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.<br><br>Experiment Label: 20220302-DOLA<br><br>Experiment design: Agent adapt ontologies to agree on decision taking. Introducing conformity index for agents to consider before adapting.<br><br>Experiment setting: Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes<br><br>Hypotheses: Success rate converges to 1. Improve the average accuracy at the end of the experiment.<br><br>Detailed information can be found in index.html or notebook.ipynb.<br><br>[1] https://sake.re/20220302-DOLA<br>[2] https://gitlab.inria.fr/moex/lazylav/<br><br>