Foundations of Intelligence Science

• 作者: Zhongzhi Shi
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 医学
• 关键词: INTELLIGENCE INTELLIGENCE SCIENCE MACHINE INTELLIGENCE
• 年，卷（期）: 2011,（1）
• 页码范围: 8-16
• 页数: 9页
• 分类号: R73

摘要

In order to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. More specifically, the natural intelligence and artificial intelligence should be closely interacted in Intelligence Science study, instead of separate from each other. In order to reach the paradigm, brain science, cognitive science, artificial intelligence and others should cross-research together. Brain science explores the essence of brain, research on the principle and model of natural intelligence in molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. Artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. All together pursue to explore the mechanism and principle of intelligence which is the engine of advanced science and technology. The paper will give the definition of intelligence and discuss ten big issues of Intelligence Science. The conclusion and perspective will be given in last section.