Create and evolve your own digital lifeforms! Watch or interact as your creations adapt and thrive in a world governed by the laws of physics. Download now and start your own evolutionary journey!
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Positiv (16) - 81 % der 16 Nutzerrezensionen für dieses Spiel sind positiv.
Veröffentlichung:
16. Sep. 2022
Entwickler:
Publisher:

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Early Access-Spiel

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Hinweis: Spiele im Early Access sind noch nicht fertiggestellt und können in Zukunft Änderungen erhalten. Wenn Ihnen das Spiel im aktuellen Zustand nicht gefällt, warten Sie eine Weile, um zu sehen, wie sich das Spiel weiterentwickelt. Mehr erfahren

Was die Entwickler zu sagen haben:

Wozu Early Access?

„EvoLife is an ambitious evolution simulation project. Simulating life on a cell level with realistic hard body and fluid physics is an experiment enabled by leading edge technologies. By the nature of the tech stack used it is difficult to debug, and I need your help to catch the bugs that slipped by. As a sandbox game each and every gamer plays it a little bit differently. I'm excited to see how others play with it and develop tools and features to make any style of play smooth and free flowing. My goal is to be able to reliably evolve multicellular organisms from different starting points. Currently there are cells connecting in the style of filamentous algae but no real cell differentiation is happening.
I came a long way during these years developing my hobby project, my dream, my vision. I will continue to work on it. I am going to make it work and I am going to make it blazing fast. I dream of a big big digital aquarium with millions and millions of cells, thousands of multi-cellular organisms coexisting with the simplest unicellular life forms peacefully living day by day as a main decorative element of my living room.“

Wie lange wird dieses Spiel ungefähr den Early Access-Status haben?

„Early Access is expected to last 18 to 24 months.“

Wie soll sich die Vollversion von der Early Access-Version unterscheiden?

„Additional features I want to implement for the 1.0 version:
- cells producing biominerals (shells, bones, houses)
- cells healing
- more simulation constans settable from gui
- cells transporting energy and hormones trough connections
- organelles depending on other organelles already present (organelle lvl up tree)
- better cell decision visualization
- more intuitive gui“

Was ist der derzeitige Stand der Early Access-Version?

„It is fully playable. You can create a world (settable size), generate a 2d landscape using the built in perlin noise based world generator or build it by hand yourself, the world is interactive and editable. You can view and edit species dna, add cells with different dnas to the world, and watch them prosper or perish depending on the environment you created. You can turn on evolution, which randomly mutates (parameters settable) the dna of the cells. You can save your game state and load it back.“

Wird dieses Spiel während und nach Early Access unterschiedlich viel kosten?

„I plan to gradually raise the price as features are implemented.“

Wie werden Sie versuchen die Community in den Entwicklungsprozess miteinzubeziehen?

„I want to create a passionate community and involve people by listening to their feedback and bug reports, identify different play styles and focus development to support each of them.“
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Infos zum Spiel

EvoLife - Demo

I am just a solo dev, I could test the simulation on an RX 6750 XT, a GT 710 and an NVS 4200M. To remedy this issue I want to provide a free demo you can try out, to check if the game works on your machine.

Please make sure you have the newest drivers installed for your graphics card.

Demo limitations:

  • Only the smallest world size is available

  • No built-in savefiles from the trailer

  • No DNA editing

EvoLife - Evolution Simulator

For this simulation my vision was to simulate a whole ecosystem of cells. There are many grid-like simulations, where artificial life exists in a grid. There are many game-like simulations where whole creatures are simulated. Sadly none of these fills the niche I am interested in.

I am specifically interested in the boundary of single celled and multicellular life. How did multicellular life come to be? How cells work together as an organism? How many ways can multicellularity evolve? There are only theories as the answer lies in the un-fossilized past.

To achieve this I simulate individual cells, and their individual organelles. I do not want to force multicellularity by having dedicated types of cells. Each cell can perform multiple things, can decide which organelles to grow. I want single celled life to be just as feasible and diverse as multicellular. I want the local environment to decide how the most successful life form should look like.

I choose deep sea vents as the setting for my game, deep underwater. At the beginning of the simulation, random species are generated and spawned in. Sadly most of the random generated DNA is garbage, and most species die out very fast. But after a while, there are some winners. First these are very simple creatures, as there are a lot of gas bubbles and dead cells floating around, and both can be broken down for energy, with the correct type of organelle. There is a chance that DNA mutates when a cell divides. If we are patient, complexity emerges. Food becomes more and more scarce. Species differentiate, as they find different niches to fill.

This simulator is my pet project, 10 years in the making! It is running entirely on the video card. You don't need a supercomputer, just a mid range card to simulate hundreds of thousands of cells. The world in the trailer is the result of running the biggest world preset on my RX 6750 XT for a week. Hopefully the advancement of video cards makes even bigger worlds a possibility!

Systemanforderungen

    Mindestanforderungen:
    • Setzt 64-Bit-Prozessor und -Betriebssystem voraus
    • Betriebssystem: Windows 10 64bit
    • Arbeitsspeicher: 1 GB RAM
    • Grafik: OpenGL 4.3+ capable
    • Speicherplatz: 1 GB verfügbarer Speicherplatz
    • Zusätzliche Anmerkungen: Tested and working on Ubuntu 22.04 with Wine
    Empfohlen:
    • Setzt 64-Bit-Prozessor und -Betriebssystem voraus
    • Betriebssystem: Windows 10+ 64bit
    • Arbeitsspeicher: 2 GB RAM
    • Grafik: OpenGL 4.3+ capable, 2GB VRAM
    • Speicherplatz: 1 GB verfügbarer Speicherplatz

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