Reception of Kantianism in Neo-Scholastic Theory of Knowledge:Jaume Balmes’ Doctrine

2020 ◽  
pp. 172-180
Author(s):  
Rodion V. Savinov ◽  
Keyword(s):  
Large Scale ◽  
A Priori ◽  
Negative Attitude ◽  
Theory Of Knowledge ◽  
Intellectual Culture ◽  
Profound Influence ◽  
Scholastic Philosophy ◽  
Universal Reason ◽  
Fourth Book ◽  
Kantian Philosophy

The Article is devoted to the Representative of the Early Neo-Scholasticism, Span­ish Thinker Jaume Balmes. The Focus of Attention is the Interpretation of the Kan­tian Doctrine of Knowledge, which Balmes proposed in the Fourth Book of his “Filosofia Fundamental”(1846). It is shown that contrary to the generally negative attitude towards Kant and the Philosophy of Criticism that prevailed by the 1830s in Catholic Intellectual Culture, Balmes not only seriously studies and evaluates the Results of Kantian Criticism, but also he finds many points of contact between Criticism and Scholasticism, for which he undertakes a large-scale rewriting of the Kantian Theory of Knowledge in Terms of Scholasticism. At the same time, he of­fers Criticism of Kantian philosophy based on the Resources of the Scholastic Tra­dition, which allows integrating the Transcendental Analysis of Cognition devel­oped by Kant into the Methods of Scholastic Philosophy. Balmes sought to restore the Possibility of Metaphysical Knowledge, as a Result of which he excluded a number of Important Points of the Kantian Concept, he changed idea of a priori, setting the Boundaries of Sensuality and Reason, to a moving and dynamic “Agent Intellect” (entendimento agente), and Balmes replaced a transcendental subject by a “Universal Reason” (razón universal). In Conclusion, it is shown that Balmes’ Interpretation had a profound Influence on the Development of Understanding of Kantian Philosophy in Neo-Scholasticism and Neo-Thomism.

Theory of Knowledge

2019 ◽  
pp. 337-404
Author(s):  
Paul Rusnock ◽  
Jan Šebestík
Keyword(s):  
Modern Philosophy ◽  
Final Section ◽  
A Priori ◽  
Historical Context ◽  
Theory Of Knowledge ◽  
Empirical Knowledge ◽  
Human Knowledge ◽  
Theory Of Science ◽  
Kantian Philosophy

This chapter presents Bolzano’s theory of knowledge, focusing on the account given in Book 3 of the Theory of Science. It begins with an introduction situating Bolzano in the historical context of modern philosophy and highlighting some of the most innovative features of his epistemology. There follows a section laying out the elements of Bolzano’s account of human knowledge: the nature of subjective ideas and propositions, their relations to their objective counterparts, intuitions and concepts, inference, immediate judgments, a priori and empirical knowledge. It then discusses his notions of knowledge, error, and certainty, followed by a consideration of §303 of the Theory of Science, where Bolzano describes how we might come to form some of our most basic judgments of experience. A final section discusses Bolzano’s critical stance towards the Kantian philosophy. (133 words)

scholarly journals Two Kindred Neo-Kantian Philosophies of Science: Pap’s The A Priori in Physical Theory and Cassirer’s Determinism and Indeterminism in Modern Physics

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Thomas Mormann
Keyword(s):  
Philosophy Of Science ◽  
20Th Century ◽  
Physical Theory ◽  
A Priori ◽  
Logical Empiricism ◽  
Main Thesis ◽  
Modern Physics ◽  
Continental Tradition ◽  
Determinism And Indeterminism ◽  
Kantian Philosophy

Abstract The main thesis of this paper is that Pap’s The Functional A Priori in Physical Theory and Cassirer’s Determinism and Indeterminism in Modern Physics may be conceived as two kindred accounts of a late Neo-Kantian philosophy of science. They elucidate and clarify each other mutually by elaborating conceptual possibilities and pointing out affinities of neo-Kantian ideas with other currents of 20th century’s philosophy of science, namely, pragmatism, conventionalism, and logical empiricism. Taking into account these facts, it seems not too far fetched to conjecture that under more favorable circumstances Pap could have served as a mediator between the “analytic” and “continental” tradition thereby overcoming the dogmatic dualism of these two philosophical currents that has characterized philosophy in the second half the 20th century.

Necessity, Certainty, and the A Priori

1988 ◽  
Vol 18 (1) ◽  
pp. 43-66 ◽  
Author(s):  
Albert Casullo
Keyword(s):  
Cognitive Processes ◽  
Mathematical Knowledge ◽  
A Priori ◽  
Theory Of Knowledge ◽  
A Posteriori ◽  
Unitary Theory ◽  
Knowledge Based

Empiricist theories of knowledge are attractive for they offer the prospect of a unitary theory of knowledge based on relatively well understood physiological and cognitive processes. Mathematical knowledge, however, has been a traditional stumbling block for such theories. There are three primary features of mathematical knowledge which have led epistemologists to the conclusion that it cannot be accommodated within an empiricist framework: 1) mathematical propositions appear to be immune from empirical disconfirmation; 2) mathematical propositions appear to be known with certainty; and 3) mathematical propositions are necessary. Epistemologists who believe that some nonmathematical propositions, such as logical or ethical propositions, cannot be known a posteriori also typically appeal to the three factors cited above in defending their position. The primary purpose of this paper is to examine whether any of these alleged features of mathematical propositions establishes that knowledge of such propositions cannot be a posteriori.

EARRINGS: an efficient and accurate adapter trimmer entails no a priori adapter sequences

2021 ◽  
Author(s):  
Ting-Hsuan Wang ◽  
Cheng-Ching Huang ◽  
Jui-Hung Hung
Keyword(s):  
Open Source Software ◽  
Large Scale ◽  
A Priori ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Comparable Accuracy ◽  
Meta Analyses ◽  
Next Generation Sequencing Ngs ◽  
Adapter Trimming ◽  
Generation Sequencing

Abstract Motivation Cross-sample comparisons or large-scale meta-analyses based on the next generation sequencing (NGS) involve replicable and universal data preprocessing, including removing adapter fragments in contaminated reads (i.e. adapter trimming). While modern adapter trimmers require users to provide candidate adapter sequences for each sample, which are sometimes unavailable or falsely documented in the repositories (such as GEO or SRA), large-scale meta-analyses are therefore jeopardized by suboptimal adapter trimming. Results Here we introduce a set of fast and accurate adapter detection and trimming algorithms that entail no a priori adapter sequences. These algorithms were implemented in modern C++ with SIMD and multithreading to accelerate its speed. Our experiments and benchmarks show that the implementation (i.e. EARRINGS), without being given any hint of adapter sequences, can reach comparable accuracy and higher throughput than that of existing adapter trimmers. EARRINGS is particularly useful in meta-analyses of a large batch of datasets and can be incorporated in any sequence analysis pipelines in all scales. Availability and implementation EARRINGS is open-source software and is available at https://github.com/jhhung/EARRINGS. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Integrating Multiple and Fine Scale Predictors of Habitat Selection and Landscape Resistance for Amphibian Distribution Modelling at Large Scale

2021 ◽  
Author(s):  
Florence Matutini ◽  
Jacques Baudry ◽  
Marie-Josée Fortin ◽  
Guillaume Pain ◽  
Joséphine Pithon
Keyword(s):  
Large Scale ◽  
A Priori ◽  
Species Level ◽  
Fine Scale ◽  
Landscape Resistance ◽  
Amphibian Species ◽  
Distribution Modelling ◽  
Multi Scale ◽  
Functional Grain ◽  
Level Analysis

Abstract Context – Species distribution modelling is a common tool in conservation biology but two main criticisms remain: (1) the use of simplistic variables that do not account for species movements and/or connectivity and (2) poor consideration of multi-scale processes driving species distributions. Objectives – We aimed to determine if including multi-scale and fine-scale movement processes in SDM predictors would improve accuracy of SDM for low-mobility amphibian species over species-level analysis.Methods – We tested and compared different SDMs for nine amphibian species with four different sets of predictors: (1) simple distance-based predictors; (2) single-scale compositional predictors; (3) multi-scale compositional predictors with a priori selection of scale based on knowledge of species mobility and scale-of-effect (4) multi-scale compositional predictors calculated using a friction-based functional grain to account for resource accessibility with landscape resistance to movement.Results - Using friction-based functional grain predictors produced slight to moderate improvements of SDM performance at large scale. The multi-scale approach, with a priori scale selection led to ambiguous results depending on the species studied, in particular for generalist species.Conclusion - We underline the potential of using a friction-based functional grain to improve SDM predictions for species-level analysis.

Reliability Based Scheduling Model (RSM) for Computational Grids

2012 ◽  
pp. 37-54
Author(s):  
Zahid Raza ◽  
Deo P. Vidyarthi
Keyword(s):  
Data Exchange ◽  
Large Scale ◽  
A Priori ◽  
Dynamic Environment ◽  
Computational Grid ◽  
Computational Grids ◽  
Scheduling Model ◽  
Reliability Computation ◽  
Grid Resources ◽  
Maximum Reliability

Computational Grid attributed with distributed load sharing has evolved as a platform to large scale problem solving. Grid is a collection of heterogeneous resources, offering services of varying natures, in which jobs are submitted to any of the participating nodes. Scheduling these jobs in such a complex and dynamic environment has many challenges. Reliability analysis of the grid gains paramount importance because grid involves a large number of resources which may fail anytime, making it unreliable. These failures result in wastage of both computational power and money on the scarce grid resources. It is normally desired that the job should be scheduled in an environment that ensures maximum reliability to the job execution. This work presents a reliability based scheduling model for the jobs on the computational grid. The model considers the failure rate of both the software and hardware grid constituents like application demanding execution, nodes executing the job, and the network links supporting data exchange between the nodes. Job allocation using the proposed scheme becomes trusted as it schedules the job based on a priori reliability computation.

Kant’s Categories Reconsidered

1998 ◽  
pp. 58-64
Author(s):  
Robert Greenberg
Keyword(s):  
Ontological Commitment ◽  
A Priori ◽  
Space Time ◽  
Theory Of Knowledge ◽  
A Priori Knowledge ◽  
Representations Of Space ◽  
Direct Concern ◽  
Priori Knowledge

Adopting a Quinean criterion of ontological commitment, I consider the question of the ontological commitment of Kant's theory of our a priori knowledge of objects. Its direct concern is the customary view that the ontology of Kant's theory of knowledge in general, whether a priori or empirical, must be thought in terms of the a priori conditions or representations of space, time, and the categories. Accordingly, this view is accompanied by the customary interpretation of ontology as consisting of Kantian "appearances" or "empirical objects." I argue against this view and interpretation. My argument turns on the opposition between the necessity and universality of the a priori and the particularity and contingency of the existent. Its main point is that the a priori can remain necessary and universal only if the existence of objects is kept distinct from it.

scholarly journals Maximum turnaround radius in f(R) gravity

2019 ◽  
Vol 28 (03) ◽  
pp. 1950058 ◽  
Author(s):  
Salvatore Capozziello ◽  
Konstantinos F. Dialektopoulos ◽  
Orlando Luongo
Keyword(s):  
Large Scale ◽  
A Priori ◽  
Spherically Symmetric ◽  
Cosmological Perturbation ◽  
Suitable Alternative ◽  
Cosmological Perturbation Theory ◽  
Large Scale Structures ◽  
Scale Structures ◽  
Analytic Expression ◽  
Prescription Rules

The accelerating behavior of cosmic fluid opposes gravitational attraction at present epoch, whereas standard gravity is dominant at small scales. As a consequence, there exists a point where the effects are counterbalanced, dubbed turnaround radius, [Formula: see text]. By construction, it provides a bound on maximum structure sizes of the observed universe. Once an upper bound on [Formula: see text] is provided, i.e. [Formula: see text], one can check whether cosmological models guarantee structure formation. Here, we focus on [Formula: see text] gravity, without imposing a priori the form of [Formula: see text]. We thus provide an analytic expression for the turnaround radius in the framework of [Formula: see text] models. To figure this out, we compute the turnaround radius in two distinct cases: (1) under the hypothesis of static and spherically symmetric spacetime, and (2) by using the cosmological perturbation theory. We thus find a criterion to enable large scale structures to be stable in [Formula: see text] models, circumscribing the class of [Formula: see text] theories as suitable alternative to dark energy. In particular, we get that for constant curvature, the viability condition becomes [Formula: see text], with [Formula: see text] and [Formula: see text], respectively, the observed cosmological constant and the Ricci curvature. This prescription rules out models which do not pass the aforementioned [Formula: see text] limit.

Exploring the Role of Complexity, Content and Individual Differences in Aesthetic Reactions to Semi-Abstract Art Photographs

2020 ◽  
Vol 8 (1) ◽  
pp. 89-119
Author(s):  
Nathalie Vissers ◽  
Pieter Moors ◽  
Dominique Genin ◽  
Johan Wagemans
Keyword(s):  
Large Scale ◽  
A Priori ◽  
Data Driven ◽  
Future Research ◽  
Response Patterns ◽  
Online Study ◽  
Exploratory Data ◽  
Science Collaboration ◽  
Set Up ◽  
Different Response

Artistic photography is an interesting, but often overlooked, medium within the field of empirical aesthetics. Grounded in an art–science collaboration with art photographer Dominique Genin, this project focused on the relationship between the complexity of a photograph and its aesthetic appeal (beauty, pleasantness, interest). An artistic series of 24 semi-abstract photographs that play with multiple layers, recognisability vs unrecognizability and complexity was specifically created and selected for the project. A large-scale online study with a broad range of individuals (n = 453, varying in age, gender and art expertise) was set up. Exploratory data-driven analyses revealed two clusters of individuals, who responded differently to the photographs. Despite the semi-abstract nature of the photographs, differences seemed to be driven more consistently by the ‘content’ of the photograph than by its complexity levels. No consistent differences were found between clusters in age, gender or art expertise. Together, these results highlight the importance of exploratory, data-driven work in empirical aesthetics to complement and nuance findings from hypotheses-driven studies, as they allow to go further than a priori assumptions, to explore underlying clusters of participants with different response patterns, and to point towards new venues for future research. Data and code for the analyses reported in this article can be found at https://osf.io/2fws6/.

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