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Posthoc

Create simple and effective visualisations from logs to help you understand search

https://posthoc.pathfinding.ai

Contributors

We present Posthoc, 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.

Screenshots

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Best system demonstration at ICAPS24

We’re so excited to announce that Posthoc has won the best system demonstration award at The 34th International Conference on Automated Planning and Scheduling. Check out the demo video we produced for this conference.

Student research projects

Summer research 2024

We’re looking for students to take part in Monash summer vacation research scholarships 2024. You’ll spend twelve weeks working with the team to design and implement features for Posthoc.

  • Applications open: Monday 5 August 2024 (12AM AEST)
  • Applications close: Friday 30 August 2024 (5PM AEST)
  • Notice of outcome: Mid to late October

If you’re interested, apply here.

Publications