Posthoc: A Visualisation Framework for Understanding Search

WINNER: Best System Demonstration at ICAPS 2024.
Kevin Zheng, Daniel Harabor and Michael Wybrow. 2024. Posthoc: A Visualisation Framework for Understanding Search. System Demonstration Track at the 34th International Conference on Planning and Scheduling (ICAPS 2024). icaps24.icaps-...
Speaker: Kevin Zheng.
In this work we present Posthoc (posthoc.pathfi...), a debugging and visualisation framework that helps users better understand how search algorithms work. Posthoc takes as input search traces, human-readable output logs produced by an algorithmic problem solving program. The logs are are used for subsequent playback, analysis and visualisation. Our system does not depend on any specific type of visualisation nor any particular decision-making schema. Being independent, Posthoc readily complements new and existing solvers: for AI planning, pathfinding, and heuristic search, and it can be integrated as a complementary problem-solving tool alongside.
Paper:
harabor.net/dat...
Citation (bibtex):
harabor.net/dat...

[@thebrickccentric3728]

Neat! Looks useful, I'll have to try it out