Resonant Networks, NYC

13 Oct 2024 - NYC

˚₊‧꒰ა ☆ Resonant Networks, NYC ☆ ໒꒱ ‧₊˚

Resonet is a network of resonant communities.

A Neuromorphic Social Communication System

ResoNet is a communication system that implements neural learning principles at a group level, creating an organic, self-organizing network that can scale to planetary proportions.

Core Concept

Groups function like neurons in a larger nervous system:

• They connect through weighted pathways
• Connection strengths evolve through actual use
• Information flows naturally along strong pathways
• New connections form through valuable interactions

Hebbian Learning Implementation

ResoNet implements “groups that fire together, wire together” - a social adaptation of Hebbian learning:

1. Strengthening Through Use
   • Successful message propagation strengthens connections
   • Value is determined by recipient group actions
   • Strength increases are proportional to remaining potential
2. Natural Decay
   • Unused connections gradually weaken
   • Maintains network efficiency
   • Enables adaptation to changing patterns
3. Bounded Plasticity
   • Connections have minimum and maximum strengths
   • Prevents both complete disconnection and runaway strengthening
   • Maintains network stability while allowing change
4. Bidirectional Effects
   • Communication pathways can strengthen in both directions
   • Creates natural feedback loops
   • Enables emergence of stable communication channels

This implementation creates a living network where:

• Valuable pathways naturally strengthen
• Unused connections naturally weaken
• Network topology emerges from actual use
• Groups develop specialized roles organically