Preprint

Anderson, Michael L and Champion, Heather (2021) Some dilemmas for an account of neural representation: A reply to Poldrack. [Preprint]

Andrews, Mel (2021) The Math is not the Territory: Navigating the Free Energy Principle. [Preprint]

Barrett, Jeffrey A. and VanDrunen, Jacob (2021) Language Games and the Emergence of Discourse. [Preprint]

Cambbell, Douglas Ian and Yang, Yi (2019) Does the Solar System Compute the Laws of Motion? [Preprint]

Coelho Mollo, Dimitri (2019) Against Computational Perspectivalism. [Preprint]

Coelho Mollo, Dimitri (2019) Are There Teleological Functions to Compute? [Preprint]

Coelho Mollo, Dimitri (2021) Why go for a computation-based approach to cognitive representation. [Preprint]

Colombo, Matteo (2020) (Mis)computation in Computational Psychiatry. [Preprint]

Colombo, Matteo and Heinz, Andreas (2019) Explanatory Integration, Computational Phenotypes and Dimensional Psychiatry. The case of alcohol use disorder. [Preprint]

Constant, Axel and Clark, Andy and Friston J, Karl (2019) Representation Wars: Enacting an Armistice through Active Inference. [Preprint]

Curtis-Trudel, Andre E (2024) Computation in Context. [Preprint]

Curtis-Trudel, Andre E (2022) The ~In~Determinacy of Computation. [Preprint]

Curtis-Trudel, Andre E (2020) Why do we need a theory of implementation? [Preprint]

Davis, Isaac (2024) Rational representations of uncertainty: a pluralistic approach to bounded rationality. [Preprint]

Dewhurst, Joe (2020) There Is No Such Thing As Miscomputation. [Preprint]

Durt, Christoph and Froese, Tom and Fuchs, Thomas (2023) Large Language Models and the Patterns of Human Language Use: An Alternative View of the Relation of AI to Understanding and Sentience. [Preprint]

Elohim, David (2017) Forms of Luminosity: Epistemic Modality and Hyperintensionality in Mathematics. [Preprint]

Epstein, Eric Gordon (2019) Radical Embodied Cognitive Science and Problems of Intentionality. [Preprint]

Facchin, Marco (2022) There is no "inference within a model". [Preprint]

Facchin, Marco (2021) Troubles with mathematical contents. [Preprint]

Fedyk, Mark and Xu, Fei (2020) Creativity as Potentially Valuable Improbable Constructions. [Preprint]

Fresco, Nir (2021) Long-Arm Functional Individuation of Computation. [Preprint]

Fresco, Nir and Artiga, Marc and Wolf, Marty J. (2024) Teleofunction in the Service of Computational Individuation. [Preprint]

Fresco, Nir and Copeland, B. Jack and Wolf, Marty J. (2021) The Indeterminacy of Computation. [Preprint]

Johnson, Gabbrielle (2020) Algorithmic Bias: On the Implicit Biases of Social Technology. [Preprint]

Jurjako, Marko (2022) CAN PREDICTIVE PROCESSING EXPLAIN SELF-DECEPTION? [Preprint]

Kästner, Lena and Crook, Barnaby (2023) Explaining AI Through Mechanistic Interpretability. [Preprint]

Lee, Jonny (2023) What is cognitive about ‘plant cognition’? [Preprint]

López-Rubio, Ezequiel (2020) Throwing light on black boxes: emergence of visual categories from deep learning. [Preprint]

Maley, Corey (2022) Medium Independence and the Failure of the Mechanistic Account of Computation. [Preprint]

Maley, Corey J. (2020) Analog Computation and Representation. [Preprint]

Maley, Corey J. (2022) How (and Why) to Think that the Brain is Literally a Computer. [Preprint]

Maley, Corey J. (2023) Icons, magnitudes, and their parts. [Preprint]

Maley, Corey J. (2021) The Physicality of Representation. [Preprint]

Miller, Ryan (2021) Does Artificial Intelligence Use Private Language? [Preprint]

Ovidiu Cristinel, Stoica (2023) Does a computer think if no one is around to see it? [Preprint]

Piccinini, Gualtiero (2024) Embodied (4EA) Cognitive Computational Neuroscience. [Preprint]

Piekarski, Michał (2023) Incorporating (variational) free energy models into mechanisms: the case of predictive processing under the free energy principle. [Preprint]

Polger, Thomas and Shapiro, Lawrence (2023) The Puzzling Resilience of Multiple Realization. [Preprint]

Rabiza, Marcin (2024) A Mechanistic Explanatory Strategy for XAI. [Preprint]

Ramstead, Maxwell J. D. and Kirchhoff, Michael D. and Friston, Karl J. (2019) A tale of two densities: Active inference is enactive inference. [Preprint]

Ramstead, Maxwell J. D. and Wiese, Wanja and Miller, Mark and Friston, Karl J. (2020) Deep neurophenomenology: An active inference account of some features of conscious experience and of their disturbance in major depressive disorder. [Preprint]

Richmond, Andrew (2022) How Computation Explains. [Preprint]

Shenker, Orly and Hemmo, Meir (2021) The Multiple-Computations Theorem and the physics of singling out a computation. [Preprint]

Sprevak, Mark (2021) Predictive coding I: Introduction. [Preprint]

Sprevak, Mark (2021) Predictive coding II: The computational level. [Preprint]

Sprevak, Mark (2021) Predictive coding III: The algorithmic level. [Preprint]

Sprevak, Mark (2021) Predictive coding IV: The implementation level. [Preprint]

Stinson, Catherine (2019) From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence. [Preprint]

Vernazzani, Alfredo and Coelho Mollo, Dimitri (2023) The Formats of Cognitive Representation: A Computational Account. [Preprint]

Weinberger, Naftali and Allen, Colin (2021) Static-Dynamic Hybridity in Dynamical Models of Cognition. [Preprint]

Weinberger, Naftali and Allen, Colin (2021) Static-Dynamic Hybridity in Dynamical Models of Cognition. [Preprint]

Conference or Workshop Item

Zednik, Carlos and Boelsen, Hannes (2020) The Exploratory Role of Explainable Artificial Intelligence. In: UNSPECIFIED.

Published Article or Volume

Adams, Fred (2020) Global aphasia and the language of thought. THEORIA. An International Journal for Theory, History and Foundations of Science, 35 (1). pp. 9-27. ISSN 2171-679X

Downey, Adrian (2020) Mark Sprevak and Matteo Colombo's The Routledge Handbook of the Computational Mind. BJPS Review of Books.

Fletcher, Samuel C. (2018) Computers in Abstraction/Representation Theory. Minds and Machines, 28 (3). pp. 445-463. ISSN 0924-6495

Gonçalves, Bernardo and Porto, Fabio (2016) A note on the complexity of the causal ordering problem. Artificial Intelligence, 238. pp. 154-165. ISSN 00043702

Sergeyev, Yaroslav (2011) Higher order numerical differentiation on the Infinity Computer. Optimization Letters, 5 (4). pp. 575-585.

Sergeyev, Yaroslav (2023) Lower and upper estimates of the quantity of algebraic numbers. Mediterranean Journal of Mathematics, 20 (12). pp. 1-10.

Sergeyev, Yaroslav (2009) Numerical point of view on Calculus for functions assuming finite, infinite, and infinitesimal values over finite, infinite, and infinitesimal domains. Nonlinear Analysis Series A: Theory, Methods & Applications, 71 (12). e1688-e1707.

Sergeyev, Yaroslav (2022) Some paradoxes of infinity revisited. Mediterranean Journal of Mathematics, 19 (143). pp. 1-28.

Sergeyev, Yaroslav (2016) The exact (up to infinitesimals) infinite perimeter of the Koch snowflake and its finite area. Communications in Nonlinear Science and Numerical Simulation, 31 (1-3). pp. 21-29.

Sergeyev, Yaroslav and Garro, Alfredo (2010) Observability of Turing Machines: a refinement of the theory of computation. Informatica, 21 (3). pp. 425-454.

Sergeyev, Yaroslav and Garro, Alfredo (2013) Single-tape and multi-tape Turing machines through the lens of the Grossone methodology. Journal of Supercomputing, 65 (2). pp. 645-663.