generative ai

Minimum Ramsey numbers for graphs with a prescribed number of edges

For graphs A and B, the Ramsey number R(A, B) is the least N such that every red–blue colouring of the edges of KN contains a red A or a blue B. Write ρ(m) for the minimum of R(K3, G) over all finite simple graphs G with exactly m edges, with no connectedness assumption. Theorem. There is an absolute constant c > 0 suc...

Continuity Across Operations in Persistent Object Worlds

English This technical report studies how object identity, original decision bases, and unfinished effects retain explicit inheritance relationships across changes in computational resolution, clean pause and resume, and history branching in persistent multiagent object simulations. A Python reference prototype specifi...

Set‑Generative AI: Braid Dynamics and Learning Phases

This paper presents a set‑generative AI model where braid dynamics on four‑component states produce distinct learning phases. The framework integrates double figure‑eight generation, non‑commutative propagation, and spectral regimes enabling coordination, pruning, exploration, and chaotic behavior.

Configurational pathways of tourists' willingness to use generative AI in the context of AI empowerment

Set‑Generative AI: Braid Dynamics and Learning Phases

This paper presents a set‑generative AI model where braid dynamics on four‑component states produce distinct learning phases. The framework integrates double figure‑eight generation, non‑commutative propagation, and spectral regimes enabling coordination, pruning, exploration, and chaotic behavior.

Continuity Across Operations in Persistent Object Worlds

English This technical report studies how object identity, original decision bases, and unfinished effects retain explicit inheritance relationships across changes in computational resolution, clean pause and resume, and history branching in persistent multiagent object simulations. A Python reference prototype specifi...

Leveraging prompt-driven generative AI for systematic reviews in digital psychiatry: A stage-matched comparative proof-of-concept for healthcare researchers and clinicians

The scale and pace of evidence generation in digital psychiatry increasingly exceed the capacity of traditional systematic literature review (SLR) methods. Large language models (LLMs) are gaining traction in evidence synthesis, yet limited guidance exists for integrating generative AI into transparent, reproducible SL...

Correlation Witnesses versus Magic: A k-Resolved Nonstabilizerness Map for SU(2)_k Anyon Fusion Spaces

Standard correlation witnesses — spatial Bell/CHSH inequalities, temporal Leggett–Garg K₃, and KCBS contextuality — are known to detect nonstabilizerness ("magic") in some settings. We report a worked example, a k-resolved nonstabilizerness map of the SU(2)_k anyon braid-representation family, in which a standard tempo...

Bell Algebra without Bell Violation: CHSH Operators for Ising Anyons in the Kitaev Honeycomb Model

We construct four spatially separated Majorana zero modes (MZMs) per party on a finite Kitaev honeycomb lattice in its non-Abelian phase, bound to well-separated Ising vortices, and use them to realize a local, noncommuting CHSH measurement algebra. Two static fusion-parity observables per party, Z_A=iγ_{A,1}γ_{A,2} an...

Bell Algebra without Bell Violation: CHSH Operators for Ising Anyons in the Kitaev Honeycomb Model

We construct four spatially separated Majorana zero modes (MZMs) per party on a finite Kitaev honeycomb lattice in its non-Abelian phase, bound to well-separated Ising vortices, and use them to realize a local, noncommuting CHSH measurement algebra. Two static fusion-parity observables per party, Z_A=iγ_{A,1}γ_{A,2} an...

A Simple Technology of Thesaurus Design in Partnership with Artificial Intelligence. Part 1: A Practical Guide and Case Studies for Educators

This preprint describes a methodological framework IPRO-Dialogue (Integrated Pragmatic Regulation and Ontology of Dialogue) for integrating generative Artificial Intelligence into modern lesson planning and curriculum design. Moving away from passive use of AI, this article presents a structured methodology for collabo...

Development and validation of the generative AI assessment literacy scale for higher education students: psychometric evidence and associations with feedback engagement and academic integrity

The GAA-LS provides a psychometrically supported instrument for assessing students’ assessment-specific capacity to use GenAI responsibly within assessment contexts and contributes to applied measurement, feedback design, and academic integrity policy in AI-supported higher education.