Mark Miller
As a philosopher of cognition Mark Miller applies the tools of conceptual analysis and theoretical model building to answer fundamental questions about human cognition - about the way that human beings think.
His research investigates the implications of a leading new perspective on cognition, which conceptualizes the mind as an engine of knowledge-driven predictions. He works to integrate this body of work with the so called “4E cognition” view, which emphasizes the role of embodied and environmental processes in constituting what we call mind.
Today, He is exploring how these same developments in cognitive neuroscience may help us gain a clearer understanding of the impact that our increasingly technologically-mediated world has on our happiness and well-being. He is developing new perspectives on contemporary discussions in domains such as human-computer interaction and socio-technical systems, with a specific emphasis on human flourishing.
Education
- PhD, University of Edinburgh
- MSc, University of Edinburgh
- BA, University of Toronto
Research Interests
- Cognitive Science
- Philosophy of Mind
- Philosophy of Neuroscience
- Psychology and Psychiatry
- Philosophy of Science
- Phenomenology
- Philosophy and Ethics of Technology and Artificial Intelligence
Publications
Articles
- White, B. & Miller, M. (forthcoming) Free-Energy Minimising Agents and Beneficial A.I.: Ambient Smart Environments, Allostasis, and Metacognitive Control. Synthese.
- Manu, S. & Miller, M. (forthcoming) Increasing Death Competency to Reduce Pathology: A Predictive Processing Account of the Benefits of Approaching Death-Stimuli. The Undergraduate Research Journal of Psychology at UCLA.
- White, B., Clark, A., & Miller, M. (2024). Digital Being: social media and the predictive mind. Neuroscience of Consciousness, 2024(1), niae008
Book Chapters / Reviews
- •Miller, M., Anderson, M. M., Schoeller, F., & Kiverstein, J. (2023). Getting a Kick out of Film. Worlding the Brain: Neurocentrism, Cognition and the Challenge of the Arts and Humanities, 3, 49.
- Ramstead, M. J., Wiese, W., Miller, M., & Friston, K. J. (2023). Deep neurophenomenology: An active inference account of some features of conscious experience and of their disturbance in major depressive disorder. In Expected Experiences (pp. 9-46). Routledge.
- Miller, M., & Markovic, J. (2023). Interoceptive Inference: Emotion-Cognition Interactions in the Predictive Brain. Predictive Minds: Old Problems and New Challenges, 121.
Edited Collections
- Phenomenal Expectations: New Essays on Predictive Processing and Consciousness (2022). (Eds) Miller, M., Schlicht, T. & Clark, A. Review for Philosophy and Psychology.
- Experiencing Wellness: Predictive Processing Approach to Mental Health and Well-Being (2023). (Eds) Miller, M., Kiverstein, J. & Hipolito, I. Special Issue in Neuroscience of Consciousness.
- The Computational Approach to Neuro-Phenomenology (forthcoming). (Eds) Mago, J., Lutz, A., Lifshitz, M. & Miller, M. Special Issue in Neuroscience of Consciousness.