A

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

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]

B

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

C

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]

D

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]

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

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]

E

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]

F

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]

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

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]

G

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

J

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

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

K

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

L

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]

M

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]

O

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

P

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]

R

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]

S

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.

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]

V

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

W

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]

Z

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