Editing Deep Blue (chess computer) (section)

===Other games===
Following Deep Blue's victory, [[artificial intelligence|AI]] specialist Omar Syed designed a new game, [[Arimaa]], which was intended to be very simple for humans but very difficult for computers to master;<ref>{{Harvnb|Syed|Syed|2003|page=138}}</ref><ref>{{cite web |title=Deep Blue: Cultural Impacts |url=http://www-03.ibm.com/ibm/history/ibm100/us/en/icons/deepblue/impacts/ |url-status=dead |archive-url=https://web.archive.org/web/20140330200410/http://www-03.ibm.com/ibm/history/ibm100/us/en/icons/deepblue/impacts/ |archive-date=30 March 2014 |access-date=5 June 2020 |work=IBM100 |publisher=IBM}}</ref> however, in 2015, computers proved capable of defeating strong Arimaa players.<ref>{{Harvnb|Wu|2015|page=19}}</ref> Since Deep Blue's victory, computer scientists have developed software for other complex board games with competitive communities. The AlphaGo series ([[AlphaGo]], [[AlphaGo Zero]], [[AlphaZero]]) defeated top [[Go (game)|Go]] players in 2016–2017.<ref name=":1">{{cite journal|last1=Silver|first1=David|last2=Hubert|first2=Thomas|last3=Schrittwieser|first3=Julian|last4=Antonoglou|first4=Ioannis|last5=Lai|first5=Matthew|last6=Guez|first6=Arthur|last7=Lanctot|first7=Marc|last8=Sifre|first8=Laurent|last9=Kumaran|first9=Dharshan|last10=Graepel|first10=Thore|last11=Lillicrap|first11=Timothy|display-authors=3|date=6 December 2018|title=A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play|url=http://discovery.ucl.ac.uk/10069050/1/alphazero_preprint.pdf|journal=Science|volume=362|issue=6419|pages=1140–1144|doi=10.1126/science.aar6404|pmid=30523106|bibcode=2018Sci...362.1140S|s2cid=54457125|access-date=4 January 2022|archive-date=1 September 2019|archive-url=https://web.archive.org/web/20190901220135/http://discovery.ucl.ac.uk/10069050/1/alphazero_preprint.pdf|url-status=live}}</ref><ref>{{cite web|date=27 May 2017|title=Google's AlphaGo retires on top after humbling world No. 1|url=https://phys.org/news/2017-05-google-alphago-humbling-world.html|url-status=live|access-date=4 January 2022|website=phys.org|language=en|archive-url=https://web.archive.org/web/20170528000109/https://phys.org/news/2017-05-google-alphago-humbling-world.html |archive-date=28 May 2017}}</ref>