Gabbay, Dov M, and Christian Straßer. 2013. “Reactive Standard Deontic Logic”. Journal of Logic and Computation 25: 117–157.

Gauderis, Tjerk. 2012. “The Problem Of Multiple Explanatory Hypotheses” Lorenz Demey and Devuyst, Jonas. PhDs in Logic III: 45-53.

Gauderis, Tjerk. 2013. “Modelling Abduction In Science By Means Of A Modal Adaptive Logic”. FOUNDATIONS OF SCIENCE 18: 611–624.

Gauderis, Tjerk. In Press. “The Feasibility Of Modeling Hypothetical Reasoning By Formal Logics. Including An Overview Of Adaptive Logics For Singular Fact Abduction” Lorenzo Magnani and Bertolotti, Tommaso. Handbook of Model-Based Science.

Gauderis, Tjerk. 2014. “Patterns Of Hypothesis Formation”.

Gauderis, Tjerk. 2014. “To Envision A New Particle Or Change An Existing Law? Hypothesis Formation And Anomaly Resolution For The Curious Spectrum Of Beta Decay”. STUDIES IN HISTORY AND PHILOSOPHY OF MODERN PHYSICS 45: 27–45.

Gauderis, Tjerk, and Frederik Van De Putte. 2012. “Abduction Of Generalizations”. Theoria - revista de teoria historia y fundamentos de la ciencia 27: 345–364.

Gauderis, Tjerk. 2013. “Pauli's Idea Of The Neutrino: How Models In Physics Allow To Revive Old Ideas For New Purposes” Lorenzo Magnani. Model-based reasoning in science and technology : theoretical and cognitive issues: 449-461.

Gauderis, Tjerk. 2011. “An Adaptive Logic Based Approach To Abduction In Ai”. Ninth International Workshop on Non-Monotonic Reasoning, Action and Change: 1-6.

Gervais, Raoul. 2014. “Mechanistic And Non-Mechanistic Varieties Of Dynamical Models In Cognitive Science: Explanatory Power, Understanding, And The 'mere Description' Worry”. Synthese 192: 43–66.

Gervais, Raoul. 2012. “Op Het Snijvlak Van Cognitie, Wetenschap En Filosofie: Intertheoretische Relaties In De Twintigste Eeuw”. ALGEMEEN NEDERLANDS TIJDSCHRIFT VOOR WIJSBEGEERTE 104: 21–38.

Gervais, Raoul. 2014. “Explaining Capacities: Assessing The Explanatory Power Of Models In The Cognitive Sciences” Erik Weber, Wouters, Dietlinde, and Meheus, Joke. Logic, Reasoning, and Rationality: 45-57.

Gervais, Raoul, and Erik Weber. 2011. “The Covering Law Model Applied To Dynamical Cognitive Science: A Comment On Joel Walmsley”. Minds and Machines 21: 33–39.

Gervais, Raoul. 2013. “Explanation In The Cognitive Sciences And Biology: Mechanisms, Laws And Their Explanatory Virtues”.

Gervais, Raoul. 2012. “Pragmatic Approaches To Explanation Applied To The Cognitive Sciences: Two Types Of Explanation-Seeking Questions Compared” Bart Van Kerkhove, Libert, Thierry, Vanpaemel, Geert, and Marage, Pierre. Logic, Philosophy and History of Science in Belgium II: 131–137.

Gervais, Raoul, and Erik Weber. 2013. “Inferential Explanations In Biology”. Studies in History and Philosophy of Biological and Biomedical Sciences 44: 356–364.

Gervais, Raoul. 2013. “Non-Cognitive Values And Objectivity In Scientific Explanation: The Case Of The Movius Line”. PERSPECTIVES ON SCIENCE 21: 429–452.

Gervais, Raoul, and Erik Weber. 2013. “Plausibility Versus Richness In Mechanistic Models”. PHILOSOPHICAL PSYCHOLOGY 26: 139–152.

Gervais, Raoul. 2014. “A Framework For Inter-Level Explanations: Outlines For A New Explanatory Pluralism.”. Studies in History and Philosophy of Science Part A 48: 1–9.

Gervais, Raoul, and Huib Looren de Jong. 2013. “The Status Of Functional Explanation In Psychology: Reduction And Mechanistic Explanation”. THEORY & PSYCHOLOGY 23: 145–163.

Haesaert, Lieven. 2002. “Een Adaptieve Logica Voor Het Beschrijven Van Inductie”. In Handelingen van de 24ste Nederlands-Vlaamse Filosofiedag: Filosofie en Empirie, Handelingen van de 24ste Nederlands-Vlaamse Filosofiedag: Filosofie en Empirie, Universiteit Amsterdam.

Haesaert, Lieven. 2004. “A Non-Probabilistic Approach To Inductive Prediction”.

Haesaert, Lieven. 2005. “Adaptieve Inductielogica's. Theory En Praktijk Van Het Inductief Redeneren”.

Heeffer, Albrecht. 2010. “The Body In Renaissance Arithmetic: From Mnemonics To Embodied Cognition”. In Proceedings of the Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation, Proceedings of the Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation, Alison Pease, Guhe, Markus, and Smaill, Alan. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour.

Heeffer, Albrecht. 2011. “Historical Objections Against The Number Line”. Science and Education 20: 863–880.