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The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.

The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.

The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.

The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.

The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.

The article of course mentons Deep Blue and chess:

Probably the most famous example of a machine which taught itself, IBM's Deep Blue, which taught itself to play chess better than the human world chess champion, Garry Kasparov.

I find chess programs, and indeed the problem of chess, relatively unimpressive. Chess is a game of at least almost perfect information, and almost pure deductive logic.

[I'm not sure I agree with those who say chess is a game of perfect information and pure deductive logic. I believe imperfect, probablisitc information, and induction may come into play under certain circumstances. You offer a sacrafice to set a trap. Will your opponent see the trap? Will he take the sacrafice? If he does, great. If he doesn't, perhaps you have wasted a move, and allowed him to seize the initiative. There is an element of induction and probability in making your decision.]

Let's face it, pretty soon the World Chess Champion will be a human only because computers are excluded from play. Hell, pretty soon your laptop will consistently beat the (human) World Chess Champion while you watch (the DeCSSed version, shh, don't tell anyone) of Matrix V and recompile Linux Kernel version 4.4 at the same time.

Poker, thank God, is different. As explained by The University of Alberta Computer Poker Research Group:

Poker is an excellent domain for artificial intelligence research. It offers many new challenges since it is a game of imperfect information, where decisions must be made under conditions of uncertainty. Multiple competing agents must deal with probabilistic knowledge, risk management, deception, and opponent modeling, among other things.

The University of Alberta Computer Poker Research Group has implemented a poker playing program named Poki . Poki is implemented in Java, and some of the source code has been released. To facilitate other research into poker, they have also provided a Texas Hold'em communication protocol, which allows new computer programs and humans to play against each other online.

See also:

Wilson Software, makers of the best commercial poker software. There are free Windows (sorry) demo programs for: Texas Hold'Em, 7-Card Stud, Stud 8/or better, Omaha Hi-Low, Omaha High, and Tournament Texas Hold'em

rec.gambling.poker [Usenet]

IRC Poker Server

Greg Reynold's Gpkr GUI

World Series of Poker

Great Poker Forums

Card Player Magazine

Poker Digest

Gambler's Book Shop

And now, if you will, may we please have a moment of silence for Stu Ungar.