Gen 0
Pop 0
Avg energy 0
100%
🧬 Species in the dish
⚙️ World rules
Mutation rate2%
Energy drain1%
Reproduce at energy55
Population cap260
Map size1.2×
Colony cohesion0.08
Fortune (T-weighted)
Off — every defection pays exactly the asymmetric T-based amount, no randomness.
Fortune strength0.30
🔬 TIES cells only
Identity (I)0.70
Trust threshold (R)0.15
📊 Population
✦ Cultures of Light
An interactive exploration of how trust behaves as a strategy. Built to test the TIES model — a new, original framework (Security · Identity · Environment · Technology — TIES) — together with classic game-theory strategies, and to make the model's behaviour visible and explorable.
🔵
Each glowing organism is one participant. Its size shows how much energy it has stored — like food reserves. Big = thriving, shrinking = starving.
🤝
When two agents drift close, they play one round of the Prisoner's Dilemma: cooperate or betray. The outcome flashes as a ring of light right where they met.
👑
Participants who grow very wealthy become anchors — a soft halo appears around them, and nearby participants drift slightly toward that halo, pulled by its influence.
🌱
Prosperous participants split in two (reproduce). Occasionally a copy mutates — changes species or personality slightly.
TIES model © Konstantin Tarasov
Provided as-is, for educational and exploratory use. This is a browser-based simulation with light computational load, but as with any software you run it at your own risk; the author assumes no liability for any damage, loss, or device strain arising from its use.

How this world works

🔵

A participant is a single organism following one fixed strategy (TIES, Tit-for-Tat, etc). Its size indicates its energy — earned by playing rounds of the Prisoner's Dilemma against neighbours.

🍃

Energy drain is the energy each participant burns every cycle just to stay alive. Higher drain means participants must cooperate more actively to survive; at 0% nobody ever starves from upkeep alone.

🌱

Reproduce at energy is the threshold a participant must cross to split into two. Lower thresholds mean faster population growth; higher thresholds mean only the most successful participants multiply.

Cooperation (both play C) flashes a warm golden ring — both gain energy. Betrayal flashes red — the betrayer drains energy from the other.

👑

Anchors are the wealthiest participants on the field. Their halo represents real influence: nearby participants are nudged gently toward them, visualising how concentrated success reshapes the neighbourhood.

🕸

Threads connect same-strategy participants standing close together — a visual cue that a colony has formed, not just a random cluster.

🧬

Mutation occasionally changes a newborn's strategy or its internal TIES parameters (I, R) slightly — this is how new colony behaviours emerge over generations.

⚖️

Economic power (T) is each participant's material capacity, inherited and slowly mutating. A weak participant (low T) preying on a much stronger counterpart (high T) earns less than the classic betrayal payoff — sometimes even less than mutual cooperation would have paid. This makes "punching up" a bad trade for the weak side.

🎲

Fortune (optional, off by default) perturbs the realised payoff after it's calculated, weighted by T: the economically stronger side is favoured by circumstance more often, the weaker side less often — but neither outcome is ever guaranteed. It represents how real-world events (a good harvest, a market shift, a stroke of diplomatic luck) tend to compound existing strength rather than landing purely at random.

🧵

Axis alignment runs in the background at a fixed level. Same-strategy participants gradually align their orientations, and cohesion then favours stretching along a shared axis — producing visible chains rather than round blobs.

💓

Pulse sync (Kuramoto coupling) runs in the background at a fixed level. Dense, well-bonded colonies gradually pulse in unison; a participant caught between two differently-phased colonies stays out of step with both, marking a visible boundary between them.

TIES model © Konstantin Tarasov
Provided as-is, for educational and exploratory use. This is a browser-based simulation with light computational load, but as with any software you run it at your own risk; the author assumes no liability for any damage, loss, or device strain arising from its use.