20220302-DOLA: Agent adapt ontologies to agree on decision taking. Introducing conformity index for agents to consider before adapting.

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: 20220302-DOLAExperiment design: Agent adapt ontologies to agree on decision taking. Introducing conformity 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/20220302-DOLA[2] https://gitlab.inria.fr/moex/lazylav/