Deep Blue system overview

By Feng-Hsiung Hsu, Murray Campbell, A. Joseph Hoane Jr.. 1995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shane Legg
2. Marcus Hutter
3. Matthew Lai
4. J. Urgen Schmidhuber
5. Ben Goertzel
6. Tom Everitt
7. José Hernandez-Orallo
8. Yoshua Bengio

Citations in the corpus

• Giraffe: Using Deep Reinforcement Learning to Play Chess (2015, background): “…could not have been searching more than 3-5 positions per second, while Deep Blue, a supercomputer with 480 custom ”chess processors”, searched about 200 million positions per second [1][2] to play at approximately equal strength (Deep Blue won the 6-game match with 2 wins, 3 draws, and 1 loss).”
• Universal Intelligence: A Definition of Machine Intelligence (2007, background): “Indeed even the mentally demanding task of playing chess can be largely reduced to brute force search (Hsu et al. 1995).”