Chess Championship: Humans vs. Computer
An anonymous reader writes "X-bit labs has posted very interesting editorial called "Chess Championship: Humans vs. Computer".
During the last 10 years computers penetrated into various spheres of human life. In this article guys try to find out how well computers can
play chess and if it would be correct to say that artificial intelligence is superior to human mind. Interesting read."
at least Chessmaster can't post on ./ how it beat me 5 times in a row.
I don't know if chess playing really qualifies as AI. The game gets broken down numerically such that the computer's job is just to crunch through the myriad possible moves and select the best one. All the intelligence goes into the algorithm that rates various positions, and the calculation scheme by which possibilities are evaluated, which are the human inputs. It just sounds like too narrowly focused a task to be considered AI.
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The game of Chess is not a measure of intelligence. It's a measure of mathematics and memory. A computer is no smarter if it's able to play chess than one that isn't.
The reason for this is that Chess is a game where the rules are strictly defined. For each move, there can only be a limited - and known - number of outcomes. This reduces the entire game to a matter of mathematics and statistics.
No, the real test of intelligence would be for a computer to react to and handle a situation where the rules are NOT predefined - such as a real world scenario.
When a computer is able to take a limited number of inputs and make a judgement based on the (possibly) inaccurate and (definitely) insufficient data available, you can start talking about intelligence. Still, even then you're not talking about true intelligence. AND, for that matter, such programs do exist - they're called expert systems.
No, what I'm prepared to call intelligence is a program that not only is able to make a judgement based on possibly bad data, but is also prepared to admit that it made a mistake and learn from those mistakes. That would, in my opinion, be a truly intelligent program.
After all, assuming it's able to do that, it'd certainly be a lot more intelligent than a lot of humans I know. =)
The First "Cyborg Championship"?
Meanwhile, Garry Kasparov has arranged for an exhibition match with 23 year old GM Veselin Topalov of Bulgaria for June in which both players will have an (identical) laptop computer that they may consult during the games. The laptops will have databases preloaded by each player (therefore containing their own analysis and selections), as well as a tactical engine. Each game of the 6 game match will last only one hour, meaning that a large part of the strategy will be how much time spend on the computer! A number of analysts are calling this the "First 21st Century World championship" although of course it's only an exhibition. (http://www.uschess.org/clife/issue47/buzz.html)
It's from 1997, but I think they're right. The future does seem to be moving in that direction.
I recall reading an interview with former world chapion karpov who said that when he was learning chess, his teacher said that one day it would all be computers. One of the other students said, "So why are we bothering to do this then?" and the coach replied, "My computer will beat your computer." or something like that. Pretty soon it'll all be down to which computer is better and which person can better control it. I'm sorry I can't better quote the interview. It was in the ChessLife about the Karpov v. Kasparov x3d match in Times Square in case anyone has it.
It's been said before, but before we talk about computers becoming superior to the human mind, how about creating an AI that's *equal* to the human mind?
In other words, there's no point in talking about the future where computers rule supreme etc. if we still have no way for a computer to recognize, say, a table from a picture of a table if it does not comply with a series of previously-specified standards. I know it's a horrible analogy but jeez, it's 3:18 AM.
...Which reminds me. Why am I still up? *sighs* Damn you, caffeine.
"The power of accurate observation is frequently called cynicism by those who don't have it." - G.B. Shaw
Of course, you (and they) could be right about it. But it's interesting to note that chess is another prime example of this. Computers became extremely good at number crunching and large-scale analysis, and people shrugged it off. "A computer would never be able to compete with competent chess player, and could certainly never compete with a Grandmaster. Chess requires true human intelligence." 20 years later, a computer tied with the reigning Chess Champion. Now - Chess doesn't really require true intelligence, it all boils down to number crunching.
The problem is, where do we draw the line? As computers start adding more and more to their lists of abilities, especially in areas such as pattern recognition and expert systems, are we going to claim that those things don't require intelligence, and can also all be brought down to number crunching? To me, it seems like a form of denial. Instead of clinging to the old ways, why not recognize that computers might just be better at a lot of things that we previously thought were "human-only" areas of skill, and adapt accordingly.We hang the petty thieves, but appoint the great ones to public office. - Aesop
...if it would be correct to say that artificial intelligence is superior to human mind. Seeing as how it was our mind that created AI, somehow I just don't think so.
You show me AI that takes it upon itself to create it's own AI that outperforms itself, then I'll concede. That's the mark of intelligence: having the capacity to create something more capable than yourself, and not only make it, but think it up.
--
Power to the Peaceful
I hate it when people compare AI and human chess players and say the following three things:
a) The computer cheats because it can evaluate more moves
b) The computer cheats because it has "traps" and "100% win situations" programmed in
c) The computer cheats because it has access to previous human games and can "guess" a player's strategy
This might be true, but most grandmaster chess players have played thousands upon thousands of hours of chess. They can immediately rule out half the moves on the board as "stupid" or "unhelpful", and they themselves come with the special knowledge of having seen many, many board situations and having worked out their solutions.
Chess is an interesting game because it is on the scale of infiniately complex.
Computers also have a serious disadvantage: the players they play against are not computers, and therefore do not evaluate moves with the same algorithms. For instance, when Deep X makes his check he says, "I'm going to do this... and then... Kasparov might do that... and I might do this... and Kasparov might do that..." - all the while substituting in what he believes are probable moves for Kasparov based on his own algorithm. This may be disadvantageous because Kasparov may analyze a situation from a different perspective - and while this is a factor in EVERY chess game (human vs. computer or human vs. human) - it is important to note that the computer does not have the priviledge of analyzing the situation from these distinctly human perspectives.
Chess playing software is an example of an expert system, not a true AI system.
This article gives an introduction to the problems involved in getting computers to play Go:
http://www.ishipress.com/times-go.htm
The interactive way to Go -- http://www.playgo.to/iwtg/en/
I'm much more intrigued by developments in artificial creativity - poems, musical compositions, jokes, stories; where the rules governing the construction of these works are much more elusive. When a computer-generated novel wins the Booker Prize we'll have passed a signficant threshold.
Or to come back to the chess comparison - if a computer programme which adopted a human approach to chess playing, eg calculating no more than three or four moves ahead rather than nine or ten, evaluating a dozen potential decision branches rather than thousands, beat a human grand master - that would be a more significant advance in AI.
It would be like building a human-shaped robot which was able to out-run (not just outpace) a person, rather building a mechanical device which gets there by adopting an entirely different paradigm: wheels, not legs; brute force chess move evaluation, not (largely) intuitive leaps.
a world in progress...
Just think of the world's first conscious, intelligent computer claiming that we can't possibly be conscious because we're merely the products of neurons firing.
Baloney. A man is allowed to memorize as many openings as he wants, just as the computer has "memorized" them.
Again, so? Humans are allowed to memorize as much endgame stuff as they want. Why should computers be disallowed this?
Awwww... Why the hell not? Human brains aren't single processor; why should computer opponents have to be?
The same fallacy, repeated over and over again. The human doesn't have none, he has as many as he cares to remember.
And if I were on the computer team, I'd let you. Knock yourself out! Go ahead and fiddle with your chessboard when you could be considering countless more positions in your head.
So, the humans are cheaters then, because they capitalized on computer blunders?
I object to that article, and to the next reply.
Godel's theorem says nothing about the ability to understand Godel's theorem. It simply states that in any formal system (FS) sufficiently powerful to support Peano Arithmetic, there are theorems about FS which can be expressed in FS, but cannot be shown to be true or false (are undecidable) within the rules of FS. I.e. unanswerable questions may be asked of any sufficiently interesting system.
Quite what bearing this has on the ability to "understand" such a system is beyond me. Prove God exists. Prove God does not exist. Can't do either? Oh well, you're obviously not intelligent then.
In my admittedly ignorant view, intelligence largely boils down to three closely related things:
1. Noise filtration.
Humans and animals - even simple ones - can prioritize what sensory input to process. This is how we pick objects out of the background visually, sonically, and - in humans - abstractly from conceptual landscapes.
2. Pattern recognition.
Correctly identifying patterns within chaotic data streams are where biological computers (brains) excel, thanks probably to massively parallel processing and phenomenally well designed algorithms courtesy of natural selection. Listening to one person's voice in a crowd requires both (a) ignoring all other sound, and (b)correctly identifying and processing the relevant data coming in, including information about context. Current Voice Recognition technology, for example, is poor despite massive number crunching because algorithms for noise filtering and pattern recognition are crude. Note also that pattern recognition is 4-dimensional: we recognize things in motion, not just standing still (read "behavior").
3. Information inference.
Current software doens't allow computers to handle a lack of data very well. If information is missing, brains fill in the gaps and make inferences efficiently and effectively. Sometimes this goes wrong, as when you mistakenly think you see something out of the corner of your eye. But mostly we get this right, hence the brain's accurate and effortless construction of motion from still frames flashed 24 times per second on a movie screen.
A simple test of these qualifiers is anticipation. When software can filter noise, recognize patterns, and infer information well enough to demonstrate the faculty of anticipation, then we will be making steps towards genuine AI.
A-Bomb
Consider Searle's Chinese Room problem. You feed someone (written) Chinese under the door, and they have an extremely complete book of rules for "translating" one set of Chinese characters into another. The person then feeds a written "reply" in Chinese back under the door. Do the people in the room know Chinese? To the people outside, it appears that they do. What if the person memorizes all of the rules. Can that person now be considered to "know" Chinese?
You can't just blanketly designated computer chess-playing as unintelligent, because we don't really have effective ways of designating whether something is "intelligent" or "human-like" other than gut-feeling or statistical analysis of "performance" (i.e. outward appearence). Turing had the right idea when he gave his version of the Test, in that the true test for intelligence is just the appearence of it.
Such irE
Kasparov takes the NYT log postings into account in his recent post. He cites Elo (chess rating) numbers by Ken Thompson (an old school computer chess guy) derived by extrapolating numbers generated by setting a computer program against itself with differing search depths, "world championship"[1] level performance would require 1 billion nodes (moves) per second. Interestingly, "one billion nodes/sec on a single chip" is possible with todays 0.13 micron process, while "a trillion nodes/sec machine is actually possible today" according to one of Feng-Hsiung Hsu (Deep Blue hardware designer).[2]
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[1]Kasparov notes also that the chess performance ranking numbers that Ken Thompson derived were asymptotic(?); "which flattens at the top end" . From Garry Kasparov on Chess Computers (22.01.2003) [ONLINE][http://www.worldchessrating.com/52162987
[2](Note: The "one of Deep Blue's two programmers." citation is incorrect... the followup post clarifies the error.)
Chess programs have always been limited by the fact they try to find the most logical move; that leads to the most logical sequence for the current board position.
;)
They are hardly cheaters.
True they capitalize on mistakes, but if you play Fritz, or Chessmaster on the most diffuclt setting, even a relative novice can make it to move 20. The computer will try to read your opening and play "book" against it.
Whereas if you were to play Kasparov as a relative
novice, I would wager the game would be over, or at the very least you would be in a position that could not be won, by move 15 or so.
If a human sees you make a move that isn't the best possible move, they can switch their whole strategy to be more aggressive. Computers play the board not the person.
So far programs treat Kasparov and a relative novice the same. Knowing no difference aside from how the game develops.
A perfect thing can only make the perfect choice.
Luckily we aren't limited by such trivialites
That's the thing, eventually the computer will be able to go through every combination, and be the best Go player in the world.
This is not true - Go has too much depth to be effectively searched beyond just a few moves. The first 14 moves of Go have more than 200^14 possibilities. Go games take many many more moves than that to complete.
The second problem is that an effective searching algorithm is only the first step. The really hard part is trying to come up with an analysis function based on pattern matching. There are no weights for different pieces, some more important than others. Each stone is worth the same. It's the arrangement of stones which counts - something really hard to describe as a heuristic.
Read the grandparent's linked article - it explains all this a lot better than I can...
--- Hot Shot City is particularly good.