Abstract
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.
Highlights
With the breakthrough and continuous development of new-generation information technologies such as the Internet of Things, cloud computing, big data, artificial intelligence (AI) and so on, the future society is becoming an open, ecological, large-scale, self-organized, intelligent and interconnected system called the “crowd cyber” (Chai et al, 2017; Qiu et al, 2018)
Crowd intelligence is some stage between mob and collective intelligence, and collective intelligence should be a retrograde form of crowd intelligence but refinement form
We propose a measurement framework for crowd intelligence based on the crowd cyber
Summary
With the breakthrough and continuous development of new-generation information technologies such as the Internet of Things, cloud computing, big data, artificial intelligence (AI) and so on, the future society is becoming an open, ecological, large-scale, self-organized, intelligent and interconnected system called the “crowd cyber” (Chai et al, 2017; Qiu et al, 2018). As the interactions among these components conform to different laws of motion, the behavioral outcomes of the crowd cyber exhibit the following characteristics: unity of stability and variability, unity of order and disorder, unity of determinism and randomness, unity of heterogeneous organization and self-organization, unity of knowable and unknowable and unity of controllable and uncontrollable, etc. These changes will have a disruptive effect on the future structure and form of industry, leading to the individualization of products, the decentralization of production, the miniaturization of government and the publicization of the means of production.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
