The am_motivating_example.zip archive contains the following files:

- am_motivating_example\running_example_log_32cases.csv - the subset of the motivating example log with 32cases
- am_motivating_example\running_example_log_1024cases.csv - the full motivating example log containig  1024 cases (including the 32cases subset above)
- am_motivating_example\motivating_example_eval_summary_32model_32log.xlsx - SOA and AM results summary for evaluating the 32case models and 32case logs
- am_motivating_example\motivating_example_eval_summary_32model_1024log.xlsx - SOA and AM results summary for evaluating the 32case models and 1024case logs
- am_motivating_example\aol100\_no_clustering_\SOA_100_IMf_fsp\* - model files generated by multiple runs of the State-Of-the-Art (SOA) Inductive Miner part of the evaluation pipeline
- am_motivating_example\aol100\a1a2a3\AM_100_IMf_fsp\* - model files generated by multiple runs of the Agent Miner (AM) Inductive Miner part of the evaluation evaluation pipeline
- am_motivating_example\code\* - the Agent Miner source code used to generate the presented evaluation models and results.

To re-produce the results:
1. Install the Agent Miner software as described in the .\am_motivating_example\code\README.txt
2. Create a working folder (for example .\work)
3. Unzip the am_motivating_example.zip archive into .\work\am_motivating_example
4. Copy all Agent Miner python files from .\work\am_motivating_example\code to .\work
5. Make .\work the current folder
6. Run the python script .\work\motivating_example_pipeline.py