20220516-DOLA: Agent adapt ontologies to agree on decision taking. Introducing rarity index for agents to consider before adapting.
Yasser Bourahla · Zenodo (CERN European Organization for Nuclear Research) · 2022
This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20220516-DOLA Experiment 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 nodes Hypotheses: 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/