Exploration of Collective Intelligence through simulation of autonomous agents working together.
Autonomous agents solving Sudoku by reducing stress. Each number is an agent that moves to reduce their own stress rom not being unique.
Simulation of autonomous agents collectively finding global maxima. Each agent is unique, having in their set of needs: Certainty, Variety, Connection/Love, Significance, Growth and Contribution.
Inspired by Kenneth Stanley and his Picbreeder. Not really agents but vastly interesting anyway. Hidden neurons use a mix of transfer functions: sin, cos, gauss, id, sigmoid. Original Picbreeder uses CPPN‑NEAT with innovation-number crossover. This demo uses a fixed feedforward topology and performs uniform crossover over parameters.
Inspired by Michael Levin and his work. Agents
Agents sort themselves witout global supervision or control. The user can place obstacles making it harder for the agents to sort themselves.