Incentivising cooperation by judging a group’s performance by its weakest member in neuroevolution and reinforcement learning
IntroductionAutonomous agents increasingly interact within social domains such as customer service, transportation, and healthcare, often acting collectively on behalf of humans. In many of these scenarios, individually greedy strategies can diminish overall performance, exemplified by phenomena suc...
Saved in:
| Main Authors: | Jory Schossau, Bamshad Shirmohammadi, Arend Hintze |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1599676/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of a Neuroevolution Machine Learning Potential of Al-Cu-Li Alloys
by: Fei Chen, et al.
Published: (2025-01-01) -
Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization
by: Hyasseliny A. Hurtado-Mora, et al.
Published: (2025-03-01) -
Classification of Common Bean Landraces of Three Species Using a Neuroevolutionary Approach with Probabilistic Color Characterization
by: José-Luis Morales-Reyes, et al.
Published: (2025-06-01) -
THE BOLIVIAN ORGANIC QUINOA IN THE FAIRTRADE MARKET, IMPLICATIONS FOR THE WEAKEST LINK IN THE VALUE CHAIN: SMALL-SCALE FARMERS
by: Nadine Stöcker, et al.
Published: (2024-11-01) -
Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks
by: D. O. Petrov
Published: (2024-09-01)