Difference between revisions of "Artificial General Intelligence (AGI)"
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| − | + | AGI ( Artificial General Intelligence) is a term used to describe Real intelligent systems. Real intelligent systems posses ability to think generally, to take decisions irrespective of any previous training, here decisions are made based on what they’ve learnt on their own. It can be really difficult to design such systems as technology of today is somewhat limited, but we can create so called “ Partial AGI”.<ref>Definition: What does Artificial General Intelligence (AGI) Mean? [https://towardsdatascience.com/what-is-artificial-general-intelligence-5b395e63f88b Towards Data Science]</ref> | |
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| + | AGI is a single intelligence or algorithm that can learn multiple tasks and exhibits positive transfer when doing so, sometimes called meta-learning. During meta-learning, the acquisition of one skill enables the learner to pick up another new skill faster because it applies some of its previous “know-how” to the new task. In other words, one learns how to learn — and can generalize that to acquiring new skills, the way humans do. As it currently exists, AI shows little ability to transfer learning towards new tasks. Typically, it must be trained anew from scratch. For instance, the same neural network that makes recommendations to you for a Netflix show cannot use that learning to suddenly start making meaningful grocery recommendations. Even these single-instance “narrow” AIs can be impressive, such as IBM’s Watson or Google’s self-driving car tech. However, these aren’t nearly so much so an artificial general intelligence, which could conceivably unlock the kind of recursive self-improvement variously referred to as the “intelligence explosion” or “singularity.”<ref>What is Artificial General Intelligence (AGI)? [https://www.extremetech.com/extreme/275768-artificial-general-intelligence-is-here-and-impala-is-its-name Extreme Tech]</ref> | ||
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| + | The Artificial General Intelligence Society is a nonprofit organization with the goals: | ||
| + | *to promote the study of artificial general intelligence (AGI), and the design of AGI systems. | ||
| + | *to facilitate co-operation and communication among those interested in the study and pursuit of AGI | ||
| + | *to hold conferences and meetings for the communication of knowledge concerning AGI | ||
| + | *to produce publications regarding AGI research and development | ||
| + | *to publicize and disseminate by other means knowledge and views concerning AGI<ref>The Artificial General Intelligence Society [http://www.agi-society.org/ agi-society.org]</ref> | ||
Revision as of 09:58, 1 March 2019
AGI ( Artificial General Intelligence) is a term used to describe Real intelligent systems. Real intelligent systems posses ability to think generally, to take decisions irrespective of any previous training, here decisions are made based on what they’ve learnt on their own. It can be really difficult to design such systems as technology of today is somewhat limited, but we can create so called “ Partial AGI”.[1]
AGI is a single intelligence or algorithm that can learn multiple tasks and exhibits positive transfer when doing so, sometimes called meta-learning. During meta-learning, the acquisition of one skill enables the learner to pick up another new skill faster because it applies some of its previous “know-how” to the new task. In other words, one learns how to learn — and can generalize that to acquiring new skills, the way humans do. As it currently exists, AI shows little ability to transfer learning towards new tasks. Typically, it must be trained anew from scratch. For instance, the same neural network that makes recommendations to you for a Netflix show cannot use that learning to suddenly start making meaningful grocery recommendations. Even these single-instance “narrow” AIs can be impressive, such as IBM’s Watson or Google’s self-driving car tech. However, these aren’t nearly so much so an artificial general intelligence, which could conceivably unlock the kind of recursive self-improvement variously referred to as the “intelligence explosion” or “singularity.”[2]
The Artificial General Intelligence Society is a nonprofit organization with the goals:
- to promote the study of artificial general intelligence (AGI), and the design of AGI systems.
- to facilitate co-operation and communication among those interested in the study and pursuit of AGI
- to hold conferences and meetings for the communication of knowledge concerning AGI
- to produce publications regarding AGI research and development
- to publicize and disseminate by other means knowledge and views concerning AGI[3]
- ↑ Definition: What does Artificial General Intelligence (AGI) Mean? Towards Data Science
- ↑ What is Artificial General Intelligence (AGI)? Extreme Tech
- ↑ The Artificial General Intelligence Society agi-society.org