2026-10-15T10:45:31Z https://data.mendeley.com/oai

oai:data.mendeley.com/c4jdcgnbf6.1 2025-07-28T15:41:37Z

AYON, Ahmed Cognitive Swarm Intelligence in Multi-Agent AIoT Systems in Business & Automation Industries 4.0 & 5.0 Mendeley Data Cognitive Swarm Intelligence in Multi-AgeArtificial Intelligence of Things (AIoT) is transforming cyber-physical systems by embedding intelligence at the edge. While traditional AIoT systems often rely on centralized models, they fail in dynamic or bandwidth-limited environments. Swarm intelligence—decentralized coordination inspired by nature—offers a scalable solution. By embedding cognitive capabilities in each agent, this study proposes a cognitive swarm AIoT framework that mimics brain-like adaptability and learning across thousands of distributed nodes. The convergence of artificial intelligence, Internet of Things (IoT), and swarm intelligence has given rise to a new paradigm: Cognitive Swarm Intelligence in Multi-Agent AIoT systems. This field represents the integration of collective decision-making capabilities with distributed intelligent systems, enabling autonomous coordination and optimization across networked devices and agents.nt AIoT Systems in Business & Automation Industries Swarm Intelligence Algorithm Cognitive Control Artificial Intelligence of Things Dataset doi:10.17632/c4jdcgnbf6.1 oai:data.mendeley.com/c4jdcgnbf6.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/c4jdcgnbf6 2025-07-28T15:41:37Z