An interpretable machine learning framework for modelling human decision behavior.
Mengzhuo GuoQingpeng ZhangXiuwu LiaoYouhua ChenPublished in: CoRR (2019)
Keyphrases
- machine learning
- human behavior
- probabilistic model
- theoretical framework
- artificial intelligence
- pattern recognition
- data sets
- main contribution
- machine learning algorithms
- logic programs
- decision model
- conceptual framework
- inductive learning
- decision problems
- human body
- text classification
- reinforcement learning
- decision trees
- decision making
- computer vision
- data mining