The symbolism, connectionism and behaviorism approaches of artificial
intelligence have achieved a lot of successes in various tasks, while we still
do not have a clear definition of "intelligence" with enough consensus in the
community (although there are over 70 different "versions" of definitions). The
nature of intelligence is still in darkness. In this work we do not take any of
these three traditional approaches, instead we try to identify certain
fundamental aspects of the nature of intelligence, and construct a mathematical
model to represent and potentially reproduce these fundamental aspects. We
first stress the importance of defining the scope of discussion and granularity
of investigation. We carefully compare human and artificial intelligence, and
qualitatively demonstrate an information abstraction process, which we propose
to be the key to connect perception and cognition. We then present the broader
idea of "concept", separate the idea of self model out of the world model, and
construct a new model called world-self model (WSM). We show the mechanisms of
creating and connecting concepts, and the flow of how the WSM receives,
processes and outputs information with respect to an arbitrary type of problem
to solve. We also consider and discuss the potential computer implementation
issues of the proposed theoretical framework, and finally we propose a unified
general framework of intelligence based on WSM.

文章拟探讨智能的本质，并构建一个称之为‘世界 - 自我的模型’的数学模型，以此表征人工智能和人类智能的基本方面，特别地，提出了信息抽象的过程和概念的生成和关联机制等方面的内容，以及相应于任意类型的问题解决的信息输入和输出的流程，同时，还对所提倡的理论框架的计算机实现问题进行讨论。最终，作者提出了一个基于 WSM 的智能统一通用框架。