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It has been suggested that this article be merged with AI-complete. It is a primary goal of some artificial intelligence research and a common...

It has been suggested that this article be merged with AI-complete. It is a primary goal of some artificial intelligence research and a common topic in science fiction and future studies. Artificial general intelligence is also referred to as “strong AI”, “full AI” or as the ability of a machine to artificial general intelligence pdf “general intelligent action”.

Academic sources reserve “strong AI” to refer to machines capable of experiencing consciousness. Weak AI, in contrast to strong AI, does not attempt to perform the full range of human cognitive abilities. This would include an ability to detect and respond to hazard.

A machine and a human both converse sight unseen with a second human, who must evaluate which of the two is the machine, which passes the test if it can fool the evaluator a significant fraction of the time. A machine is required to enter an average American home and figure out how to make coffee: find the coffee machine, find the coffee, add water, find a mug, and brew the coffee by pushing the proper buttons.

A machine enrolls in a university, taking and passing the same classes that humans would, and obtaining a degree. A machine works an economically important job, performing at least as well as humans in the same job. A machine is required to unpack and assemble an item of flat-packed furniture. It has to read the instructions and assemble the item as described, correctly installing all fixtures.

The most difficult problems for computers are informally known as “AI-complete” or “AI-hard”, implying that solving them is equivalent to the general aptitude of human intelligence, or strong AI, beyond the capabilities of a purpose-specific algorithm. AI-complete problems are hypothesised to include general computer vision, natural language understanding, and dealing with unexpected circumstances while solving any real world problem. AI-complete problems cannot be solved with current computer technology alone, and also require human computation. This property can be useful to test for the presence of humans, as with CAPTCHAs, and for computer security to repel brute-force attacks.

Modern AI research began in the mid 1950s. The first generation of AI researchers was convinced that artificial general intelligence was possible and that it would exist in just a few decades.

As AI pioneer Herbert A. Simon wrote in 1965: “machines will be capable, within twenty years, of doing any work a man can do. Their predictions were the inspiration for Stanley Kubrick and Arthur C. Clarke’s character HAL 9000, who accurately embodied what AI researchers believed they could create by the year 2001.