Skip to content

Category

large language models

2,160 papers

#natural language process... Open access Sep 2026

The Liminal Ontology: A New Framework for Consciousness, Identity, and the So-Called Supernatural

This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations
#climate science Open access Aug 2026

Does Scientific Explanation Depend on Narrative Coherence?

This paper critically examines the long-standing question of whether scientific explanation depends on narrative coherence. While traditional philosophy of science has largely marginalized the role of narrative, this paper argues that narrative coherence is not merely a rhetorical or pedagogical tool, but a fundamental...

Kwan Hong TAN · 0 citations
#climate science Open access Aug 2026

Does Scientific Explanation Depend on Narrative Coherence?

This paper critically examines the long-standing question of whether scientific explanation depends on narrative coherence. While traditional philosophy of science has largely marginalized the role of narrative, this paper argues that narrative coherence is not merely a rhetorical or pedagogical tool, but a fundamental...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

Are Digital Commons the Future of Political Organization? A Critical Analysis of Post-Capitalist Governance

This paper critically examines the proposition that digital commons represent the future of political organization. Moving beyond utopian proclamations, it offers a rigorous analysis grounded in political theory, empirical evidence, and novel theoretical perspectives. The paper begins by synthesizing foundational frame...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

Are Digital Commons the Future of Political Organization? A Critical Analysis of Post-Capitalist Governance

This paper critically examines the proposition that digital commons represent the future of political organization. Moving beyond utopian proclamations, it offers a rigorous analysis grounded in political theory, empirical evidence, and novel theoretical perspectives. The paper begins by synthesizing foundational frame...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

Gold Price Projections Under Macro-Financial Regime Uncertainty: A Structural Scenario Model for 2026-2030

Gold entered the second half of 2026 in an unusually unstable regime. The metal reached an LBMA benchmark high above US 5,500/oz in January, fell below US 4,000/oz in June, and rebounded to US 4,336.02/oz on 7 August after a weak U.S. employment report altered the expected interest-rate path. This paper develops an ori...

Kwan Hong TAN · 0 citations

From tech blogs

See all →

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.