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This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: 20220516-DOLAExperiment design: Agent adapt ontologies to agree on decision taking. Introducing rarity index for agents to consider before adapting.Experiment setting: Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodesHypotheses: Success rate converges to 1. Improve the average accuracy at the end of the experiment.Detailed information can be found in index.html or notebook.ipynb.[1] https://sake.re/20220516-DOLA[2] https://gitlab.inria.fr/moex/lazylav/
Cultural Evolution, Multi-agent Simulation
Cultural Evolution, Multi-agent Simulation
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