How to promote GBTs innovation through multi-agent collaboration: An evolutionary game system simulation approach

• Published in: E3S web of conferences Vol. 536; p. 1025
• Main Authors: Ma, Yingying, Wang, Qin, Chen, Yingdie, Ma, Minglu, La, Ruifang, Yao, Wenyan, Shang, Sinan, Cui, Ziyi
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2024
• Subjects: Carbon; Collaboration; Decision making; Emissions; Game theory; Green buildings; Green development; Innovations; Multiagent systems
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/202453601025

Facing the serious pollution and carbon emission problem, China actively develops and applies GBTs (green building technologies) to realize the dual-carbon target, while the innovation of GBTs is deeply influenced by multiple subjects and factors. This study constructs a tripartite evolutionary game model of GACEs-ARIs, analyzes the inner mechanism of the collaborative innovation process of GBTs through simulation. It is found that: (1) GA is the most crucial subject in the process of collaborative innovation, which plays the role of coordinating the decision-making of the rest of subjects; (2) The trust degree and the benefit distribution coefficient are the influencing factors that play an important role in determining the start and continuation of collaborative innovation; (3) To actively promote the collaborative innovation of GBTs, GA should play a good role as an intermediary to ensure that the trust between the two sides is at a high level, and negotiate a reasonable distribution ratio, actively mobilizing the cooperation of CEs and ARIs by incentives and penalties.