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This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: 20210927-DOTGExperiment design: Knowledge is transmitted between agents and across generations with different parent Selection methodsExperiment setting: Agents start with random ontologies which are used to interact with the environment and other agents; agents adapt their knowledge to interaction failures (intra-generation knowledge transmission); agents provide training samples to their children to learn ontologies (inter-generation knowledge transmission)Hypotheses: Intra-generation transmission can compensate to the absence of parent selectionDetailed information can be found in index.html or notebook.ipynb.[1] https://sake.re/20210927-DOTG[2] https://gitlab.inria.fr/moex/lazylav/
Cultural Evolution, Multi-agent Simulation
Cultural Evolution, Multi-agent Simulation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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