A complex adaptive agent modeling to predict the stock market prices

Said, Yosra Ben; Said, Yosra Ridha Ben

doi:10.1016/j.eswa.2023.119783

Cited by 3 publications

(1 citation statement)

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“…In recent years, there has been a growing interest in integrating emotion assessment into decision support systems for crisis scenarios [27] . This involves using facial expressions to aid decision-making in emergency context.…”

Section: Related Workmentioning

confidence: 99%

Emotio-Intelligent: A New Adaptive Approach for Intelligent Evacuation in Crisis Situations.

Farhani,

Kanzari

2024

Preprint

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Addressing the critical challenge of evacuation, especially in crisis situations where uncontrollable emotions can significantly impact decision-making, is of paramount importance. In this article, the Emotional Intelligent Model is presented, a new approach that seamlessly integrates dynamic emotion recognition with an adapted intelligent evacuation strategy for crisis scenarios. Our methodology harnesses a combination of convolutional neural networks (CNN) for dynamic emotion sensing and long-term memory recurrent neural networks (LSTM) to provide decision support during evacuation. This paper provides an in-depth exploration of our system's architecture, encompassing the dynamic emotion recognition and personality profiling methods, as well as the adaptive evacuation strategy. During the experimental and validation phases, the MESA simulation platform was used. The results achieved confirm the effectiveness of the integrated emotional approach, which contributes to safer and smarter evacuation procedures in crisis situations.

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Section: Related Workmentioning

confidence: 99%