Published February 5, 2021
| Version v1
Dataset
Open
20200623-DOLA
Description
Experiment design
Agent adapt ontologies to agree on decision taking.
Hypothesis: ['Success rate converges to 1', ' Improve the average accuracy at the end of the experiment', ' Agents do not necessarily converge to the same ontology']
Experimental setting: Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes.
Variables
independent variables: ['numberOfAgents', 'numberOfFeatures', 'numberOfClasses', 'ratio', 'sampleRatio']
dependent variables: ['ssrate', 'accuracy', 'distance']
link: http://sake.re/20200623-DOLA
Agent adapt ontologies to agree on decision taking.
Hypothesis: ['Success rate converges to 1', ' Improve the average accuracy at the end of the experiment', ' Agents do not necessarily converge to the same ontology']
Experimental setting: Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes.
Variables
independent variables: ['numberOfAgents', 'numberOfFeatures', 'numberOfClasses', 'ratio', 'sampleRatio']
dependent variables: ['ssrate', 'accuracy', 'distance']
link: http://sake.re/20200623-DOLA
Files
20200623-DOLA.zip
Files
(8.3 GB)
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md5:b1df1213c13d98f3f3f478e0ad7b68ef
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