Artificial life

Artificial life often abbreviated ALife or A-Life is the field of explore wherein researchers analyse systems related to natural life, its processes, as well as its evolution, through the use of simulations with computer models, robotics, as well as biochemistry. a discipline was named by Christopher Langton, an American theoretical biologist, in 1986. In 1987 Langton organized the first conference on the field, in Los Alamos, New Mexico. There are three leading kinds of alife, named for their approaches: soft, from software; hard, from hardware; and wet, from biochemistry. Artificial life researchers study traditional biology by trying to recreate aspects of biological phenomena.

Philosophy

The modeling philosophy of artificial life strongly differs from traditional modeling by studying not only "life-as-we-know-it" but also "life-as-it-might-be".

A traditional model of a biological system will focus on capturing its almost important parameters. In contrast, an alife modeling approach will broadly seek to decipher the almost simple and general principles underlying life and implement them in a simulation. The simulation then provides the possibility to analyse new and different lifelike systems.

Vladimir Georgievich Red'ko delivered to generalize this distinction to the modeling of all process, leading to the more general distinction of "processes-as-we-know-them" and "processes-as-they-could-be".

At present, the commonly accepted definition of life does not consider any current alife simulations or software to be alive, and they gain not constitute factor of the evolutionary process of any ecosystem. However, different opinions about artificial life's potential produce arisen: