Human-computer super-intelligence
نویسنده
چکیده
The concept of human intelligence includes several types of intellectual activity – rational thinking, emotional thinking, unconscious thinking, intuitive thinking, and automatic control of the biological systems. Rational thinking refers to the cognition of the phenomena and laws of the animate and the inanimate nature. It is realized through the processing of mostly visual images and is therefore limited to the low-factor (not more than three-factor) laws of nature. Here belong, for instance, the laws of physics cognized by the mankind. All other types of human thinking are multiple-factor. The concept of artificial intelligence refers to computer simulation of the human low-factor rational thinking. This is why artificial intelligence cannot serve as the basis for ‘computer super-intelligence’. Contrary to computer super-intelligence, the ‘human-computer super-intelligence’ can solve these tasks. Human-computer super-intelligence will allow developing super-knowledge on significant multiple-factor processes – medical-biological, scientific and technical, financial and economic, organizational, etc.
منابع مشابه
Realisation of Human Super-Intelligence (Developmental Learning)
It is demonstrated that technical advancement results in the development of more and more intellectual human-computer systems which can make the most efficient use of human intellectual resources. This is why the objective of education must be the development of human intellectual resources which will become more and more in demand. The results of 60-year-long scientific efforts aimed at the de...
متن کاملHuman Super Intelligence
The manuscript will be interesting for scientists in any field, as it explains how human super intelligence can be implemented in the near future and enable people to successfully solve multi-factor tasks currently impossible for human intelligence. Indeed, all dependencies discovered in all sciences so far, with a rare exception (e.g., the third Kepler’s law with Newton’s correction), are desc...
متن کاملA Deep Model for Super-resolution Enhancement from a Single Image
This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...
متن کاملLinking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data
Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its relationship with structural and functional features of the brain. In recent years, the invention of sophisticated brain imaging devices using Diffu...
متن کاملGraph Hybrid Summarization
One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...
متن کامل