This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20230523-VBCE Experiment design: Agents adapt ontologies to agree on decision taking. Introducing cultural values (independece, novelty, authority, mastery) that influence which agent adapts in case of interaction failure. Experiment setting: Agents learn decision trees (transformed into ontologies); get payoffs according to cultural values; adapt by splitting their leaf nodes Hypotheses: Positive mastery is needed for increasing accuracy. Negative independence causes the success rate to converge faster. Negative novelty increases ontology distance. Positive authority increases accuracy when used with positive mastery. Detailed information can be found in index.html or notebook.ipynb. [1] https://sake.re/20230523-VBCE [2] https://gitlab.inria.fr/moex/lazylav/