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A game of life that is not a cellular automaton, but rather a meaningless eyecandy.

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Life Extravaganza

This project is meant to bring a nice little eyecandy idea from the 1990s to modern platforms. So far, I implemented a variant of the idea in Python, but variants that work in a browser are much welcome.

Quick start

Currently the program consists of one file only, with merely about 500 lines. You simply run this file using python.

For this, you need a recent version of Python (either 2 or 3 is fine) as well as pygame.

Back story

Once upon a time, a young fellow named Christian Kothe toyed around with Turbo Pascal 7, coming up with a program that made for cool eyecandy. It simulated and visualized protozoal lifeforms---for lack of a better word called: `livators'---and their struggle for survival.

Livators, each one represented by a circle, wafted around the screen in random motion, gathering nutrition. Nutrition was represented by grey pixels of varying intensity, which corresponded to the nutritional value. Thereby the livators could grow and eventually divide, and thus procreate. A livator could also shrink, as motion depleted its resources, and then it would die, in particular when the demand for nutrition exceeded its supply.

The livators were grouped into teams with different colors, and livators from different teams were battling each other using advanced weaponry and armoury, such as lasers, heat-seeking missiles, and shields. Visualization mainly relied on particle effects, which were cheap given the MCGA resolution and a clever use of the 256 color palette.

Original vs. new

The current version is due to Matthias Büchse. It

  • uses a higher resolution. It therefore
  • has no particle effects.
  • does not have lasers or shields.
  • uses a torus surface as playing field instead of a rectangle. From the livator's point of view, the world has no boundaries. From the spectator's point of view, a livator that exits the screen on one side reenters it at the opposite side.

Potential improvements

What might be done next, either to advance the implementation or the idea. This could involve you!

Bring it to the web

It would be cool to have an implementation in HTML 5/JavaScript, but I cannot stomach JavaScript at all, nor its brethren CoffeeScript and the like. Fortunately, there may be an alternative route towards such an implementation that goes via C++, LLVM, and emscripten, as demonstrated by Unreal Engine 4. Or one might even use empythoned.

Come closer to the original version

For instance, one might use the original resolution and palette and then interpolate. An example where this works well is ScummVM.

Use modern graphics

It may or may not be appropriate for the underlying idea, but one could try and use modern 3D graphics. For instance, if the world lies on a torus surface, why not show the torus? Then again, any given time an estimated 50 % of the torus surface would be occluded by other parts of the torus, so one would miss out on a lot of the action.

Another idea would be to visualize the livators three-dimensionally, e.g., as spheres. Finally, one could even make the whole world three-dimensional. As stated above, this may, in the end, not be appealing at all.

Incorporate genetics

Each livator's life is governed by a set of parameters:

  • how long until a new missile becomes ready,
  • average time of an acceleration phase,
  • probability of starting an acceleration phase,
  • the size at which to divide into two,
  • the maximum size, and probably others.

It might be interesting to introduce mutation into this scenario so as to simulate survival of the fittest. However, the above-mentioned parameters do not have an apparent phenotype, and they would be hard to visualize.

Going further, one might replace the concept of teams by species. As in real life, it is hard to come up with a working definition of a species. It is simple to define a metric on genes, that is, a notion of genetic distance. But it is hard to derive an equivalence relation from such a metric: imagine three livators A, B, and C, where A is close to B, B is close to C, but A is not close to C. Then how can these livators be grouped into teams?

License

This implementation is under GPLv3. Christian's idea is under CC-BY-SA 4.0

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