Swarms and Network Intelligence

• Kolejni autorzy: Altshuler, Yaniv (Redaktor), Pereira, Francisco Camara (Redaktor), David, Eli (Redaktor)
• Format: Elektroniczne Rozdział
• Język: angielski
• Wydane: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Hasła przedmiotowe: Information technology industries; Computer science; generative design; automated learning; evolutionary learning; co-design; genetic programming; human behavior; socioeconomic status; data analysis; social media; crowd-sourcing; wisdom of the crowd; social learning; Bayesian models; risk; Docker Swarm; leader election; privilege escalation; defense evasion; cloud; collective intelligence; crowdsourcing; policymaking; public policy; e-participation; literature review; deep learning; cybersecurity; artificial intelligence; swarm intelligence; adversarial AI; information theory; entropy; models; neural networks; communication; multi-agent; deep reinforcement learning; partial observability; distributed estimation; Sparse Bayesian Learning; exploration; swarm; multi-agent systems; consensus; D-optimal design; mobile crowdsensing; UAV control; graph network; maximum-entropy learning; mobile robotics; swarms; crowd dynamics; natural algorithms; locusts; n/a
• Dostęp online: DOAB: download the publication; DOAB: description of the publication

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-inspi...