
Complete episode-level outputs for all simulation sweeps used in the thesis "Autonomous Drone Decision-Making: Micro-Decisions, Meaningful Human Control, and Governance toward 2035". This dataset contains:- All 24,330+ episode JSON files, compressed into streaming-friendly .jsonl.gz blocks (organized by sweep)- Aggregated CSV files (sim_aggregates_FINAL.csv with 24k episodes × 45 metrics/config columns)- Log files per sweep (compressed)- Sample JSON files for quick inspection- Complete manifest and checksums for integrity verification Episodes are provided as compressed JSONL blocks (~10,000 episodes per block) for efficient download and streaming. Each sweep (A_MHC_core_max, B_HITL_max, C_ROE_operational, C_ROE_named, D_hostiles_max, E_world_max) is organized in separate directories. For quick analyses, use the aggregated CSV files. For episode-level analyses, extract and process the .jsonl.gz blocks. Total size: ~1.0 GB (compressed).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
