Tripartite Game Evolution and Stabilization Strategies in Artificial Intelligence-Empowered Science & Technology Journals

Abstract

Currently, the cognitive synergy between artificial intelligence and human editors will become an important direction to promote the development of scientific and technical journals. The purpose of this paper is to illustrate the evolutionary game dynamics between multiple stakeholders in the intelligent transformation of the publishing industry, reveal the behavioural rationality and strategic decisions of each participant, and explore the optimal coping strategies under the interaction between AI technology and human resources. In order to deeply study the dynamic interaction between technology and human resources under the framework of co-construction of AI and science and technology journals, we divided the relationship between each 
stakeholder. We established a game relationship model, taking the government and ethical regulators, the editorial boards of scientific and technical journals, and research groups as game participants. Then, we addressed the stabilisation strategy problem and examined the strategic choice dilemmas faced by these three parties. We identified four stabilisation points and studied the evolutionary game through four stages of technology, early stage, development phase, surge phase and maturity phase respectively. Based on the results of the game analysis, the coping strategies of gradient adaptation of technology embedding and business process, capacity cultivation of human capital and organisational development, value reconstruction of academic 
ecology and scientific research culture, precise insight of user needs and cognitive behaviours, and globalisation and regional differences are proposed from the perspectives of governmental and ethical regulators, editorial boards of science and technology journals, and scientific research groups, respectively. The human-machine collaborative editing model, by integrating human creativity and the efficient processing capability of AI, will achieve a double rise in quality and efficiency in the fields of content review, intelligent proofreading, editing and processing, precise pushing, and knowledge dissemination.