Machine Learns Games 241
heptapod writes "New Scientist is reporting that UK researchers have created a computer that can learn rock, paper, scissors by observing humans. CogVis uses visual information to recognize events and objects in addition to learning by observing."
Talk about simple (Score:2, Insightful)
language? (Score:4, Insightful)
a. You go and learn THIS game
b. Learn THAT game and tell me the rules
From the article it can be seen that they are still strugling with 'b'. Still, its a good advance.
Just wondering, can it, learn a human language?
Re:Talk about simple (Score:4, Insightful)
I do think that according to Game Theory, the perfect strategy is perfect randomness. The game is interesting when people play it because people have a huge amount of trouble actually being random.
OOOHHH!!! (Score:2, Insightful)
Meh.
Who am I kidding?
Nothing new. Nothing to see here. Even if it is kinda neat.
Profit! (Score:1, Insightful)
The probability of a fair coin is 0.5, etc. etc. Well, we now have a machine that plays dice to win.
Re:language? (Score:2, Insightful)
Easy game to learn (Score:2, Insightful)
If rock: paper win, scissors lose
If paper: scissors win, rock lose
if scissors: rock win, paper lose
No variable amounts, just straight boolean logic. The next step up might be something like tic-tac-toe... where the machine could start to build some "educated" moves and techniques like blocking, etc.
Really, what is exciting is the spatial recognition. Given the actions, somebody is still telling it what is a win and what is a loss. Without it, learning would be simple enough, given your value and that of the opponent:
Rock: Paper (lose)
Rock: Scissors (win)
Rock: Rock (tie)
Paper: Paper (tie)
Paper: Scissors (lose)
Paper: Rock (win)
Scissors: Paper (win)
Scissors: Scissors (tie)
Scissors: Rock (lose)
No ppl its not that simple.... (Score:5, Insightful)
Advanced AI (Score:2, Insightful)
Yet when AI reaches the point that it becomes almost human-like, problems are going to form. If the programming of an AI system leads itself to thinks it understands that it is sentient, would it mean that the AI is in fact sentient?
After all, intelligence is intelligence. By any means, an electrical intelligence could be regarded equal, because the only difference between us and "them" would be that we use a chemical and electrical method of processing data, whereas atrifical intelligence-based systems would be using purely electronic methods.
Surely, if input (a video stream coming from an optical sensor, such as a human eye or a digital video camera), and auditory input (ears, or microphone-based) which gets processed (human brain, or CPU) and then output (screen, face, voice, speaker, etc) should not be perceived differently. Humans are data processors (data in, data out in the form of a reaction). Advanced Computer AI would be the same (data in, data out).
Would humans really be that special then?
Re:Talk about simple (Score:3, Insightful)
My brothers and I can't even play the game because we'll all throw the same sign for half an hour straight.