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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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20220516-DOLA: Agent adapt ontologies to agree on decision taking. Introducing rarity index for agents to consider before adapting.

Authors: Bourahla, Yasser;

20220516-DOLA: Agent adapt ontologies to agree on decision taking. Introducing rarity index for agents to consider before adapting.

Abstract

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: 20220516-DOLAExperiment 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 nodesHypotheses: 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/

Keywords

Cultural Evolution, Multi-agent Simulation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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