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Self-management is the process by which computer systems manage their own operation without human intervention. Self-management technologies are expected to pervade the next generation of network management systems. [citation needed] The growing complexity of modern networked computer systems is a limiting factor in their expansion.
The development of recursive self-improvement raises significant ethical and safety concerns, as such systems may evolve in unforeseen ways and could potentially surpass human control or understanding. There has been a number of proponents that have pushed to pause or slow down AI development for the potential risks of runaway AI systems. [3] [4]
Where CAI used a behaviourist perspective on learning based on Skinner's theories (Dede & Swigger, 1988), [10] ITS drew from work in cognitive psychology, computer science, and especially artificial intelligence. [10] There was a shift in AI research at this time as systems moved from the logic focus of the previous decade to knowledge based ...
Automation may support basic travel bookings, but observers say it has yet to prove itself when it comes to fixing some problems.
Recursive self improvement (aka seed AI) – speculative ability of strong artificial intelligence to reprogram itself to make itself even more intelligent. The more intelligent it got, the more capable it would be of further improving itself, in successively more rapid iterations, potentially resulting in an intelligence explosion leading to ...
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [1] [2]