{"id":205137,"date":"2017-02-06T23:41:55","date_gmt":"2017-02-07T04:41:55","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/artificial-intelligence-tops-humans-in-poker-battle-whats-the-big-deal-pokernews-com.php"},"modified":"2017-02-06T23:41:55","modified_gmt":"2017-02-07T04:41:55","slug":"artificial-intelligence-tops-humans-in-poker-battle-whats-the-big-deal-pokernews-com","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-tops-humans-in-poker-battle-whats-the-big-deal-pokernews-com.php","title":{"rendered":"Artificial Intelligence Tops Humans in Poker Battle  What&#8217;s the Big Deal? &#8211; PokerNews.com"},"content":{"rendered":"<p><p>HomeNewsPokerNews Op-Ed   <\/p>\n<p>    Deep Blue was one hell of a chess player.  <\/p>\n<p>    It was February 1996 and the machine developed by IBM was    locked in battle with Gary Kasparov. Chess was big news    as the computer system project originally begun in 1985 at    Carnegie Mellon University attempted to do something other    chess-playing devices had been unable to do beat a    reigning world champion.  <\/p>\n<p>    Even those with only a passing interest in chess like myself    were intrigued by the matchup. Deep Blues designer said the    machine could evaluate 200 million positions per second, and at    the time, it was the fastest computer to match up with a world    chess champion. Reports on the days progress were published in    newspapers all across the globe.  <\/p>\n<p>    Ultimately, the first match of six games was a victory for    humanitywith Kasparov notching a 4-2 victory. However, in    May the following year, and after some additional    re-engineering, it was Deep Blue coming out on top.  <\/p>\n<p>    The Deep Blue phenomenon has been in my head for the last    couple weeks as four top poker players (Jason    Les, Daniel McAulay, Jimmy Chou and Dong Kim)        squared off against artificial intelligence software at the    Rivers Casino in Pittsburgh.  <\/p>\n<p>    This time the AI came out on top.  <\/p>\n<p>    As Reuters noted, Libratus    [Latin for balance], an AI built by Carnegie Mellon University    racked up over $1.7 million worth of chips against four of the    top professional poker players in the world in a 20-day    marathon poker tournament that ended on Tuesday.  <\/p>\n<p>    Headlines have trumpeted Libratus accomplishment around the    world. Here are just a few examples:  <\/p>\n<p>    Machine beats humans for the    first time in poker (Reuters)    Computer manages to beat 4 of    world's best poker players (FOX News)    A Computer Just Clobbered Four    Pros At Poker (FiveThirtyEight)    A Mystery AI Just Crushed the    Best Human Players at Poker (Wired magazine)    Artificial Intelligence Goes    All-in on Texas Holdem (Wall Street Journal)  <\/p>\n<p>    Developers compared the victory to that of Deep Blue 20 years    ago. The team certainly faced a challenge in engineering their    AI to adjust to betting differences, imperfect information,    unorthodox play, and that unique aspect of poker that differs    it from most other games,bluffing.  <\/p>\n<p>    Players were given a certain amount of play money and    Libratus would go on to notch a computer's first victory in the    no limit variety of Texas Hold'em (a previous computer     had already mastered Limit Hold'em).  <\/p>\n<p>    Yes, poker is just a game,\" University of Michigan professor    Michael Wellman, who specializes in game theory and closely    follows AI poker, said to Wired magazine. \"But    the game theory exhibited by Libratus could help with    everything from financial trading to political negotiations to    auctions.  <\/p>\n<p>    Some have hailed the entire spectacle as great for the game of    poker and no doubt  there is some nice PR benefit that    comes with it. But from a simple poker-playing perspective and    in regards to its relevance among poker fans, the whole thing    seems a bit too much. As a massive fan of the game of poker,    this whole spectacle lacks the impact of Deep Blues win.  <\/p>\n<p>    To me, this matchup of man versus    droid\/computer\/software\/techno-gizmo lacks the one aspect of    poker that makes it so unique:risk. Its the reason that        playing poker online for free or playing with your    grandmother for matchsticks (or cheerios or whatever) is so    lame;there is no risk of losing ones own money.  <\/p>\n<p>    Chess is a game with merely risk of losing one individual match    itself. The two combatants may have some kind of extrinsic    monetary motivation, such as tournament payouts, appearance    fees, etc., but there is not an inherent expected loss of ones    own personal earnings.  <\/p>\n<p>    In poker, players must square off against each other with their    (usually) hard-earned money and that risk of ones own cash is    a huge part of pokers appeal. Financial risk is inherently    about losing money, and if youre not playing with risk in the    game, youre not really playing poker.  <\/p>\n<p>    If youre afraid to lose your money, you cant play to win,    said Johnny Moss, a Texas poker legend and winner of the    first two WSOP Main Events.  <\/p>\n<p>    That attitude is something inherently flawed in making so much    hoopla about Libratus' accomplishment;a    machine\/software\/robot has no real inherent sense of loss or    risk.  <\/p>\n<p>    And when it comes to the art of the bluff, it seems engineering    a machine to make these kinds of moves misses the key component    of the risk involved in doing this: the pulse-racing feel of    having all your chips in on a pot when you know your hand is    squadoosh as ESPN WSOP analyst Norman Chad likes to    put it. A highly-engineered AI topped four poker sharks with no    real money on the line.  <\/p>\n<p>    As a poker fan, this whole event doesnt even seem like real    poker and just left me asking: So what? Poker is a game that    is extremely dependent on human emotion and temperament.  <\/p>\n<p>      Artificial intelligence has no fears about losing the      mortgage payment in a pot.    <\/p>\n<p>    Artificial intelligence has no fears about losing the mortgage    payment in a pot or being down to that last bit of the poker    bankroll and having to look for a real job to build it back.  <\/p>\n<p>    Another aspect of this matchup with Libratus that is really    missing for me, and I think for many poker fans, is that the    self-reliant, mano-a-mano, battle of minds that takes place at    the poker table. Sure I can concede a machine can get the    better of humans in this type of setup, but pokers appeal for    me is seeing players squaring off against each other and    matching skills.  <\/p>\n<p>    A battle against a computer lacks the panache of seeing    real-life humans battling it out for their own cash. Libratus    may have massive amounts of computing power, but it lacks the    humanity that makes poker great and now watchable on    television.  <\/p>\n<p>    Many poker insiders and those with deep roots in the game may    forget that, to casual fans, seeing thousands of dollars won    and lost on a single game of cards is extremely bizarre yet    extremely appealing. That appeal, along with the games unique    characters and history, is the reason poker has grown into the    international game it is today.  <\/p>\n<p>    Poker is great because the human aspect is so important to    excelling; it is not simply a series of moves on a game board    or your old Commodore 64. Players who master the game can read    other players and keep their own emotions in check.  <\/p>\n<p>    They must master the subtleties and games within the game to    excel. They benefit themselves by timing their actions    correctly based on other players tendencies, outlooks and    general gameplay. Players like Jason Mercier and    Daniel Negreanu have mastered these nuances.  <\/p>\n<p>    Dont read my hand wrong here, I am not a poker pessimist who    thinks the game is moving in the wrong direction. Quite the    contrary: I think the game is moving in the right direction in    general after massive growth in the 2000s.  <\/p>\n<p>      Libratus is not the next Big Blue and these four players were      not Gary Kasparov.    <\/p>\n<p>    Actual growth of the game depends on continuing presentations    of the game in its real context on the felt and focusing    on the players.  <\/p>\n<p>    Some of those include: continued growth of the WSOP and live    ESPN broadcasts; the World Poker Tours continued success and    international growth; great broadcasts like Poker Centrals    Super High Roller Bowl (with great commentary catering    to fans and hard-core players alike); progress (thought slow)    of state-by-state legalized online poker; the growth of the    game by appealing younger players via Twitch; and the success    of middle-tier tours catering to average Joe poker players    (which are still needed to grow the game) like the Heartland    Poker Tour and Mid-States Poker Tour.  <\/p>\n<p>    The AI win seems like a minute footnote in comparison. Libratus    may have won the battle against mankind, but was there ever    really a war? Im not sure this is a battle that means a whole    lot in the big picture of modern poker.  <\/p>\n<p>      Libratus may have won the battle against mankind, but was      there ever really a war?    <\/p>\n<p>    Libratus is not the next Big Blue and these four players were    not Gary Kasparov. It may have been an interesting    technological endeavor, but Im sure these players in the    \"Brains vs. Artificial Intelligence, as the event came to be    known, would much rather bring home a WSOP gold bracelet or WPT    title if they had to pick. That hardware (not software) would    be tangible and real and it would certainly be a nice real-life    check to cash.  <\/p>\n<p>    Sean Chaffin is a freelance writer in Crandall, Texas, and    writes frequently about gambling and poker. If you have any    story ideas, please email him at <a href=\"mailto:seanchaffin@sbcglobal.net\">seanchaffin@sbcglobal.net<\/a> or    follow him @PokerTraditions. His poker book is RAISING THE    STAKES: True Tales of Gambling, Wagering & Poker Faces and    available on amazon.com.  <\/p>\n<p>    The opinions expressed here are those of the authors and    do not necessarily reflect the positions PokerNews  <\/p>\n<p>    Be sure to complete your PokerNews experience by checking out an overview of our mobile and tablet    apps here. Stay on top of the poker world from your phone    with our mobile iOS and Android app, or fire up    our iPad app on your tablet.    You can also update your own chip counts    from poker tournaments around the world with MyStack on both    Android and iOS.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read more: <\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.pokernews.com\/news\/2017\/02\/artificial-intelligence-tops-humans-in-poker-battle-27044.htm\" title=\"Artificial Intelligence Tops Humans in Poker Battle  What's the Big Deal? - PokerNews.com\">Artificial Intelligence Tops Humans in Poker Battle  What's the Big Deal? - PokerNews.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> HomeNewsPokerNews Op-Ed Deep Blue was one hell of a chess player. It was February 1996 and the machine developed by IBM was locked in battle with Gary Kasparov. Chess was big news as the computer system project originally begun in 1985 at Carnegie Mellon University attempted to do something other chess-playing devices had been unable to do beat a reigning world champion.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-tops-humans-in-poker-battle-whats-the-big-deal-pokernews-com.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-205137","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/205137"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=205137"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/205137\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=205137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=205137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=205137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}