From Information Revolution to Intelligence Revolution: Big Data Science vs. Intelligence Science

被引:0
|
作者
Wang, Yingxu [1 ,2 ]
机构
[1] Univ Calgary, Schulich Sch Engn, Int Inst Cognit Informat & Cognit Comp ICIC, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Schulich Sch Engn, Dept Elect & Comp Engn, Lab Cognit Informat & Cognit Comp, Calgary, AB T2N 1N4, Canada
来源
2014 IEEE 13TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI-CC) | 2014年
关键词
Cognitive informatics; cognitive computing; abstract intelligence; denotational mathematics; cognitive computers; cognitive robots; knowledge processors; inference engines; learning engines; computational intelligence; COGNITIVE INFORMATICS; DEDUCTIVE SEMANTICS; REFERENCE MODEL; CONCEPT ALGEBRA; MATHEMATICS; BRAIN;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The hierarchy of human knowledge is categorized at the levels of data, information, knowledge, and intelligence. For instance, given an AND-gate with 1,000-input pins, it may be described very much differently at various levels of perceptions in the knowledge hierarchy. At the data level on the bottom, it represents a 21,000 state space, known as 'big data' in recent terms, which appears to be a big issue in engineering. However, at the information level, it just represents 1,000 bit information that is equivalent to the numbers of inputs. Further, at the knowledge level, it expresses only two rules that if all inputs are one, the output is one; and if any input is zero, the output is zero. Ultimately, at the intelligence level, it is simply an instance of the logical model of an AND-gate with arbitrary inputs. This problem reveals that human intelligence and wisdom are an extremely efficient and a fast convergent induction mechanism for knowledge and wisdom elicitation and abstraction where data are merely factual materials and arbitrary instances in the almost infinite state space of the real world. Although data and information processing have been relatively well studied, the nature, theories, and suitable mathematics underpinning knowledge and intelligence are yet to be systematically studied in cognitive informatics and cognitive computing. This will leads to a new era of human intelligence revolution following the industrial, computational, and information revolutions. This is also in accordance with the driving force of the hierarchical human needs from low-level material requirements to high-level ones such as knowledge, wisdom, and intelligence. The trend to the emerging intelligent revolution is to meet the ultimate human needs. The basic approach to intelligent revolution is to invent and embody cognitive computers, cognitive robots, and cognitive systems that extend human memory capacity, learning ability, wisdom, and creativity. Via intelligence revolution, an interconnected cognitive intelligent Internet will enable ordinary people to access highly intelligent systems created based on the latest development of human knowledge and wisdom. Highly professional systems may help people to solve typical everyday problems. Towards these objectives, the latest advances in abstract intelligence and intelligence science investigated in cognitive informatics and cognitive computing are well positioned at the center of intelligence revolution. A wide range of applications of cognitive computers have been developing in ICIC [http://www.ucalgary.ca/icic/] such as, inter alia, cognitive computers, cognitive robots, cognitive learning engines, cognitive Internet, cognitive agents, cognitive search engines, cognitive translators, cognitive control systems, cognitive communications systems, and cognitive automobiles.
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页码:3 / 5
页数:3
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