20210312-DOLA: Agent adapt ontologies to agree on decision taking (adaptation operators comparison)

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20210312-DOLA Experiment design: Agent adapt ontologies to agree on decision taking (adaptation operators comparison) Experiment setting: Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes; environment generated from dataset Hypotheses: hypotheses of 20200623-DOLA are still verified for different adaptation operators. Detailed information can be found in index.html or notebook.ipynb. [1] https://sake.re/20210312-DOLA [2] https://gitlab.inria.fr/moex/lazylav/