A World-Self Model Towards Understanding Intelligence
- URL: http://arxiv.org/abs/2203.13762v1
- Date: Fri, 25 Mar 2022 16:42:23 GMT
- Title: A World-Self Model Towards Understanding Intelligence
- Authors: Yutao Yue
- Abstract summary: We will compare human and artificial intelligence, and propose that a certain aspect of human intelligence is the key to connect perception and cognition.
We will present the broader idea of "concept", the principles and mathematical frameworks of the new model World-Self Model (WSM) of intelligence, and finally an unified general framework of intelligence based on WSM.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Artificial intelligence has achieved tremendous successes in various tasks,
while it is still out of question that there are big gaps between artificial
and human intelligence, and the nature of intelligence is still in darkness. In
this work we will first stress the importance of scope of discussion and
granularity of investigation for this type of research. We will carefully
compare human and artificial intelligence, and propose that a certain aspect
(Aspect 3) of human intelligence is the key to connect perception and
cognition, and the lack of a new model is preventing the understanding and
next-level implementation of intelligence. We will present the broader idea of
"concept", the principles and mathematical frameworks of the new model
World-Self Model (WSM) of intelligence, and finally an unified general
framework of intelligence based on WSM. Rather than focusing on solving a
specific problem or discussing a certain kind of intelligence, our work is
instead towards a better understanding of the nature of the general phenomenon
of intelligence, independent of the kind of task or system of investigation.
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