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2,658 papers
This chapter traces the emergence of a new computational paradigm shaped by advances in neural networks, generative models, and multimodal intelligence. It outlines the evolution from expert systems – rule-based and deterministic – to adaptive learning systems capable of inference and creativity. The rise of architectu...
The Pedagogical Agent Toolkit (PATK) is introduced, an extendable and modular toolkit with AI-based features with the purpose of expanding novice designer agency and opportunity in the creation and customization of PAs.
This work presents vilaw-bench, a novel evaluation benchmark tailored for Vietnamese statute-based legal reasoning that assesses cognitive abilities from basic knowledge retrieval to complex legal interpretation, and proposes a multi-stage training framework that progressively builds legal expertise through four phases...
This study examines how AI-generated children’s stories produced by large language models (LLMs, e.g., ChatGPT) reflect and reproduce social biases in the social representations of intelligence across gender, racial identity, socioeconomic status, and educational level. We ask three questions: (1) how these narratives...
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This paper develops a cognitive and hermeneutic theory of resonance in long-form human–AI interaction. Resonance is described as an emergent interpretive phenomenon in dialogue, arising from shifts in perceptual loops, schema flexibility, interpretive registers, and meaning structures. The theory outlines how sustained...
Replication Package The package contains the datasets, source code, validation results, and generated outputs used throughout the study. It enables researchers to reproduce the literature review, data extraction, coding, validation, and analysis procedures reported in the paper. Note: All the hyperlinks referring to th...
This work introduces model-generated consciousness attribution as an object of empirical operationalization and diagnosis, defining an attribution rule as the recurring relationship between features of a target and an evaluator’s ratings, without implying subjective belief, intention, or experience.
Plant taxonomic knowledge contains a long tail of infrequently encountered names, diagnostic characters, and nomenclatural decisions, yet model reliability across this distribution remains unclear. We developed the Chinese-language PTTB-600, comprising 200 general, 300 ordinary specialized, and 100 long-tail fill-in qu...
Urban planners are increasingly using Large Language Models (LLMs) to draft project appraisals, raising the question of whether such systems can act as independent evaluators. Here we test this question on two contested urban regeneration projects in Greece: Hellinikon in Athens and TIF-HELEXPO in Thessaloniki. A valid...
This body of work develops a unified relational ontology of form that reinterprets metaphysics, physics, biology, and AI as different expressions of the same underlying problem: how stable forms emerge, persist, and transform within a world constituted not by independent objects, but by relations. Beginning with the fo...
Gödel's incompleteness theorem and Turing's halting problem are conventionally read as fundamental limits of formal reason. We argue the opposite: they are not limits of reason, but the cost of practicing reason context-free. Incompleteness (Gödel), the undecidability of semantic properties (Rice), the undefinability o...
Large Language Models as Implicit Classifiers in Predictive Maintenance: A Diagnostic Study on Turbofan Remaining Useful Life
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