Abstract

Artificial life is an interdisciplinary field that seeks to understand, simulate, and create life-like systems using biological, chemical, and computational approaches. By leveraging synthetic biology, artificial intelligence, robotics, e and complex systems theory, researchers aim to develop self-replicating, adaptive, and evolving systems that blur the line between natural and artificial life. Advances in genome synthesis, machine learning, and bio-inspired robotics are expanding the possibilities of artificial life, with applications ranging from medical research and biotechnology to artificial ecosystems and space exploration. This article explores the principles, methodologies, and implications of artificial life, highlighting its potential to redefine our understanding of biology and technology.