The Application of Computational Methods to Gain Insights into
Human Cognition, Emotion and Well-being
This research applies computational techniques such as neural networks, fuzzy logic, chaos theory and data compression to gain new insights into human cognition, emotion and well-being.
A computational model of neural networks in the brain is developed using cellular automata to study the chaotic properties of cognitive processes. Computational social network analysis examines how social hierarchies influence human behavior, policy attitudes and crisis management.
The artistic, perceptual and narrative components of the human mind are analyzed using computational models inspired by principles of harmony and Gestalt psychology. The development of artificial general intelligence is explored through a computational approach informed by philosophy of mind.
Computational models of music and rhythm are used to gain insights into human emotional communication and well-being. The role of epigenetics, neuroplasticity and symbiotic co-evolution in human well-being is analyzed through a computational lens.
The influence of digital technology, including virtual reality and games, on cognitive processes is explored through computational neuroscience and modeling.
By combining computational methods from diverse domains like neuroscience, social science, philosophy and the arts, this research seeks a holistic and interdisciplinary understanding of human cognition, emotion and well-being, which will inform the development of more intelligent technologies that enhance human flourishing.