Algorithm is usually considered as a sequence of rigorous instructions for solving a class of specific problems. A review of definitions of algorithm and its modifications like parallel, distributed, spatial analysis, mobile agents too, is provided. The Chapter compares SGT principles with algorithms, where self-evolving spatial scenarios in SGL often resemble massive spatial phenomena like virus, smog, radiation, rain, smell, light, or opinion, which are far more general and global than algorithmic sequences. It then treats SGT as a self-evolving recursive pattern spatially matching networked systems, potentially any continuous spaces too, up to the whole world. And finally shows how dynamic spatial capabilities of SGT may relate to non-algorithmic ideas especially popular in relation to living organisms and societies.