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Detecting Cheating in Chess

Detecting Cheating in Chess

FromData Skeptic


Detecting Cheating in Chess

FromData Skeptic

ratings:
Length:
45 minutes
Released:
May 22, 2015
Format:
Podcast episode

Description

With the advent of algorithms capable of beating highly ranked chess players, the temptation to cheat has emmerged as a potential threat to the integrity of this ancient and complex game. Yet, there are aspects of computer play that are measurably different than human play. Dr. Kenneth Regan has developed a methodology for looking at a long series of modes and measuring the likelihood that the moves may have been selected by an algorithm.
The full transcript of this episode is well annotated and has a wealth of excellent links to the things discussed.
If you're interested in learning more about Dr. Regan, his homepage (Kenneth Regan), his page on wikispaces, and the amazon page of books by Kenneth W. Regan are all great resources.
Released:
May 22, 2015
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.