Advances in Digital Marketing in the Era of Artificial Intelligence; Case Studies and Data Analysis for Business Problem Solving; 1 by Ltifi Moez English | 2024 | ISBN: 1032585110 | 329 pages | True PDF | 14.75 MB
Translation Studies in the Age of Artificial Intelligence by Sun, Sanjun, Liu, Kanglong, Moratto, Riccardo English | 2025 | ISBN: 1032756306 | 253 pages | True PDF EPUB | 15.72 MB
The study of intelligence emerged from interactions among agents has been popular. In this study it is recognized that a network structure of the agents plays an important role. The current state-of-the art in agent-based modeling tends to be a mass of agents that have a series of states that they can express as a result of the network structure in which they are embedded. Agent interactions of all kinds are usually structured with complex networks. The idea of combining multi-agent systems and complex networks is also particularly rich and fresh to foster the research on the study of very large-scale multi-agent systems. Yet our tools to model, understand, and predict dynamic agent interactions and their behavior on complex networks have lagged far behind. Even recent progress in network modeling has not yet offered us any capability to model dynamic processes among agents who interact at all scales on complex networks.