A measurement framework of crowd intelligence
| Autor: | Leiju Qiu, Baowen Sun, Yiqiang Feng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Harmony (color)
Computer science Human intelligence media_common.quotation_subject 05 social sciences Evolution of human intelligence 020207 software engineering 02 engineering and technology Data science Test (assessment) Originality 0502 economics and business 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Citizen science Business Management and Accounting (miscellaneous) sort Decision Sciences (miscellaneous) Set (psychology) 050203 business & management media_common |
| Zdroj: | International Journal of Crowd Science. 5:81-91 |
| ISSN: | 2398-7294 |
| DOI: | 10.1108/ijcs-09-2020-0015 |
| Popis: | Purpose The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the level of intelligence is not sufficient, due to many limitations, such as the unclear definition of intelligence and the inconformity of human intelligence quotient (IQ) test and artificial intelligence assessment methods. This paper aims to propose a new crowd intelligence measurement framework from the harmony of adaption and practice to measure intelligence in crowd network. Design/methodology/approach The authors draw on the ideas of traditional Confucianism, which sees intelligence from the dimensions of IQ and effectiveness. First, they clarify the related concepts of intelligence and give a new definition of crowd intelligence in the form of a set. Second, they propose four stages of the evolution of intelligence from low to high, and sort out the dilemma of intelligence measurement at the present stage. Third, they propose a framework for measuring crowd intelligence based on two dimensions. Findings The generalized IQ operator model is optimized, and a new IQ algorithm is proposed. Individuals with different IQs can have different relationships, such as cooperative, competitive, antagonistic and so on. The authors point out four representative forms of intelligence as well as its evolution stages. Research limitations/implications The authors, will use more rigorous mathematical symbols to represent the logical relationships between different individuals, and consider applying the measurement framework to a real-life situation to enrich the research on crowd intelligence in the further study. Originality/value Intelligence measurement is one of foundations of crowd science. This research lays the foundation for studying the interaction among human, machine and things from the perspective of crowd intelligence, which owns significant scientific value. |
| Databáze: | OpenAIRE |
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