JournalQ3Generative AISimulation

Framework for Assisted Knowledge Management Practices Using Large Language Models: Preliminary Findings

Khalid, M. N. A. and Kamarudin, Nazhatul Hafizah and Virgiyanti, Wiwied and Thurasamy, Ramayah

Asia-Pacific Journal of Information Technology and Multimedia · vol. 14 · 2025

∗ first author

Interactive demo

Agentic content generation · genetic + critic

DEMO

This interactive is a faithful re-design of the research, simplified for illustrative and teaching purposes. It conveys the idea and behaviour of the model — it is not the paper’s full method, data, or results.

Open the full simulation →

A looping preview of agentic procedural content generation: a genetic loop with generator and critic agents evolves a rough draft into a well-formed role-playing quest, matching a target difficulty arc.

Chicago citation

Khalid, M. N. A. and Kamarudin, Nazhatul Hafizah and Virgiyanti, Wiwied and Thurasamy, Ramayah. “Framework for Assisted Knowledge Management Practices Using Large Language Models: Preliminary Findings.” Asia-Pacific Journal of Information Technology and Multimedia 14 (2025). https://doi.org/10.17576/apjitm-2025-1402-05

BibTeX

@article{khalid2025framework,
  author  = {Khalid, M. N. A. and Kamarudin, Nazhatul Hafizah and Virgiyanti, Wiwied and Thurasamy, Ramayah},
  title   = {Framework for Assisted Knowledge Management Practices Using Large Language Models: Preliminary Findings},
  journal = {Asia-Pacific Journal of Information Technology and Multimedia},
  volume  = {14},
  year    = {2025},
  doi     = {10.17576/apjitm-2025-1402-05},
}