Published January 20, 2023
| Version v1
Dataset
Open
20230120-MTOA: Carrying fewer tasks does not affect the accuracy of resource-restricted agents but improves the prosperity and equitability of agent societies.
Description
This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.
Experiment Label: 202300120-MTOA
Experiment design: Agents specialize through expressing their preferences.
Experiment setting: Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task.
Hypotheses: The higher is the number of carried out tasks, the higher the average accuracy is.
Detailed information can be found in index.html or notebook.ipynb.
[1] https://sake.re/20230120-MTOA
[2] https://gitlab.inria.fr/moex/lazylav/
Experiment Label: 202300120-MTOA
Experiment design: Agents specialize through expressing their preferences.
Experiment setting: Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task.
Hypotheses: The higher is the number of carried out tasks, the higher the average accuracy is.
Detailed information can be found in index.html or notebook.ipynb.
[1] https://sake.re/20230120-MTOA
[2] https://gitlab.inria.fr/moex/lazylav/
Files
20230120-MTOA.zip
Files
(529.7 MB)
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