Research
Upcoming Book
The upcoming book explores how the brain constructs our perception of the world and the implications this has on our understanding of reality.
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Recent Articles
The Philosophising
Machine
Proposes an alternative to the Turing Test to distinguish genuine thought from data manipulation
Predicting Ordinary Objects into the World
Uses predictive processing to unify and reformulate traditional problems of object perception
Predictive Processing and Metaphysics
Explains how controlled hallucinations in predictive processing create their own
reality
Selection of Publications
Journal Articles
Schwaninger, A. (2022) The Philosophising Machine – A Specification of the Turing Test. Springer: Philosophia.
Schwaninger, A. (2022) Predicting Ordinary Objects into the World. Taylor & Francis: Philosophical Psychology.
Tjøstheim, T. A., Stephens, A., Schwaninger, A., Roszko, M., Olsson, E. J. (2022) Reliabilism and the value problem: Goldman and Olsson’s conditional probability solution and its cognitive basis. Springer: Acta Analytica.
Schwaninger, A. (2022) Intuitions in Metaphysics. Hermeneutische Bl ̈atter 2022.
Tjøstheim, T. A., Stephens, A., Anikin, A., Schwaninger, A. (2020) The Cognitive Philosophy of Communication. MDPI: Philosophies, 5(39).
Schwaninger, A. (2019) What Simulations Teach Us About Ordinary Objects. De Gruyter: Open Philosophy, 2(1), 614.
Sidler, D., Schwaninger, A., Riniker, S. (2016) Replica Exchange Enveloping Distribution Sampling (RE-EDS): A Robust Method to Estimate Multiple Free-Energy Differences from a Single Simulation. AIP: The Journal of Chemical Physics, 145(15), 154114.
Schwaninger, A., Menshykau, D., Iber, D. (2015) Simulating Organogenesis: Algorithms for the Image-based Determination of Displacement Fields. ACM Transactions on Modeling and Computer Simulation (TOMACS), 25(2), 10.
Book Chapters and other Articles
Schwaninger, A. (2023) Predictive Processing and Metaphysics. Predictive Processing: a New Model of the Brain, eds. Manuel Curado and Steven S. Gouveia. Vernon Press.
Schwaninger, A. (2017). Training the Moral Behaviour of Self-driving Cars. IACAP 2017. The Annual Meeting of the International Association for Computing and Philosophy, Stanford University, June 26-28, 2017.
Iber, D., Karimaddini, Z., Schwaninger, A., Menshykau, D. (2014). Simulating Organogenesis in COM- SOL Multiphysics: Image-based Modelling. COMSOL Conference in Cambridge.
Schwaninger, A. (2019) Am Ende bleibt nur Asche übrig. Neue Zürcher Zeitung (NZZ), Issue: 26. August 2019.
Schwaninger, A. (2018) ”Prepper”: Vorbereitungen fu ̈r den Untergang der Welt. Neue Zürcher Zeitung (NZZ), Issue: 23. November 2018.
Selection of Presentations
”Applying AI Responsibly in the Health Industry”. PwC internal Workshop on Generative AI, Zurich, April 2023.
”Bayesian Priors of Cognition in Experimental Research Devices”. Bayesian learning and reasoning – Workshop of the Department of Philosophy, Ruhr-University Bochum, 12. July 2022.
”A Predictive Processing Perspective on the Nature of Vagueness”. Indeterminacy and Vagueness Conference, King’s College London, 28. May 2022.
”A computational learning approach to metaphysics”. Alternative Approaches to Metaphysics, University of Zurich, 30. September 2021.
”Metaphysical puzzles concerning ordinary objects – a cognitive science perspective”. XXV. Kongress der Deutschen Gesellschaft für Philosophie (DGPhil) – Sektionsvortrag in Metaphysik, Friedrich-Alexander- Universität Erlangen-Nürnberg, 9. September 2021.
”A cognitive science approach to the metaphysics of ordinary objects”. Clash between the scientific and the manifest image of the world – 3rd workshop of the OLOFOS group, Universit ́e catholique de Louvain (UCLouvain), 29. May 2020.
”Composition and the Bayesian Brain”. Cognitive Philosophy Workshop 2020 – Reflections on the role of philosophy, Lund University, 11. March 2020.
”A Cognitive Metaphysics approach to the Special Composition Question”. PHYSIS Winter School, Complutense University of Madrid, 10. February 2020.
”Cognitive Metaphysics”. Cognitive Philosophy Workshop 2019, Lund University, 20. October 2019.
