The Application of Computational Modeling to Explore Human Cognition, Emotion and Wellbeing

The Application of Computational Modeling to Explore Human Cognition, Emotion and Wellbeing

This research applies computational methods from diverse fields to improve our understanding of the human mind, feelings and flourishing.

Research Areas:

• Neural Networks – Developing computational models of neural networks in the brain using cellular automata to study the chaotic properties of cognitive processes.

•Social Cognition – Using computational social network analysis to examine how social hierarchies influence human behavior, attitudes and crisis management.

•Art and Perception – Developing computational models inspired by principles of harmony and Gestalt psychology to analyze the artistic, perceptual and narrative components of the human mind.

•Music and Emotion – Applying computational models of music and rhythm to gain insights into human emotional communication and wellbeing.

•Epigenetics and Neuroplasticity – Analyzing the role of epigenetics, neuroplasticity and symbiotic co-evolution in human wellbeing through a computational lens.

•AI and Consciousness – Exploring the development of artificial general intelligence through computational approaches informed by philosophy of mind.

•Digital Technology – Investigating the effects of virtual reality, games and other digital technologies on cognitive processes through computational modeling and neuroscience.

Overarching Goals:

•Gain a holistic, interdisciplinary understanding of cognition, emotion and flourishing by integrating computational approaches from diverse domains.

• Provide insights that can inform the development of more intelligent technologies that promote human wellbeing and fulfillment.

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