Now there is AlphaGo by Deep Mind, a company recently bought by Google playing currently a match against 9p Lee Sedol. It is the Deep Blue of Go.
EDIT: The final result of the match of five games was AlphaGo 4 – Lee Sedol 1. This confirms the former conjecture: AlphaGo is the Deep Blue of Go.
I've played literally hundreds of AI's... the strongest opponent cribbage games are all cheating.
The core Issues
Cribbage is focused upon 3 key priorities:
maximize points in hand
maximize points in play
minimize risk of giving points in the crib.
These boil down to two key skills:
Playing is governed by a fairly easily coded set of ...
I would argue that AlphaGo's advantage cannot be significantly attributed to the novelty of its moves.
The original public AlphaGo games were those against Lee Sedol, the second ranked player in the world, in March 2016. At that time, as mentioned, several of AlphaGo's moves were novel, and surprising to Lee Sedol and observers.
Then, after players had had ...
Here's the AlphaGo team's paper that has all of the details (behind a paywall): http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html
I gave a couple of tech talks about this recently.
This one is about how AlphaGo works and the match with Fan Hui 2p: https://www.youtube.com/watch?v=HTDxpxmFRGo
I gave another talk last year about why it's ...
Yes, with Nim being the best-known example
You ask for a strongly solved game (presumably referring to the term in combinatorial game theory). According to Wikipedia, games that are strongly solved
Provide an algorithm that can produce perfect moves from any position, even if mistakes have already been made on one or both sides.
It goes on to note that in ...
Disclaimer: I have some programming background but haven't ever actually tried to make a Risk AI, so this isn't 100% definitive.
Although making a "perfect" Risk AI might be, it seems like it wouldn't in theory. At the end of the day, Risk is a resource management game, and that's something a computer can do.
For starters, the combat mechanism is fairly ...
I've read a couple of articles discussing the impact of AI on professional Go, the second one being a reply to the first one:
Impact of Go AI on the professional Go world
Impact of Go AI on the professional Go world, Response
Some quotes from the first article:
The second important change I see is the professional players’ race to
learn from AI. (...) it’...
The DeepMind channel on Youtube has a short review of each game by Michael Redmond 9P.
At the end of the summary for game 1, Michael estimates that black is slightly ahead on the board. When you factor in the 7.5 point komi, it means that the final score would have been around 5.5 in favor of AlphaGo.
AlphaGo does not attempt to maximize its ...
I wrote the AI engine for BTO Cribbage, a mobile Cribbage app. I played Cribbage growing up and decided to write my own app after playing the other apps. I have played 10+ other apps and most of them stink and/or cheat, like described by @aramis's answer. Being on both sides (a loyal player and an APP creator), I have a different perspective and found the ...
There's a fundamental problem that the rules of bridge are not well-defined for computers. Specifically, the rules require that partnerships communicate their agreements - including implicit agreements arising from experience playing with their partner - to their opponents. No one has really figured out what it means for a computer to communicate its ...
Yes and no. Every AI will have strategies that it uses, and some will be better than others. The combination of that and how many turns deep you're willing to execute your AI to decide on a move, and how thorough those turns are (do you roll the dice 5 times and branch each time? Or do you use every possible die roll and branch all 40 something times? etc...)...
A non-Nim example is one usually presented as a puzzle, such as this Puzzling.SE question. The rules of the game are:
Given a symmetrical (normally circular or square) table, two players take turns putting coins on the table such that no two coins overlap. The player who is first unable to place a coin loses.
There are an infinite number of board ...
There is a difference between the two semi-stable double ko positions, although a rather small one. C14 reduces the immediate number of liberties of the G13 leg. This means that black will have a free tempo when G13 runs out of liberties, if we assume that black can find a big enough ko threat to answer the C13 capture with C14 in order to force the B15 gote....
I made an AI agent playing Quoridor. You can play against it right on the browser here: https://gorisanson.github.io/quoridor-ai/. As you can read on the "about" section on the page, I imitated the demonstration model of Daniel Borowski's Quoridor AI (https://danielborowski.github.io/site/quoridor-ai/display.html).
Martijn van Steenbergen's Quoridor program ...
Obviously, AlphaGo is the top AI now. Besides it, a simple way to find information about Computer Go Ranking would be to search for :
Computer go tournament
Here is a list of Go AI from wikipedia
There's a special website called Computer GO that registers past and future tournaments.
There's also a website for KGS Computer Tournaments
According to the ...
You can download the game record (.sgf) file from this link and use an score estimator as in the KGS Goban (free), which will give you W+2.5 (including komi) and by looking at the screen we can see that AlphaGo could easily got additional points, so perhaps 5.5 as in the previous answer is the best estimate.
Building a Poker Playing Agent based on Game Logs using Supervised Learning
I found this paper on creating a Hold'em AI that refers to two external log files on page 100 of that paper. One no longer exists. The other, from hhsmithy, costs a couple bucks. They offer logs from various sources, including Poker Stars, Full Tilt Poker and Party Poker.
They also ...
No, there is not currently any difficulty settings for the AI.
I cannot find an official source stating this to quote/link as reference, but you can read through the official FAQ and see some mentions of playing against the AI, with no mention of a difficulty setting.
As this is a pretty new implementation of the game, it is constantly in development with ...
W1 should be N11, then black dies, I'd claim from memory.
W1 at R13 is probably not a complete disaster in itself, but O12 should then be O11, or maybe P10 should be O10. That would force black to capture and white would at least build some influence -- not thickness, as she can't protect all cuts.
Even before that, white should probably descend at T13 and ...
AlphaGo relies heavily on Monte-Carlo Tree Search (MCTS), which is a form of decision making that utilizes random choices as an analog for creativity. Specifically, it allows the algorithm to "think" beyond the bounds of it's rational evaluation procedures. (The random choices are subsequently analyzed and weighted in order to determine which random ...
State of the art AIs are beating humans, but require more processing power is available on your phone. Here are some good background stories regarding the state of the art:
Chess AIs do really well even with modest ...
The accepted answer in your linked question is still valid: ELF (the Facebook go bot, account name "ELF") or variants of LeelaZero play on the Kiseido Go Server (usually bots have "LeelaZero" or "LZ" in their names). You can find a list of these bots in the room "Computer Go" (Menu "Rooms" > Room List > Social > Computer Go)
The Computer Go Server1 is currently a very active test bed for bots. The Computer Go page at Sensei’s Library refers, under Competitions, to various competitions including the Computer Go Server, with its own page at Sensei’s Library, which gives the URL1. On that site, you will find daily updated tables of bots for 9×9, 13×13 and 19×19, These refer to the ...
This generalization of Tic-Tac-Toe is called m,n,k-game. (the goal is to get k in a row on a (m,n) board).
Some known bounds: (source wikipedia)
(5,5,4) is a draw.
(6,6,5) is a draw.
(7,7,5) and (8,8,5) are draws.
(15,15,5) is a win.
(9,6,6) and (7,7,6) are both draws via pairings.
When the goal is 9 or larger (k>=9) the second player can force a ...
AlphaGo plays moves that are "novel," and that is the key to, but not the reason for its success.
The reason that the moves are considered "novel," is that they have been examined and rejected by human players. So then the question is, does Alpha Go's follow up movies (and variations) prove that the moves are sound or not? The almost invariable answer is ...
Some of the strongest programs, like CrazyStone and Zen, have now reached the top 100 on KGS, their current KGS ranking is available on this page.
Sensei's library has a page dedicated to KGS bot rating, including highest rank, historical rating and current rating.
As of March 2016, CrazyStone and Zen19X are KGS 7d, Hira is KGS 5d. According to his author, ...