LM Los Angeles National Laboratory, New Mexico states that artificial life is "positioning life in life - positioning life as much as possible in life". This is a concept of bringing together people who are interested in adaptive systems and self-organizing systems. Not only in biology but also in economics, social science, and physics chemistry.

Artificial life simulates every aspect of life through computer, robot, biochemistry. Artificial life research imitates traditional biology by reconstructing certain aspects of biological phenomena. Scientists research the logic of life systems by creating artificial environments - trying to understand complex information processing that defines such systems. By definition, life exists, but artificial life is often called digital environment and existence limited data.

Artificial life studies the basic process of a living system in an artificial environment to gain a deeper understanding of complex information processing that defines such a system. These topics are extensive, but often include questions about the dynamics of evolution, the new attributes of the collective system, the biological simulation, and the use of realistic philosophy and realistic attributes in art. The traditional biological system model focuses on capturing those most important parameters. In contrast, the alife modeling approach usually solves the simplest and most common principles of life and attempts to run them in simulation. Then the simulation offers the possibility to analyze new and different realistic systems.