Swarms and Network Intelligence

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...

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Détails bibliographiques
Collectivités auteurs: Altshuler, Yaniv, Pereira, Francisco Camara, David, Eli
Format: Livro
Langue:Inglês
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2023
Sujets:
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY 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
Accès en ligne:https://directory.doabooks.org/handle/20.500.12854/101382
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