19 Questions
Think of something a common person would know about, then I ask you questions and guess what it is.
Think of something a common person would know about, then I ask you questions and guess what it is.
19 Questions is a machine-learning game that finds out about things by playing games with users. The algorithm is based on Bayesian statistics, compared to other similar games use neural networks.
See also: notes on the the Bayesian/entropy approach and the GitHub project.
| Questions in knowledge base: | 564 |
|---|---|
| Objects in knowledge base: | 4,069 |
| Connections in knowledge base: | 231,619 |
| Games played: | 16,570 |
| New user-submitted objects: | 224 |
| Total object entropy: | 11.7 |