The impact of varying resources available to Iterated Prisoner's Dilemma agents
Bibliographic record
Abstract
The Iterated Prisoner's Dilemma is a simultaneous two-player game widely used in studies on cooperation and conflict. Past work has shown that the choice of representation of evolving agents has a dominant impact on their behavior. In this study we also examine the impact of varying available resources. A variety of different resources can be varied, including amount and type of past information available to agents, number of neurons in a neural net, number of probability levels available to encode a probabilistic strategy, and number of states in a finite state machine. All these resources are shown to have an impact on the character of evolved agents assessed using both play profiles and a total score measure. Play profiles bin the ranges of score space while total score is a global assessment of the type of play that occurs over the course of evolution. The largest effect is found for the probabilistic agents, followed by finite state agents, lookup tables, and finally neural nets exhibit the least effect.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".