Hasil untuk "Philosophy"

K. Marx

M. Gagarin, M. Nussbaum

H. Fain, C. Hempel

P. Frank, R. Cohen, M. Wartofsky

F. Nietzsche

E. Hirschman

Andrew Collier

A. Gelman, C. Shalizi

A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics. We argue that the most successful forms of Bayesian statistics do not actually support that particular philosophy but rather accord much better with sophisticated forms of hypothetico-deductivism. We examine the actual role played by prior distributions in Bayesian models, and the crucial aspects of model checking and model revision, which fall outside the scope of Bayesian confirmation theory. We draw on the literature on the consistency of Bayesian updating and also on our experience of applied work in social science. Clarity about these matters should benefit not just philosophy of science, but also statistical practice. At best, the inductivist view has encouraged researchers to fit and compare models without checking them; at worst, theorists have actively discouraged practitioners from performing model checking because it does not fit into their framework.

Elizabeth S. Haldane

Raymond Geuss

Many contemporary political thinkers are gripped by the belief that their task is to develop an ideal theory of rights or justice for guiding and judging political actions. But in Philosophy and Real Politics, Raymond Geuss argues that philosophers should first try to understand why real political actors behave as they actually do. Far from being applied ethics, politics is a skill that allows people to survive and pursue their goals. To understand politics is to understand the powers, motives, and concepts that people have and that shape how they deal with the problems they face in their particular historical situations.Philosophy and Real Politics both outlines a historically oriented, realistic political philosophy and criticizes liberal political philosophies based on abstract conceptions of rights and justice. The book is a trenchant critique of established ways of thought and a provocative call for change.

H. H. Williams

A. Badiou, S. Žižek, P. Engelmann et al.

P. Maddy

what exactly are these logical This essay is the text of a retiring presidential address to the Association for Symbolic Logic. For a number of historical and sociological reasons, the largely mathematical membership of the Association is aware of the three great schools in the philosophy of mathematics at the turn of the 20th century—Platonism, Formalism, and Intuitionism—but unfamiliar with any school of thought in the philosophy of logic. This address was an effort to introduce the range of philosophical views about logic by rough analogy with the big three about mathematics. Along the way, it sketches the positions of Kant, the 19th-century German scientific materialists, Frege, Mill, early Wittgenstein, Carnap, Ayer, Quine, and Putnam, with gestures toward Descartes, Bolzano, and Russell, and ends with a second-philosophical alternative.

Pedro G. Ferreira, William J. Wolf, James Read

The scientific status of physical cosmology has been the subject of philosophical debate ever since detailed mathematical models of the Universe emerged from Einstein's general theory of relativity. Such debates have revolved around whether and to what extent cosmology meets established demarcation criteria for a discipline to be scientific, as well as determining how to best characterize cosmology as a science, given the unique challenges and limitations faced by a discipline which aims to study the origin, composition, and fate of the Universe itself. The present article revisits, in light of the dramatic progress in cosmology in recent decades, an earlier debate held in the 1950s between Herman Bondi and Gerald Whitrow regarding the scientific status of cosmology. We analyse cosmology's transition from an emerging science to a cornerstone of modern physics, highlighting its empirical successes in establishing the $Λ$-Cold Dark Matter ($Λ$CDM) model and in its delivery of various successful novel predictions. Despite this remarkable scientific success and progress, we argue that modern cosmology faces a further profound challenge: the permanent underdetermination of the microphysical nature of its exotic energy components: inflation, dark matter, and dark energy. Drawing historical parallels with the role of spectroscopy in revealing the microphysical nature of atomic physics, we argue that the epistemic barriers obstructing us from ascertaining the microphysical nature of these exotic energy components are significant, in turn casting doubt upon whether cosmology can ever transcend these particular epistemic challenges. We conclude by reflecting on the prospects for future breakthroughs and/or non-empirical arguments which could decide this issue conclusively.

Yildiz Culcu

Machine learning models increasingly function as representational systems, yet the philosoph- ical assumptions underlying their internal structures remain largely unexamined. This paper develops a structuralist decision framework for classifying the implicit ontological commitments made in machine learning research on neural network representations. Using a modified PRISMA protocol, a systematic review of the last two decades of literature on representation learning and interpretability is conducted. Five influential papers are analysed through three hierarchical criteria derived from structuralist philosophy of science: entity elimination, source of structure, and mode of existence. The results reveal a pronounced tendency toward structural idealism, where learned representations are treated as model-dependent constructions shaped by architec- ture, data priors, and training dynamics. Eliminative and non-eliminative structuralist stances appear selectively, while structural realism is notably absent. The proposed framework clarifies conceptual tensions in debates on interpretability, emergence, and epistemic trust in machine learning, and offers a rigorous foundation for future interdisciplinary work between philosophy of science and machine learning.

Dennis Müller

This paper proposes critical pragmatism as a philosophy of sustainable mathematics education to bridge the gap between critical theory and the existing patchwork implementations. Combining existential sustainability as a holistic concept with pragmatic frameworks from the ethics in mathematics education literature creates a foundation enabling critical reflection and pragmatic implementation. We outline how their synthesis naturally leads to a three-stage implementation strategy: cultivating an ethical classroom culture, engaging with ethnomathematics, and tackling complex sustainability problems. Our critical pragmatic approach attempts to build a new philosophical perspective to equip teachers and students with the mathematical competencies, critical perspectives, and ethical grounding necessary to navigate and contribute to a sustainable future and to provide new analytic pathways.

Jr. Armstrong

M. Marder

Yisheng Yang, Sim Kuan Goh, Qing Cai et al.

Drawing inspiration from the philosophy of Yi Jing, the Yin-Yang pair optimization (YYPO) algorithm has been shown to achieve competitive performance in single objective optimizations, in addition to the advantage of low time complexity when compared to other population-based meta-heuristics. Building upon a reversal concept in Yi Jing, we propose the novel Yi optimization (YI) algorithm. Specifically, we enhance the Yin-Yang pair in YYPO with a proposed Yi-point, in which we use Cauchy flight to update the solution, by implementing both the harmony and reversal concept of Yi Jing. The proposed Yi-point balances both the effort of exploration and exploitation in the optimization process. To examine YI, we use the IEEE CEC 2017 benchmarks and compare YI against the dynamical YYPO, CV1.0 optimizer, and four classical optimizers, i.e., the differential evolution, the genetic algorithm, the particle swarm optimization, and the simulated annealing. According to the experimental results, YI shows highly competitive performance while keeping the low time complexity. The results of this work have implications for enhancing a meta-heuristic optimizer using the philosophy of Yi Jing. While this work implements only certain aspects of Yi Jing, we envisage enhanced performance by incorporating other aspects.

Andre Ye

Vision is an important metaphor in ethical and political questions of knowledge. The feminist philosopher Donna Haraway points out the ``perverse'' nature of an intrusive, alienating, all-seeing vision (to which we might cry out ``stop looking at me!''), but also encourages us to embrace the embodied nature of sight and its promises for genuinely situated knowledge. Current technologies of machine vision -- surveillance cameras, drones (for war or recreation), iPhone cameras -- are usually construed as instances of the former rather than the latter, and for good reasons. However, although in no way attempting to diminish the real suffering these technologies have brought about in the world, I make the case for understanding technologies of computer vision as material instances of embodied seeing and situated knowing. Furthermore, borrowing from Iris Murdoch's concept of moral vision, I suggest that these technologies direct our labor towards self-reflection in ethically significant ways. My approach draws upon paradigms in computer vision research, phenomenology, and feminist epistemology. Ultimately, this essay is an argument for directing more philosophical attention from merely criticizing technologies of vision as ethically deficient towards embracing them as complex, methodologically and epistemologically important objects.