Abstract
Moronic systems refer to systems that are incapable of intelligent decision-making due to a lack of advanced cognitive capabilities. These systems have not been updated to meet current standards, and machines that lack intelligent perception are the implication of these systems. By using intelligent agents, the perception capabilities like decision-making and overall performance of moronic systems can be enhanced. The intelligent agents can provide real-time data analysis and decision-making capabilities that can help identify potential hazards and avoid accidents. They can be utilized in human-inspired moronic systems to support healthcare decision-making and advance emotion recognition in a variety of applications, including gaming, mental health monitoring, and human-robot interaction. In this review, we explore the latest research and advancements in intelligent agents for improving the perception of moronic systems. We discuss their application in self-driving vehicles and human-inspired systems. Also, we explore the latest research and advancements in intelligent agents for improving the perception of moronic systems, including their application in self-driving vehicles and human-inspired systems.
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Riaz, F. et al. (2024). Improving the Perception of Moronic Systems Whether Human or Self-Driving Vehicles Using Intelligent Agents: A Review. In: Ekpo, S.C. (eds) The Second International Adaptive and Sustainable Science, Engineering and Technology Conference. ASSET 2023. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53935-0_22
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