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THE RESEARCH

Lessons from
Ants at Work

Three decades of Deborah Gordon's research on harvester ant colonies, translated into principles for building emergent AI systems.

Active Research

STARTED
AGI Trader
Stigmergic Trading Intelligence

56.8%

Win Rate

3.5

Sharpe Ratio

99%

Confidence

Paper

Mode

Applying stigmergic principles to financial markets. The colony treats profitable trades as "food" and deposits pheromones on successful patterns. V3 backtest shows genuine edge with 99% statistical confidence.

Whitepapers

ONE Ontology
Six Dimensions of Knowledge

The core whitepaper describing our 6-dimension ontology framework: Groups, Actors, Things, Connections, Events, and Knowledge.

STAN Algorithm
Stigmergic A* Navigation

The pathfinding algorithm that fuses A* with pheromone-based optimization. How ants find optimal routes through search spaces.

About Deborah Gordon

🐜

Deborah M. Gordon is a professor at Stanford University who has studied harvester ant colonies in the Arizona desert since 1985. Her long-term studies—following the same colonies for over 25 years—revealed patterns invisible to short-term observation.

She demonstrated that ant colonies are not analogies for human organizations—they are genuinely different systems that challenge our assumptions about how intelligence can be organized.

"Ants have been evolving for more than 100 million years. They've had a long time to perfect their systems. We're just beginning to understand."

Key Publications

Ants at Work: How an Insect Society is Organized

Gordon, D.M. (1999). Free Press.

Ant Encounters: Interaction Networks and Colony Behavior

Gordon, D.M. (2010). Princeton University Press.

The Ecology of Collective Behavior

Gordon, D.M. (2014). PLOS Biology.

Swarm Intelligence: From Natural to Artificial Systems

Bonabeau, E., Dorigo, M., Theraulaz, G. (1999). Oxford University Press.

Contribute to the Research

The colony is a living research platform. Your insights, experiments, and discoveries become permanent knowledge.