Empirically grounded agent-based models of innovation diffusion: a critical review

• Published in: The Artificial intelligence review Vol. 52; no. 1; pp. 707 - 741
• Main Authors: Zhang, Haifeng, Vorobeychik, Yevgeniy
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2019; Springer; Springer Nature B.V
• Subjects: Agent-based models; Artificial Intelligence; Calibration; Computer Science; Food irradiation; Growth models; Heterogeneity; Innovations; Marketing; Mathematical models; Maximum likelihood estimation; Price elasticity; Social networks; Sociology; Trends; Validation; Literature review; Agent-based modeling; Innovation diffusion; Calibration; Empirical method

Innovation diffusion has been studied extensively in a variety of disciplines, including sociology, economics, marketing, ecology, and computer science. Traditional literature on innovation diffusion has been dominated by models of aggregate behavior and trends. However, the agent-based modeling (AB...