Inferring to cooperate: Evolutionary games with Bayesian inferential strategies
Strategies for sustaining cooperation and preventing exploitation by selfish agents in repeated games have mostly been restricted to Markovian strategies where the response of an agent depends on the actions in the previous round. Such strategies are characterized by lack of learning. However, learn...
Saved in:
| Main Authors: | Arunava Patra, Supratim Sengupta, Ayan Paul, Sagar Chakraborty |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
|
| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/ad4e5e |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Coordinating cooperation in stag-hunt game: emergence of evolutionarily stable procedural rationality
by: Joy Das Bairagya, et al.
Published: (2025-01-01) -
Corrigendum: Inferring to cooperate: evolutionary games with Bayesian inferential strategies (2024 New J. Phys. 26 063003)
by: Arunava Patra, et al.
Published: (2025-01-01) -
Theoretical analyses for the evolution of biogenic volatile organic compounds (BVOC) emission strategy
by: Sotaro Hirose, et al.
Published: (2024-07-01) -
Differential Privacy in Federated Learning: An Evolutionary Game Analysis
by: Zhengwei Ni, et al.
Published: (2025-03-01) -
Defense strategies selection based on attack-defense evolutionary game model
by: Jian-ming HUANG, et al.
Published: (2017-01-01)