index / JiriNohejl/cda-abm-ai-agents
cda-abm-ai-agents
Replicating Gode & Sunder (1993) Continuous Double Auction with TypeSafe AI Jev agents. Compares canonical ZI-C heuristics against stochastic choice AI Jev brains. Results led to compressing price variance by 43% while matching 97% allocative efficiency. Includes real-time web interface & Jupyter Notebook econometrics.
Research and EvalsControl LoopListedJupyter Notebook
Repository
Stars0
LanguageJupyter Notebook
LicenseMIT
Created2026-10-02
Last pushed2026-10-02
Officialno
Judgment
Genuine Jev project0.81
gate 0.5
Uses Jev at runtime0.78
Is a meta list0.03
Is a reimplementation0.19
Quality scales
Substance1.99 / 3
gate 0.5
Docs2.55 / 3
Novelty1.99 / 3
Composite score0.71
Category distribution
Research and Evals0.99
Games and Simulation0.01
Other0.00
SDKs and Clients0.00
Agent and Dev Tooling0.00
Applications0.00
Learning0.00
Integrations0.00
Assigned categoryResearch and Evals
Category probability0.99
Category confidence0.99
PatternControl Loop
Pattern confidence0.54
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:"typesafe.ai"
- search:jev in:name,description,readme created:2026-10-02
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-10-03 11:04 UTC