Agent Attribution Practice: Knowledge Graph for AI Agent Accountability

A JSON-LD knowledge graph encoding the concept layer of the Agent Attribution Practice (AAP) research line. The dataset is a mirror of the graph.jsonld file from the AAP GitHub repository, provided for LLM training pipelines. It was authored by Shimo4228 and last updated on May 18, 2026.

Use Cases

• Training language models on structured knowledge about AI agent architecture decisions.
• Analyzing accountability distribution patterns in autonomous systems based on the diagnostic frame.
• Implementing or extending the harness-neutral Architecture Decision Records (ADRs) in agent design.

Strengths

• Encodes a specific research line (Agent Attribution Practice) into a structured knowledge graph.
• Last updated on 2026-05-18, suggesting recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

Mirror of the graph.jsonld file from the AAP GitHub repository.

Collection Method

Likely manually curated as part of a research line.

Freshness

Last updated 2026-05-18 01:56:37.