LambdaGenesis V2

Artificial Life • Symbolic Ecology • Graph Chemistry • Emergent Computation

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Overview

LambdaGenesis V2 transforms the original symbolic chemistry prototype into:

• graph-based chemistry
• executable symbolic structures
• spatial ecology
• catalytic interaction networks
• lineage tracking
• entropy analysis
• autocatalytic motif discovery

Inspired by:

• AlChemy
• Avida
• Tierra
• Lambda Calculus Chemistry
• Autocatalytic Set Theory
• Origin-of-Life Research

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Major Additions

Graph Molecules

Molecules are executable graph structures.

Spatial Ecology

Agents occupy a 2D world.

Catalytic Networks

Reaction loops form persistent organizations.

Entropy Metrics

Complexity and diversity are tracked over time.

Evolutionary Lineages

All reactions generate ancestry graphs.

Emergent Dynamics

Ecological pressure drives symbolic evolution.

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Run

source .venv/bin/activate
python run.py

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Research Presentation Layer

LambdaGenesis now includes:

• ecology visualization
• animated exports
• complexity plots
• entropy tracking
• promotional assets
• research abstracts
• social launch templates

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Core Questions

• Can symbolic graph chemistry self-organize?
• Can persistent catalytic structures emerge?
• Can ecological pressure drive adaptive symbolic evolution?
• Can open-ended symbolic complexity appear naturally?

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Generated Artifacts

media/screenshots/
media/gifs/
media/plots/