Visualizing Evolutionary Dynamics of Self-Replicators Using Graph-Based Genealogy

We present a general method for evaluating and visualizing evolutionary dynamics of self-replicators using a graph-based representation for genealogy. Through a transformation from the space of species and mutations to the space of nodes and links, evolutionary dynamics are understood as a flow in graph space. Mapping functions are introduced to translate graph nodes to points in an n-dimensional visualization space for interpretation and analysis. Using this scheme, we evaluate the effect of a dynamic environment on a population of self-reproducing loops. Resulting images visually reveal the critical role played by genealogical graph space partitioning in the evolutionary process.

• Type: Conference
• Year: 2003
• Where: ECAL
• Authors: Chris Salzberg, Antony Antony, Hiroki Sayama
• Keywords: ECAL 2003, Evolutionary Dynamics, Graph Space, N-dimensional Visualization Space