Automated README summary
Automatically summarized from the README on 2 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
An agent-based computational economics testbed replicating Gode & Sunder (1993) Continuous Double Auction. Compares canonical ZI-C traders against cognitive Jev AI agents under identical Poisson arrivals and supply/demand fundamentals, with a web interface and econometrics notebook.
How it uses Jev
Jev AI agents use Score and Choice primitives to select among four order-book archetypes: Aggressive Taker, Queue Competitor, Passive Maker, or Deep Discount. Decisions are cached by LOB delta and pre-filtered for submarginal valuations, then used to place bids/asks in the Mesa auction engine.
Primitives:choicescore
Technique worth stealing
Zero-token pre-filtering and LOB delta-caching to reduce AI calls while preserving market behavior.
Try it
pip install -r requirements.txt && python web_app.py, then open http://localhost:8000
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.74
- Shows a System One patternnot found in the excerpt0.15
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersFound in material0.87
- Is a runnable toolnot found in the excerpt0.13
- Top-10 learning shortlist signalunclear0.42
- Is a replica of the modelnot found in the excerpt0.16
- Solves a common problem (0–2)score on a 0–2 scale0.55 / 2
- About JevFound in material0.97
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 2 Oct 2026.