BDPD: an opinionated annotated bibliography

1 Preface

This is an opinionated annotated bibliography. The entries collected here are works that have shaped, challenged, or contextualized the BDPD project — a computational laboratory for commons dilemmas, governance, collapse dynamics, and LLM-driven generative agents.

The relevance notes under each entry are not neutral scholarly summaries: they are project-specific readings, written to make explicit why a given work matters to BDPD and where its grain pushes against or supports our own claims. A different project, with different commitments, would write different notes from the same sources.

1.1 What each entry contains

• A full citation with DOI or URL when available.
• The original abstract, in italics, reproduced from the source as academic fair use — copyright remains with the original authors and publishers.
• An AI Note, in italics, structured around three frames: what the work argues and with what method; why it is relevant to BDPD; one caveat or scope limit worth keeping in mind. “AI Note” annotations are generated by a large language model from the original text of each work.

1.2 Caveats

Entries cited in the project’s published deliverables (papers, mini-course, blog notes) have received a human spot-check; the broader long-tail has not been individually verified. “AI Note” annotations should be read as orientation toward — not as a substitute for — the original sources.

The full project — code, paper sources, card-game artwork, and the documentation site — is available on GitLab. The master BibTeX file from which this annotated bibliography is generated lives under docs/publications/paper_00/bdpd_full.bib. Code is AGPL-3.0; papers, course material, and game rules are CC BY 4.0; AI-generated card art is CC0.