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Getting Started

BDPD (Be Different Play Differential) is a computational laboratory for studying commons dynamics. It investigates how the Seneca Effect (asymmetric collapse), the Tragedy of the Commons (resource depletion under competition), and wealth inequality interact in socio-ecological systems.

Existing models study these phenomena in isolation. BDPD provides a unified testbed where they can be examined together — enabling questions about discontinuous collapse thresholds, the unintended consequences of adaptive behaviour, the role of information fidelity, and the structural fragility of cooperative equilibria.


Two Instruments

BDPD offers two complementary ways to explore the same dynamics:

BDPD Platform The Forest of Humbaba
Type Multi-agent simulation engine Physical/digital card game
Tech Node.js + Python Python + printable cards
Agents 5 built-in heuristics + code sandbox + HTTP/LLM 4 human/LLM-playable archetypes
Resource Logistic or Seneca (Bardi 2011) commons Hidden forest stock + stochastic die
Best for Systematic parameter sweeps, statistical analysis Behavioural validation, human intuition, LLM case studies

The card game reimplements every core platform mechanic — harvesting, regeneration, stochastic collapse, strategic externalities, and defection — in a turn-based tabletop format. The mapping is exact: what happens in the platform has a direct analogue in the card game, and vice versa.


Who Is This For?

  • Researchers in complex systems, CPR governance, and agent-based modelling
  • Game designers exploring mechanics that model real-world resource dilemmas
  • LLM/AI researchers studying emergent behaviour of generative agents in strategic settings
  • Educators teaching commons dynamics through playable, tangible models

Where to Go Next

If you want to... Read this
Install and run BDPD Installation
Run your first simulation Design an Experiment
Play with an LLM or your own agent Play with an AI
Plug in custom dynamics, metrics, perturbations Extend the Engine
Understand the card game First Card Game
Learn the platform architecture Platform Overview
Read the research paper Publications