An integrative explanation of action

Date

2020-12-01

Author

Benı, Majıd Davoody

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

266
views

0
downloads

The Predictive Processing Theory (PP) and its foundational Free Energy Principle (FEP) provide a unifying theoretical groundwork that subsumes theories of perception, cognition, and action. Recently Colin Klein (2018) contends that PP-FEP cannot explain adaptive action with the same force that they deal with perceptions. In his answer to the objection, Clark (2020) points out that FEP explains action, desire and motivation on the basis of minimisation of energy. I argue that this answer begs the question of the unifying framework of FEP. I assume that FEP-PP alone cannot provide an ultimately compelling explanation of action. However, I argue that when paired with a high level theory of psychology, such as Theriault et al.'s (2020) theory of social conformation in terms of the sense of should, the coupled theories provide an inclusive, symmetrical explanation of action. The symmetry of explanations is not a gap but a feature, on this specific occasion.

Subject Keywords

General Biochemistry, Genetics and Molecular Biology, Modelling and Simulation, Statistics and Probability, Applied Mathematics, General Medicine

URI

https://hdl.handle.net/11511/70212

Journal

BIOSYSTEMS

DOI

https://doi.org/10.1016/j.biosystems.2020.104266

Collections

Department of Philosophy, Article

Suggestions

OpenMETU
Core

Computational modeling of passive myocardium Göktepe, Serdar; Wong, Jonathan; Kuhl, Ellen (Wiley, 2011-01-01) This work deals with the computational modeling of passive myocardial tissue within the framework ofmixed, non-linear finite element methods. We consider a recently proposed, convex, anisotropic hyperelastic model that accounts for the locally orthotropic micro-structure of cardiac muscle. A coordinate-free representation of anisotropy is incorporated through physically relevant invariants of the Cauchy-Green deformation tensors and structural tensors of the corresponding material symmetry group. This model...
An alternative solution to the grinding equation in cumulative size distribution form Hoşten, Çetin (2005-04-01) An alternative analytical exact solution for the discrete-size kinetic equation of grinding in cumulative-fraction-passing mode was formulated as a matrix equation and tested successfully for predicting the transient evolution of the cumulative particle-size distribution and also for back-calculating the selection and breakage function parameters. The compact matrix form of the equation makes it computationally simple, and easy to extend the treatment to continuous mills. The solution should be particularly...
A mathematical modeling and approximation of gene expression patterns by linear and quadratic regulatory relations and analysis of gene networks Yılmaz, Fatma Bilge; Weber, Gerhard Wilhelm; Department of Scientific Computing (2004) This thesis mainly concerns modeling, approximation and inference of gene regulatory dynamics on the basis of gene expression patterns. The dynamical behavior of gene expressions is represented by a system of ordinary di erential equations. We introduce a gene-interaction matrix with some nonlinear entries, in particular, quadratic polynomials of the expression levels to keep the system solvable. The model parameters are determined by using optimization. Then, we provide the time-discrete approximation of o...
A new outlier detection method based on convex optimization: application to diagnosis of Parkinson's disease TAYLAN, PAKİZE; Yerlikaya-Ozkurt, Fatma; Bilgic Ucak, Burcu; Weber, Gerhard Wilhelm (Informa UK Limited, 2020-12-01) Neuroscience is a combination of different scientific disciplines which investigate the nervous system for understanding of the biological basis. Recently, applications to the diagnosis of neurodegenerative diseases like Parkinson's disease have become very promising by considering different statistical regression models. However, well-known statistical regression models may give misleading results for the diagnosis of the neurodegenerative diseases when experimental data contain outlier observations that l...
Cancer onset and progression: A genome-wide, nonlinear dynamical systems perspective on onconetworks Qu, K.; Haidar, A. Abi; Fan, J.; Ensman, L.; Tuncay, Kağan; Jolly, M.; Ortoleva, P. (Elsevier BV, 2007-05-21) It is hypothesized that the many human cell types corresponding to multiple states is supported by an underlying nonlinear dynamical system (NDS) of transcriptional regulatory network (TRN) processes. This hypothesis is validated for epithelial cells whose TRN is found to support an extremely complex array of states that we term a "bifurcation nexus", for which we introduce a quantitative measure of complexity. The TRN used is constructed and analyzed by integrating a database of TRN information, cDNA micro...

Citation Formats

M. D. Benı, “An integrative explanation of action,” BIOSYSTEMS, pp. 0–0, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/70212.