Below, team members' publications on the project subject can be found.
Boelsen, H. (work in progress): Can Deep Neural Networks Be Good Scientific Models?
Grunau, J., J. Harbecke and P. Samanek (work in progress): Why are the Bayesian Information Criterion and the Akaike Criterion not Applicable in Determining the Relative Simplicity of Mechanistic Models?
Harbecke, J. (submitted): The Counterfactual Theory of Causation and the Problem of Large Causes.
Harbecke, J. (submitted): Causal Proportionality as an Ontic and Epistemic Concept.
Harbecke, J. (submitted): The Methodological Role of Mechanistic-Computational Models in Cognitive Science.
Harbecke, J. and Zednik, C. (submitted): The Extrinsic View of Computation: Reinforcement Learning and Bayesian Rational Analysis.
Zednik, C. (in press): Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence, Philosophy & Technology.
Past Publications by Team Members on the Project Topic
Boelsen, H. (2016): Applied Metascience of Neuroethics. A Commentary on Paul M. Churchland, in: Metzinger, T. and Windt, J.M. (eds.), Open MIND, Cambridge: MIT Press, 251-259.
Harbecke, J. (2010): Mechanistic Constitution in Neurobiological Explanations, International Studies in the Philosophy of Science, 24(3), 267-285.
Harbecke, J. (2013): On the Distinction between Cause-Cause Exclusion and Cause-Supervenience Exclusion, Philosophical Papers, 42(2), 209-238.
Harbecke, J. (2014): The Role of Supervenience and Constitution in Neuroscientific Research, Synthese, 191(5), 725-743.
Harbecke, J. (2015): Regularity Constitution and the Location of Mechanistic Levels, Foundations of Science, 20(3), 323-338.
Harbecke, J. (2015): The Regularity Theory of Mechanistic Constitution and a Methodology for Constitutive Inference, Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 54, 10-19.
Harbecke J. (2018): Constitutive Inference and the Problem of a Complete Variation of Factors, in: Christian, A., Hommen D., N. Retzlaff and G. Schurz (eds), Philosophy of Science. European Studies in Philosophy of Science, 9, Cham: Springer, 205-221.
Harbecke, J. (2019): Two Challenges for a Boolean Approach to Constitutive Inference, European Journal for Philosophy of Science, 9(1), Art. 17.
Harbecke, J. and Atmanspacher, H. (2012): Horizontal and Vertical Determination of Mental and Neural States, Journal of Theoretical and Philosophical Psychology, 32(3), 161-179.
Harbecke, J. and Shagrir, O. (2019): The Role of the Environment in Computational Explanations, European Journal for Philosophy of Science, 9(3), Art. 37.
Pohl, S., H. Boelsen and E. Hildt (2018): Moral Attitudes Towards Pharmacological Cognitive Enhancement (PCE). Differences and Similarities Among German With and Without PCE Experience, Frontiers in Pharmacology, 9, Art. 1451.
Zednik, C. (2011): The Nature of Dynamical Explanation, Philosophy of Science, 78(2), 238-263.
Zednik, C. (2015): Heuristics, Descriptions, and the Scope of Mechanistic Explanation, in: Malaterre, C. and Braillard, P-A. (eds.), Explanation in Biology: An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences, Dordrecht: Springer, 295-318.
Zednik, C. (2018): Computational Cognitive Neuroscience. The Routledge Handbook of the Computational Mind (pp. 357-369). Edited by M. Colombo & M. Sprevak. London: Routledge.
Zednik, C. (2018): Mechanisms in Cognitive Science, in: Glennan, S. and Illari, P. (eds.), The Routledge Handbook of Mechanisms and Mechanical Philosophy, London: Routledge, 389-400.
Zednik, C. (2019): Models and Mechanisms in Network Neuroscience, Philosophical Psychology 32(1), 23-51.
Zednik, C. and Jäkel, F. (2016): Bayesian reverse-engineering considered as a research strategy for cognitive science, Synthese, 193, 3951-3985.