Is AlphaZero an example of an AGI?
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From DeepMind's research paper on arxiv.org:
In this paper, we apply a similar but fully generic algorithm, which
we call AlphaZero, to the games of chess and shogi as well as Go,
without any additional domain knowledge except the rules of the game,
demonstrating that a general-purpose reinforcement learning algorithm
can achieve, tabula rasa, superhuman performance across many
challenging domains.
Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?
ai-basics game-ai definitions agi alphago
edited 4 hours ago
DukeZhou♦
3,32521130
asked 6 hours ago
Thomas
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add a comment |
up vote
1
down vote
favorite
From DeepMind's research paper on arxiv.org:
In this paper, we apply a similar but fully generic algorithm, which
we call AlphaZero, to the games of chess and shogi as well as Go,
without any additional domain knowledge except the rules of the game,
demonstrating that a general-purpose reinforcement learning algorithm
can achieve, tabula rasa, superhuman performance across many
challenging domains.
Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?
ai-basics game-ai definitions agi alphago
edited 4 hours ago
DukeZhou♦
3,32521130
asked 6 hours ago
Thomas
1362
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
From DeepMind's research paper on arxiv.org:
In this paper, we apply a similar but fully generic algorithm, which
we call AlphaZero, to the games of chess and shogi as well as Go,
without any additional domain knowledge except the rules of the game,
demonstrating that a general-purpose reinforcement learning algorithm
can achieve, tabula rasa, superhuman performance across many
challenging domains.
Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?
ai-basics game-ai definitions agi alphago
edited 4 hours ago
DukeZhou♦
3,32521130
asked 6 hours ago
Thomas
1362
From DeepMind's research paper on arxiv.org:
In this paper, we apply a similar but fully generic algorithm, which
we call AlphaZero, to the games of chess and shogi as well as Go,
without any additional domain knowledge except the rules of the game,
demonstrating that a general-purpose reinforcement learning algorithm
can achieve, tabula rasa, superhuman performance across many
challenging domains.
Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?
ai-basics game-ai definitions agi alphago
ai-basics game-ai definitions agi alphago
edited 4 hours ago
DukeZhou♦
3,32521130
asked 6 hours ago
Thomas
1362
edited 4 hours ago
DukeZhou♦
3,32521130
asked 6 hours ago
Thomas
1362
edited 4 hours ago
DukeZhou♦
3,32521130
edited 4 hours ago
DukeZhou♦
3,32521130
edited 4 hours ago
DukeZhou♦
3,32521130
3,32521130
asked 6 hours ago
Thomas
1362
asked 6 hours ago
Thomas
1362
asked 6 hours ago
Thomas
1362
1362
add a comment |
add a comment |
1 Answer
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2
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Good question!
- AlphaZero, though impressive in context, is most definitely not a superintelligence or AGI :)
AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android capable of performing all human activities with the same level as humans as an Artificial General Intelligence.
But AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)
AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.
answered 4 hours ago
DukeZhou♦
3,32521130
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
Good question!
- AlphaZero, though impressive in context, is most definitely not a superintelligence or AGI :)
AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android capable of performing all human activities with the same level as humans as an Artificial General Intelligence.
But AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)
AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.
answered 4 hours ago
DukeZhou♦
3,32521130
add a comment |
up vote
2
down vote
Good question!
- AlphaZero, though impressive in context, is most definitely not a superintelligence or AGI :)
AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android capable of performing all human activities with the same level as humans as an Artificial General Intelligence.
But AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)
AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.
answered 4 hours ago
DukeZhou♦
3,32521130
add a comment |
up vote
2
down vote
up vote
2
down vote
Good question!
- AlphaZero, though impressive in context, is most definitely not a superintelligence or AGI :)
AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android capable of performing all human activities with the same level as humans as an Artificial General Intelligence.
But AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)
AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.
answered 4 hours ago
DukeZhou♦
3,32521130
Good question!
- AlphaZero, though impressive in context, is most definitely not a superintelligence or AGI :)
AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android capable of performing all human activities with the same level as humans as an Artificial General Intelligence.
But AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)
AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.
answered 4 hours ago
DukeZhou♦
3,32521130
answered 4 hours ago
DukeZhou♦
3,32521130
answered 4 hours ago
DukeZhou♦
3,32521130
answered 4 hours ago
DukeZhou♦
3,32521130
3,32521130
add a comment |
add a comment |
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