02664nam 2200409 450 991073435100332120230816205656.010.3390/books978-3-0365-7921-4(CKB)5470000002907799(NjHacI)995470000002907799(EXLCZ)99547000000290779920230816d2023 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSwarms and Network Intelligence /edited by Yaniv Altshuler, Francisco Camara Pereira and Eli DavidBasel, Switzerland :MDPI - Multidisciplinary Digital Publishing Institute,[2023]©20231 online resource (234 pages)3-0365-7921-4 This reprint covers a wide range of topics related to collective intelligence, exploring the interplay between swarm intelligence, network intelligence, and other emerging technologies. The first set of chapters focuses on the behavior and mechanisms of swarming. One chapter describes a locust-inspired model of collective marching on rings, while another demonstrates the experimental validation of entropy-driven swarm exploration under sparsity constraints using sparse Bayesian learning. These studies provide new insights into the principles of swarming and its potential applications in fields such as robotics and mobile crowdsensing. The next set of chapters discusses the integration of swarm intelligence with other emerging technologies such as deep learning and graph theory. These studies show how swarm intelligence can be combined with other advanced technologies to solve complex problems and improve decision-making processes. The reprint also covers the topic of network intelligence, including the study of social network analysis, Twitter user activity, and crowd-sourced financial predictions. These studies provide insights into how network intelligence can be harnessed to understand social dynamics and improve decision-making processes in various domains. The reprint concludes with a chapter that proposes a generative design approach for the efficient mathematical modeling of complex systems.Swarm intelligenceArtificial intelligenceSwarm intelligence.Artificial intelligence.006.3824Altshuler YanivPereira Francisco CamaraDavid EliNjHacINjHaclBOOK9910734351003321Swarms and Network Intelligence3400890UNINA