Artificial General Intelligence (AGI) is around the corner.
- it is the ability of a machine to perform any task that a human can.
- a machine with the capacity to understand or learn any intellectual task that a human being can.
- In contrast AI is limited to the use of software to study or accomplish specific problem solving or reasoning tasks.
- The most difficult problems for computers are informally known as “AI-complete” or “AI-hard”.
- The difference between an AGI and a regular algorithm is the ability for the AGI to ask itself the important questions.
- An AGI can formulate the end solution that it wishes to arrive at, simulate hypothetical ways of getting there, and then make an informed decision on which simulated reality best matches the goals that were set.
- AGI can think, understand, and act in a way that is indistinguishable from that of a human in any given situation.
- AGI projects attempt to duplicate human intelligence at different levels of abstraction:
- major techniques used in AGI projects include
- logic
- probability theory
- production system
- graph-theory
- knowledge base
- learning algorithm
- neural network
- evolutionary computation
- robotics
- multi-agent system
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