Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models.
Beau G. SchelbleChristopher FlathmannLorenzo Barberis CanonicoNathan J. McNeesePublished in: HICSS (2021)
Keyphrases
- game theory
- learning models
- cooperative
- multi agent systems
- machine learning
- public goods
- game theoretic
- evolutionary game theory
- multi agent cooperation
- learning tasks
- resource allocation
- loss function
- human cognition
- machine learning algorithms
- semi supervised learning
- learning problems
- nash equilibrium
- artificial intelligence
- multi agent learning
- fictitious play
- statistical physics
- learning algorithm
- conditional random fields
- reinforcement learning
- nash equilibria
- solution concepts
- text mining
- classification models
- text categorization
- autonomous agents