A Beginner’s Guide to Artificial Life Models: Concepts, Applications, and Hands-On Roadmap

Author(s): Jack Ka-Chun, Yu

Originally published on Towards AI.

Discover how to simulate life, evolution, and swarm behavior from scratch using Python.

An Artificial Life Model (ALife Model) is a computational framework used to simulate, understand, and explore life-like phenomena. These models are not necessarily based on the exact biological mechanisms but instead focus on abstracting fundamental traits of life, such as:

The article explains the concept of Artificial Life Models (ALife Models), describing their computational frameworks that simulate life-like phenomena focusing on fundamental traits such as self-replication and adaptation. It categorizes ALife into three types: soft, hard, and wet ALife. The article further discusses their real-world applications in biological research and artificial intelligence and emphasizes Soft ALife as the most accessible form for experimentation. Lastly, it outlines a step-by-step guide on building a Soft ALife simulation project, including defining desired behaviors and designing agent properties.

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Published via Towards AI