Rating Systems for Gameplayers, and Learning (1994)
| Venue: | CLIENT RESOURCES ON THE INTERNET, IEEE MULTIMEDIA SYSTEMS ’99 |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Smith94ratingsystems,
author = {Warren D. Smith},
title = {Rating Systems for Gameplayers, and Learning},
booktitle = {CLIENT RESOURCES ON THE INTERNET, IEEE MULTIMEDIA SYSTEMS ’99},
year = {1994},
pages = {302--307},
publisher = {}
}
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Abstract
This report studies rating systems: systems that produce quantitative measures, called "ratings," of the ability of players in a league, based on game results. By "quantitative", it is meant that win odds for a game between two players in the league may be estimated from their ratings. We consider both `static' and `dynamic' systems. The latter update the ratings after each game. Attention is given to noise in rating systems and to the distribution of ratings in the player population. Some real-world data is also included. This subject may be of interest to gamblers, gaming leagues, psychologists, consumer groups, and industry.
