Pythia AI

Pythia interacts with human subject matter experts to elicit their knowledge and understanding. 

Pythia iteratively develops and evolves the ontology that it subsequently uses to derive the subject matter knowledge graph from the subject matters experts and associated corpus of text.

Pythia Conference Papers:

Accepted for publication and oral presentation at the International Astronautical Congress 2024:

'Pythia - An LLM-driven automated platform that uses established consensus-building techniques to capture and synthesise the wisdom of a panel of renowned authorities on space engineering' (Kenyon & Gough Kenyon, 2024).

Two papers accepted for publication and oral presentation at the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) 2024:

1. 'Human-Machine Partnerships for Dynamic Ontological Structuring of Knowledge' (Kenyon, S.R., Wang, Z., Ahmad, I., & Wang, K.) 

Starbound and Griffith University Collaboration.


2.'Requirements Engineering using Knowledge-Augmented LLMs' (Arora, C., & Kenyon, S.R.)

Starbound and Monash University Collaboration.