Bridge the Gap: Evolving Bridging Behaviors in Self-Organizing Particle Systems

In this thesis, we provide a basis for discovering the local interactions within shortcut bridging - a collective behavior that connects two resources with a distance workforce trade-off. We utilize an evolutionary search framework, EvoSOPS, to discover stochastic algorithms for shortcut bridging in self-organizing particle systems. The method described within this thesis is not fully successful in discovering qualitatively good bridges but provides an insight into what will.