Reprint

Mathematical Methods Applied in Artificial Intelligence and Multi-Agent Systems

Edited by
September 2024
224 pages
  • ISBN978-3-7258-1895-2 (Hardback)
  • ISBN978-3-7258-1896-9 (PDF)

Print copies available soon

This is a Reprint of the Special Issue Mathematical Methods Applied in Artificial Intelligence and Multi-Agent Systems that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

Due to rapid developments in computing, communication, and sensing technology, multi-agent systems have become increasingly ubiquitous. Their applications include mobile sensor networks, autonomous vehicles, intelligent transportation systems, and smart grids. The complex unknown environment and inaccurate dynamics prose additional challenges for the modeling, control, and optimization of such systems. Therefore, data science and machine learning are providing opportunities to develop artificial intelligence-based methods and enable new control and optimization paradigms for multi-agent systems. The aim of this Special Issue is to bring together significant developments in the interface between machine learning, neurodynamics, and swarm intelligence.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
robotic swarm; common target; throughput; congestion; traffic control; deep reinforcement learning; automatic curriculum learning; curiosity; sparse reward; neutral-type neural networks; synchronization problem; mixed-delay-dependent functional; sampled-data control; communication delay; model identification; optimal control; multi-agent systems; adaptive dynamic programming; reinforcement learning; opinion dynamics; bias parameter; homogeneous; polarization; consensus; multi-agent systems; event-triggered control; disturbance observer; containment control; output feedback; time delay; multi-agent system; adaptive law; white noise; two-DOF FJMS; LFT; LMI; moving-horizon control; robust ℋ control; wide-area network; clustered multi-agent systems; distributed control; swarm intelligence; multi-modal neural machine translation; bilingual-visual harmony; visual annotation

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