Complex Adaptive Systems and Psychophysiological Data-An Exploratory Approach
Published in 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2023
Abstract
The diverse nature of emotion models presents challenges in psychophysiological analysis, notably affecting the comparability and reliability of research findings across studies. This exploratory work aims to address the diversity of emotion models by abstracting them into a higher-order perspective while preserving the specificity of the original emotions. This will be accomplished by integrating Complex Adaptive Systems utilising their inherent interactivity to foster rich interactions between different emotion models, adaptability to adjust to the nuances of each model, and self-organisation to autonomously form a coherent understanding of diverse emotional data. By analysing interactions within the system, this study aims to identify abstract emotion representations that capture dynamic patterns in physiological data that indicate emotional states. Combining these dynamic patterns with an analysis of system interactions offers a novel perspective in emotion modelling.
Recommended citation: Dair, Zachary and Dockray, Samantha and O'Reilly, Ruairi (2023). “Complex Adaptive Systems and Psychophysiological Data-An Exploratory Approach.” 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS).