The four cycles of AI

The four cycles of AI

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Computers were originally developed for executing complex calculations fast and effectively. The intelligence of computer was based on arithmetic capabilities. This has been the mainstream in the development of computers until now. In the middle of 1950s a new application area, Artificial Intelligence (AI), was introduced by researchers. They had i...

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... to the wave-based approach is that every wave as an emergent technology has slowly growing embryonic phase in the beginning, phase of the fast growth until reaching the peak (highest importance) and turning slowly to the decline phase, which runs it to be a "part of normal" without meaningful innovative power. Typically, it is the beginning a new wave based on the new technology replacing the old one and taking its role as an emergent technology; this leads to the sequence of waves as in Figure 2. This aspect of technology analysis is handled in several papers of the authors, see e.g. ...
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... Figure 2 we have included Hypertext (Hypermedia) and WWW as technologies closely related to AI. These have high importance to the basement of the current computing and information / knowledge management in the form of linked content structures; in a way this represents built-in structural intelligence in documents and document structures. ...
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... current wave of AI is based on the effective use of learning algorithms. In Figure 2 we have listed some concepts related to this: Neural Networks, Self-Organizing Maps, Deep Learning. Neural network 15 builds a model that resembles the structure processing of a human brain. ...
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... aspect is the quality of the data. Figure 2 describes the cycles as a sequence. The idea is to have a look to the importance of each AI cycle in the time it was born and its role as an emergent technology -its innovation power. ...