20220516-DOLA: Agent adapt ontologies to agree on decision taking. Introducing rarity 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: 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/