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The concept of emergence is a powerful concept to explain very complexbehaviour by simple underling rules. Existing approaches of producing emergentcollective behaviour have many limitations making them unable to account forthe complexity we see in the real world. In this paper we propose a newdynamic, non-local, and time independent approach that uses a network likestructure to implement the laws or the rules, where the mathematical equationsrepresenting the rules are converted to a series of switching decisions carriedout by the network on the particles moving in the network. The proposedapproach is used to generate patterns with different types of symmetry.

Dynamic Switching Networks: A Dynamic, Non-local, and Time-independent Approach to Emergence