Technology Category
Machine Learning: Evolutionary LearningSearch and Optimization: Evolutionary ComputationMultiagent Systems: Agent-Based Simulation and Emergent Behavior
A speciation simulation that partly passes open-endedness tests
🤖 AI Summary
This study investigates the realization of open-ended evolution—characterized by the continual emergence of increasingly complex and novel entities and processes—in artificial life systems mimicking Earth-like biospheres. To this end, we implement a gene-centric evolutionary model within the Tree of Life Simulation (ToLSim) platform and, for the first time, apply the Tokyo Type 1 criteria for open-ended evolution to this system, introducing a quantitative framework based on genetic components. Evolutionary activity statistics reveal that while the system exhibits unbounded cumulative evolutionary activity, both normalized total and median activity remain bounded, and new evolutionary activity asymptotically approaches zero, indicating that full open-endedness has not yet been achieved. This work establishes a reproducible testing paradigm and quantitative benchmark for evaluating open-ended evolution in artificial life.
Technology Category
Application Category
📝 Abstract
One of the main goals of artificial life research is to recreate in artificial systems the trends for ever more complex and novel entities, interactions and processes that we see in Earth's biosphere, that is, to create open-ended systems. In this paper, we test for Tokyo type 1 open-ended evolution (OEE) of the Tree of Life Simulation (ToLSim), an artificial life software created by Lana Sinapayen. To do so, we conducted an experiment to measure evolutionary activity statistics. These require us to define the notion of components. Here, we define components as the agent's genes. The results show that ToLSim is capable of exhibiting unbounded total cumulative evolutionary activity. However, total and median normalized cumulative evolutionary activity appear bounded and new evolutionary activity is persistently null, suggesting that ToLSim is not open-ended. Further studies on ToLSim could repeat this experiment with individuals or even species, rather than genes, to test whether the present results are valid.
Problem
Research questions and friction points this paper is trying to address.
open-ended evolution
artificial life
evolutionary activity
speciation simulation
Tree of Life Simulation
Innovation
Methods, ideas, or system contributions that make the work stand out.
open-ended evolution
evolutionary activity statistics
Tree of Life Simulation
artificial life
speciation simulation
🔎 Similar Papers
2024-05-12arXiv.orgCitations: 5
