A Generative Model of Consciousness
Developing formal frameworks for understanding conscious experience, meaning, and agency.
“The world is given to me only once, not one existing and one perceived. Subject and object are only one.”
I am a faculty member in the Department of Mechanical Engineering at Braude Academic College of Engineering in Israel. I received my B.Sc., M.Sc., and Ph.D. in Aerospace Engineering from the Technion – Israel Institute of Technology, where my doctoral research focused on propulsion and combustion of rocket and ramjet motors.
Over the years, my scientific interests gradually expanded beyond the study of physical systems. Alongside my academic work, I became increasingly interested in questions concerning the nature of subjective experience, consciousness, agency, and transformation processes.
This exploration included training and clinical practice in body psychotherapy and other healing approaches, alongside a longstanding contemplative practice grounded in meditation. These offered complementary ways of investigating aspects of reality that are difficult to access through intellectual observation alone.
Today, my work seeks to bring these perspectives together through engineering, neuroscience, and philosophy of mind, combining theoretical models with empirical investigation to better understand and explain conscious, subjective experience in terms of scientific principles.
Developing formal frameworks for understanding conscious experience, meaning, and agency.
Investigating conscious and neuroadaptive processes through EEG, physiological measurement, behavior, and machine learning.
Studying human movement and soft-tissue mechanics, with applications in tremor assessment and personalized rehabilitation.
Pelosi, A.D. A Generative Architecture of Conscious Experience. Preprint · Manuscript under review
Pelosi, A.D. What Gives Rise to the New? Generative Intelligence and the Emergence of Agency and Free Choice.
Roth, N. and Pelosi, A.D. A Novel Method for Quantifying Tremor Directionality from Digitized Drawing Tasks in Essential Tremor.
Pelosi, A.D. From Resonance to Choice: A Formal Dynamical Model.
Pelosi, A.D. and Salih, A. When Cues Speak Louder Than Thoughts: What Neural Networks Really Learn in Motor Imagery Classification.
Dahan, A., Roth, N., Pelosi, A.D. and Reiner, M. A Reinforcement Learning Framework for Personalized Adaptive E-Learning. In Advanced Technologies and the University of the Future, Springer, pp. 141–162.
Pelosi, A.D., Roth, N., Yehoshua, T., Itah, D., Braun Benyamin, O. and Dahan, A. Personalized Rehabilitation Approach for Reaching Movement Using Reinforcement Learning. Scientific Reports, 14, 17675.
Salih, A., Roth, N., Buganim, O. and Pelosi, A.D. A Low-Cost Open-Source Uniaxial Tensile System for Soft Tissue Testing. Hardware, 2, 292–305.
Solomon, S. and Pelosi, A.D. Film Cooling of a Blunt Body in a Supersonic High-Enthalpy Flow. Journal of Spacecraft and Rockets, 58(6), 1652–1661.
Pelosi, A.D. and Gany, A. Study of a Concept of Energetic Materials Consisting of a Solid Fuel Matrix Containing Liquid Oxidizer. In W. Pang, L.T. DeLuca, A.A. Gromov and A. Cumming (eds.), Innovative Energetic Materials: Properties, Combustion Performance and Application, Springer Singapore, pp. 3–15.
Pelosi, A.D. and Gany, A. Modeling the Combustion of a Solid Fuel Containing a Liquid Oxidizer Droplet. Journal of Propulsion and Power, 28(6), 1379–1388.
Department of Mechanical Engineering
Braude College of Engineering, Israel