Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approaches

TL;DR

This paper explores interactive and automated methods for designing self-organizing heterogeneous particle swarms, addressing the complexity of their dynamics and facilitating their spontaneous evolution within artificial ecosystems.

Contribution

It introduces enhanced interactive evolutionary design techniques and demonstrates spontaneous swarm evolution in artificial ecosystems, advancing swarm design methodologies.

Findings

Enhanced interactive evolutionary design methods for swarm configuration

Successful realization of spontaneous swarm evolution in artificial ecosystems

Improved understanding of self-organization dynamics in heterogeneous particle swarms

Abstract

Self-organization of heterogeneous particle swarms is rich in its dynamics but hard to design in a traditional top-down manner, especially when many types of kinetically distinct particles are involved. In this chapter, we discuss how we have been addressing this problem by (1) utilizing and enhancing interactive evolutionary design methods and (2) realizing spontaneous evolution of self organizing swarms within an artificial ecosystem.