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Consola de investigación DAO
Gestiona ejecuciones de experimentos, revisa resultados, genera informes y actualiza artefactos del artículo. Todas las acciones se ejecutan localmente y escriben registros en el directorio de resultados.
Pre-configured experiment launchers for common research tasks.
Selecciona un archivo de configuración para iniciar o reanudar una ejecución por lotes.
Genera informes de calidad investigativa a partir de resultados existentes.
Actualiza el artículo académico con los últimos resultados, compila PDFs y archiva versiones.
| Path | Name | Description | Sweep | Tags |
|---|---|---|---|---|
| experiments/academic-metrics-suite.yaml | Academic Metrics Suite | Comprehensive metric collection for academic DAO governance research | governance_config.quorumPercentage | academic, comprehensive, governance, metrics |
| experiments/all-agents-test.yaml | All Agents Learning Test | Quick test to verify all agent types are working with Q-learning | - | test, learning, all-agents |
| experiments/counterfactual/optimism-governance.yaml | Optimism Governance Rule Comparison | - | - | - |
| experiments/dao-scale.yaml | DAO Scale Effects | Study how governance changes with organization size | population.totalMembers | - |
| experiments/example.yaml | Simple Example Experiment | Basic test of the experiment runner with Compound-style governance | - | example, compound, basic |
| experiments/paper/00-academic-baseline.yaml | Academic Baseline | Canonical baseline configuration for paper reporting. | - | paper, baseline, academic |
| experiments/paper/00-realistic-baseline.yaml | Realistic Baseline | Calibrated Compound digital twin baseline grounded in empirical on-chain and forum data. Uses the calibration pipeline to derive voting activity, proposal frequency, participation rates, oracle pricing, forum dynamics, and governance tuning from the Compound calibration profile (results/historical/calibration/compound_profile.json). | - | paper, baseline, realistic, calibration, digital-twin, compound |
| experiments/paper/01-calibration-participation.yaml | Calibration - Participation Dynamics | Sweep participation levers to calibrate engagement to empirical targets. | - | paper, calibration, participation |
| experiments/paper/02-ablation-governance.yaml | Ablation - Governance Mechanisms | Disable key mechanisms to estimate their causal impact. | - | paper, ablation, governance |
| experiments/paper/03-sensitivity-quorum.yaml | Sensitivity - Quorum Threshold | Quorum sweep to characterize decision legitimacy vs throughput. | governance_config.quorumPercentage | paper, sensitivity, quorum |
| experiments/paper/04-governance-capture-mitigations.yaml | Governance Capture Mitigations | Sweep vote power mitigations to quantify capture resistance vs throughput. | - | paper, governance, capture, mitigations |
| experiments/paper/05-proposal-pipeline.yaml | Proposal Pipeline Effects | Vary temp-check duration and fast-track rules to assess pipeline impact. | - | paper, proposals, pipeline, temp-check |
| experiments/paper/06-treasury-resilience.yaml | Treasury Resilience | Evaluate treasury stabilization policies under identical governance loads. | - | paper, treasury, resilience |
| experiments/paper/07-inter-dao-cooperation.yaml | Inter-DAO Cooperation | Study inter-DAO proposal success under governance and treasury asymmetries. | - | paper, multi-dao, inter-dao, cooperation |
| experiments/paper/08-scale-sweep.yaml | Scale Sweep | Sweeps DAO size to measure participation decay, delegate concentration, and whale influence (RQ2). | population.totalMembers | paper, scale, participation, rq2 |
| experiments/paper/09-voting-mechanisms.yaml | Voting Mechanism Comparison | Compares majority, quadratic, and conviction voting across quorum levels (RQ3). | - | paper, voting, mechanisms, rq3 |
| experiments/paper/10-calibration-validation.yaml | Calibration Validation | Validates that calibrated digital twins reproduce historical DAO dynamics. Runs backtests for representative DAOs comparing simulated metrics (proposal frequency, pass rate, participation, price trajectory) against historical calibration profiles. | calibration_dao_id | paper, calibration, validation, digital-twins |
| experiments/paper/11-advanced-mechanisms.yaml | Advanced Voting Mechanisms | Compares ranked-choice (IRV), futarchy (prediction markets), enhanced liquid democracy, and majority baseline (RQ3b). | - | paper, voting, mechanisms, ranked-choice, futarchy, liquid-democracy, rq3 |
| experiments/paper/12-llm-agent-reasoning.yaml | LLM Agent Reasoning (Small Models) | Compares governance outcomes across rule-based, hybrid, all-LLM, and hybrid-with-reporter modes using three small LLMs (qwen3:4b, llama3.2:3b, gemma3:4b). Tests whether small models can meaningfully improve governance quality over rule-based agents. | - | paper, llm, governance, small-models |
| experiments/paper/12b-llm-big-models.yaml | LLM Agent Reasoning (Big Models) | Compares governance outcomes across rule-based, hybrid, all-LLM, and hybrid-with-reporter modes using three big LLMs (qwen3:8b, llama3.1:latest, gemma3:12b). Paired with experiment 12 (small models) to measure the effect of model scale on governance quality. | - | paper, llm, governance, big-models |
| experiments/paper/13-cross-dao-governance-comparison.yaml | Cross-DAO Governance Comparison | Runs all 14 calibrated DAO digital twins under 4 alternative governance rules (majority, quadratic, conviction, tokenquorum) to identify universal vs DAO-specific governance effects. Each DAO uses its calibrated agent distribution, forum dynamics, and oracle parameters so that governance rule changes are the only independent variable. The grid produces 56 configurations (14 DAOs x 4 rules) enabling both within-DAO and across-DAO comparisons. | - | paper, governance, cross-dao, counterfactual |
| experiments/paper/14-black-swan-resilience.yaml | Black Swan Resilience | Compares governance mechanism resilience under varying intensities of exogenous shocks (exploits, regulatory events, trust collapses, etc.). Tests whether super-majority or conviction voting provides better stability than simple majority during crises. | - | paper, black-swan, resilience, governance |
| experiments/paper/15-counterfactual-expansion.yaml | Counterfactual Governance Expansion (RQ7) | Comprehensive counterfactual governance analysis across all 14 calibrated DAOs. Tests what happens when each DAO switches to a different governance rule while preserving its calibrated agent dynamics. N=30 runs per configuration for statistical power with confidence intervals. | - | paper, counterfactual, governance, rq7, digital-twins, comprehensive |
| experiments/paper/16-rl-activation.yaml | RL Activation Analysis | Measures the impact of reinforcement learning on agent behavior across calibrated DAOs. Compares baseline (RL disabled) against progressive RL activation: tabular Q-learning, experience replay, shared learning, and full DQN. Tests whether RL agents converge on different governance outcomes. | - | paper, reinforcement-learning, q-learning, dqn, agent-adaptation, convergence |
| experiments/paper/17-gemma4-e4b.yaml | LLM Governance - Gemma4 E4B Enriched | Tests gemma4:e4b-it-bf16 with enriched DAO briefing prompts (~2-3K tokens giving LLMs information parity with rule-based agents). Tests disabled baseline, hybrid, all-LLM, and thinking-enabled variants. Pilot with 10 runs per config. | - | paper, llm, governance, qwen3, thinking, dao-briefing |
| experiments/paper/18-gemma4-e4b-q8.yaml | LLM Governance - Gemma4 E4B q8_0 Quantization Ablation | Quantization robustness test for experiment 17. Re-runs the same 5-config sweep (disabled / hybrid / all / hybrid+think / all+think) using gemma4:e4b-it-q8_0 instead of bf16. Validates whether the +6.7pt governance improvement from thinking mode survives 8-bit weight quantization. | - | paper, llm, governance, gemma4, thinking, dao-briefing, quantization, ablation |
| experiments/paper/18a-gemma4-q8-pilot.yaml | LLM Governance - Gemma4 E4B q8_0 Pilot (hybrid + hybrid+think) | Gated pilot for experiment 18. Tests gemma4:e4b-it-q8_0 at the two scientifically critical configs (hybrid and hybrid+thinking) to determine whether 8-bit quantization preserves the governance improvement found in experiment 17 (bf16). Uses identical baseSeed, agent mix, and sweep structure to enable direct per-config comparison. | - | paper, llm, governance, gemma4, thinking, quantization, ablation, pilot |
| experiments/paper/pipeline.config.yaml | pipeline.config.yaml | - | - | - |
| experiments/participation-study.yaml | Participation Rate Impact | Study how voter engagement affects governance quality | voting_activity | - |
| experiments/profiling/bicameral-profile-medium.yaml | Bicameral Attack Resistance (Profile Medium) | Medium profiling run for CPU hotspots | governance_config.threshold | profiling, bicameral |
| experiments/profiling/bicameral-profile.yaml | Bicameral Attack Resistance (Profile) | Short profiling run for CPU hotspots | governance_config.threshold | profiling, bicameral |
| experiments/quick-validation-suite.yaml | Quick Validation Suite | Rapid validation experiment to verify core simulation mechanics are working correctly. Tests multiple voting systems, quorum levels, and checks for reasonable metric ranges. | - | validation, quick-test, sanity-check |
| experiments/quorum-impact-study.yaml | Quorum Impact Study | Measure actual quorum impact with wider range and proper metrics | governance_config.quorumPercentage | - |
| experiments/quorum-sweep.yaml | Quorum Sensitivity Analysis | Study how varying the quorum threshold affects proposal pass rate, voter participation, and governance effectiveness. This experiment sweeps the base quorum percent from 1% to 20%. | governance_config.quorumPercentage | quorum, sensitivity-analysis, governance-design |
| experiments/research-quick/bicameral-attack-resistance.yaml | Bicameral Attack Resistance | Compare passing thresholds for attack resistance vs throughput | governance_config.threshold | research, bicameral, governance-attacks, passing-threshold, security |
| experiments/research-quick/conviction-voting-dynamics.yaml | Conviction Voting Dynamics | Study how voting period length affects outcomes and whale dominance | proposal_duration_steps | research, conviction-voting, voting-period, whale-resistance, deliberation |
| experiments/research-quick/dao-scale-effects.yaml | DAO Scale Effects | Analysis of how DAO membership size affects governance outcomes. Tests whether mechanisms that work for small DAOs scale to larger organizations. Examines coordination costs, participation rates, and power concentration at scale. | - | scale, membership-size, coordination, scalability, grid-search |
| experiments/research-quick/governance-capture-thresholds.yaml | Governance Capture Thresholds | Identify token distribution thresholds enabling governance capture | governance_config.quorumPercentage | research, plutocracy, governance-capture, token-distribution, gini |
| experiments/research-quick/governance-parameter-interactions.yaml | Governance Parameter Interactions | Comprehensive multi-parameter study examining how governance parameters interact. Real DAOs must tune multiple parameters simultaneously, and the optimal settings for one parameter depend on others. This experiment maps the full parameter space to identify: - Optimal parameter combinations for different DAO goals - Dangerous parameter combinations that enable attacks - Trade-offs between security, efficiency, and inclusivity | - | multi-parameter, grid-search, governance, parameter-interactions, comprehensive |
| experiments/research-quick/liquid-democracy-effectiveness.yaml | Liquid Democracy Effectiveness | Compare voting system types on participation and power concentration | governance_rule | research, liquid-democracy, voting-systems, participation, power-concentration |
| experiments/research-quick/multi-dao/cross-dao-market-dynamics.yaml | Cross-DAO Market Dynamics | Study how token markets create feedback loops with governance quality | - | research, multi-dao, token-markets, price-discovery, market-feedback, governance-signaling |
| experiments/research-quick/multi-dao/ecosystem-attack-resistance.yaml | Ecosystem Attack Resistance | Compare attack resilience of isolated DAOs vs interconnected ecosystems | - | research, multi-dao, attack-resistance, security, ecosystem-resilience, governance-attacks |
| experiments/research-quick/multi-dao/governance-contagion.yaml | Governance Contagion Effects | Study whether governance quality spreads between DAOs through member transfers | - | research, multi-dao, contagion, governance-diffusion, social-learning, norm-transfer |
| experiments/research-quick/multi-dao/governance-migration.yaml | Governance Migration Dynamics | Study member migration patterns between DAOs with varying governance quality | - | research, multi-dao, migration, governance-competition, member-mobility |
| experiments/research-quick/multi-dao/inter-dao-collaboration.yaml | Inter-DAO Collaboration Dynamics | Study factors that influence inter-DAO proposal success rates | - | research, multi-dao, collaboration, treaties, inter-dao-proposals, joint-ventures |
| experiments/research-quick/optimal-quorum-analysis.yaml | Optimal Quorum Analysis | Find optimal quorum thresholds balancing legitimacy against decision efficiency | governance_config.quorumPercentage | research, quorum, legitimacy, efficiency, participation |
| experiments/research-quick/quadratic-voting-robustness.yaml | Quadratic Voting Robustness | Compare voting power models for concentration and participation | governance_rule | research, quadratic-voting, voting-power, power-concentration, fairness |
| experiments/research-quick/quorum-optimization.yaml | Quorum Optimization | Fine-grained analysis of quorum thresholds from 2% to 40%. Maps the trade-off between governance legitimacy (higher quorum) and efficiency (faster decisions). Considers interaction with voting period length. | - | quorum, optimization, legitimacy, efficiency, grid-search |
| experiments/research-quick/rage-quit-dynamics.yaml | Rage Quit Dynamics | Evaluate how governance timing affects minority protection vs efficiency | proposal_duration_steps | research, minority-protection, voting-period, deliberation, exit-rights |
| experiments/research-quick/supermajority-thresholds.yaml | Supermajority Threshold Analysis | Analysis of passing threshold effects from simple majority (50%) to near-unanimity (90%). Tests the hypothesis that higher thresholds improve decision quality but reduce throughput. Examines interaction with quorum requirements. | - | supermajority, thresholds, consensus, gridlock, grid-search |
| experiments/research-quick/voting-period-dynamics.yaml | Voting Period Dynamics | Analysis of how voting period length affects participation, decision quality, and time-sensitive governance. Tests conviction voting's time-weighted advantage in longer voting periods. | - | voting-period, temporal-dynamics, conviction-voting, deliberation, grid-search |
| experiments/research-quick/voting-system-comparison.yaml | Voting System Comparison | Comprehensive comparison of voting mechanisms (simple majority, supermajority, quadratic, conviction, approval) across different quorum thresholds. Measures efficiency, participation quality, and attack resistance. | - | voting-systems, grid-search, governance-efficiency, participation |
| experiments/research-quick/whale-resistance-analysis.yaml | Whale Resistance Analysis | Systematic analysis of how different voting mechanisms resist governance capture by wealthy minorities. Tests quadratic voting's theoretical advantage in reducing whale influence compared to token-weighted alternatives. | - | whale-resistance, plutocracy, quadratic-voting, attack-resistance, grid-search |
| experiments/research/bicameral-attack-resistance.yaml | Bicameral Attack Resistance | Compare passing thresholds for attack resistance vs throughput | governance_config.threshold | research, bicameral, governance-attacks, passing-threshold, security |
| experiments/research/conviction-voting-dynamics.yaml | Conviction Voting Dynamics | Study how voting period length affects outcomes and whale dominance | proposal_duration_steps | research, conviction-voting, voting-period, whale-resistance, deliberation |
| experiments/research/dao-scale-effects.yaml | DAO Scale Effects | Analysis of how DAO membership size affects governance outcomes. Tests whether mechanisms that work for small DAOs scale to larger organizations. Examines coordination costs, participation rates, and power concentration at scale. | - | scale, membership-size, coordination, scalability, grid-search |
| experiments/research/governance-capture-thresholds.yaml | Governance Capture Thresholds | Identify token distribution thresholds enabling governance capture | governance_config.quorumPercentage | research, plutocracy, governance-capture, token-distribution, gini |
| experiments/research/governance-parameter-interactions.yaml | Governance Parameter Interactions | Comprehensive multi-parameter study examining how governance parameters interact. Real DAOs must tune multiple parameters simultaneously, and the optimal settings for one parameter depend on others. This experiment maps the full parameter space to identify: - Optimal parameter combinations for different DAO goals - Dangerous parameter combinations that enable attacks - Trade-offs between security, efficiency, and inclusivity | - | multi-parameter, grid-search, governance, parameter-interactions, comprehensive |
| experiments/research/liquid-democracy-effectiveness.yaml | Liquid Democracy Effectiveness | Compare voting system types on participation and power concentration | governance_rule | research, liquid-democracy, voting-systems, participation, power-concentration |
| experiments/research/multi-dao/cross-dao-market-dynamics.yaml | Cross-DAO Market Dynamics | Study how token markets create feedback loops with governance quality | - | research, multi-dao, token-markets, price-discovery, market-feedback, governance-signaling |
| experiments/research/multi-dao/ecosystem-attack-resistance.yaml | Ecosystem Attack Resistance | Compare attack resilience of isolated DAOs vs interconnected ecosystems | - | research, multi-dao, attack-resistance, security, ecosystem-resilience, governance-attacks |
| experiments/research/multi-dao/governance-contagion.yaml | Governance Contagion Effects | Study whether governance quality spreads between DAOs through member transfers | - | research, multi-dao, contagion, governance-diffusion, social-learning, norm-transfer |
| experiments/research/multi-dao/governance-migration.yaml | Governance Migration Dynamics | Study member migration patterns between DAOs with varying governance quality | - | research, multi-dao, migration, governance-competition, member-mobility |
| experiments/research/multi-dao/inter-dao-collaboration.yaml | Inter-DAO Collaboration Dynamics | Study factors that influence inter-DAO proposal success rates | - | research, multi-dao, collaboration, treaties, inter-dao-proposals, joint-ventures |
| experiments/research/optimal-quorum-analysis.yaml | Optimal Quorum Analysis | Find optimal quorum thresholds balancing legitimacy against decision efficiency | governance_config.quorumPercentage | research, quorum, legitimacy, efficiency, participation |
| experiments/research/quadratic-voting-robustness.yaml | Quadratic Voting Robustness | Compare voting power models for concentration and participation | governance_rule | research, quadratic-voting, voting-power, power-concentration, fairness |
| experiments/research/quorum-optimization.yaml | Quorum Optimization | Fine-grained analysis of quorum thresholds from 2% to 40%. Maps the trade-off between governance legitimacy (higher quorum) and efficiency (faster decisions). Considers interaction with voting period length. | - | quorum, optimization, legitimacy, efficiency, grid-search |
| experiments/research/rage-quit-dynamics.yaml | Rage Quit Dynamics | Evaluate how governance timing affects minority protection vs efficiency | proposal_duration_steps | research, minority-protection, voting-period, deliberation, exit-rights |
| experiments/research/supermajority-thresholds.yaml | Supermajority Threshold Analysis | Analysis of passing threshold effects from simple majority (50%) to near-unanimity (90%). Tests the hypothesis that higher thresholds improve decision quality but reduce throughput. Examines interaction with quorum requirements. | - | supermajority, thresholds, consensus, gridlock, grid-search |
| experiments/research/voting-period-dynamics.yaml | Voting Period Dynamics | Analysis of how voting period length affects participation, decision quality, and time-sensitive governance. Tests conviction voting's time-weighted advantage in longer voting periods. | - | voting-period, temporal-dynamics, conviction-voting, deliberation, grid-search |
| experiments/research/voting-system-comparison.yaml | Voting System Comparison | Comprehensive comparison of voting mechanisms (simple majority, supermajority, quadratic, conviction, approval) across different quorum thresholds. Measures efficiency, participation quality, and attack resistance. | - | voting-systems, grid-search, governance-efficiency, participation |
| experiments/research/whale-resistance-analysis.yaml | Whale Resistance Analysis | Systematic analysis of how different voting mechanisms resist governance capture by wealthy minorities. Tests quadratic voting's theoretical advantage in reducing whale influence compared to token-weighted alternatives. | - | whale-resistance, plutocracy, quadratic-voting, attack-resistance, grid-search |
| experiments/simple-sweep.yaml | Simple Sweep Test | Test parameter sweep with fewer values | governance_config.quorumPercentage | - |
| experiments/test-voting-fix-high.yaml | High Activity Voting Test | Test with higher voting activity | governance_config.quorumPercentage | - |
| experiments/test-voting-fix.yaml | Quick Voting Fix Test | Test to verify quorum reach improvement | governance_config.quorumPercentage | - |
| experiments/validation-quick.yaml | Quick Validation | Verify simulation metrics are working after fixes | governance_rule | - |
| experiments/validation/01-reproducibility.yaml | Reproducibility Validation | Verify that the simulation produces deterministic results with the same seed. All runs with the same seed should produce identical metrics (std = 0). This is critical for scientific reproducibility. | seed | - |
| experiments/validation/02-monotonicity-proposals.yaml | Proposal Creator Monotonicity | Verify that member count affects proposal count as expected: - More members with active_voter archetype = more proposals - This tests the proposal creation rate scales with population | population.totalMembers | - |
| experiments/validation/02-monotonicity-voting.yaml | Voting Activity Monotonicity | Verify that voting_activity parameter behaves as expected: - voting_activity=0 should result in ~0 turnout - voting_activity=1 should result in highest turnout - Turnout should increase monotonically with voting_activity | voting_activity | - |
| experiments/validation/03-boundary-minimal.yaml | Boundary: Minimal Agents | Test system behavior with minimal agent counts. Verifies system doesn't crash with very few agents. | population.totalMembers | - |
| experiments/validation/03-boundary-no-proposals.yaml | Boundary: No Active Voters | Test system behavior when there are no active voters (who create proposals). Expected: Fewer proposals created, simulation runs without errors. | seed | - |
| experiments/validation/03-boundary-zero-voting.yaml | Boundary: Zero Voting Activity | Test system behavior when voting_activity is 0. Expected: Very low turnout, proposals may fail due to no votes. | seed | - |
| experiments/validation/04-metric-sanity.yaml | Metric Sanity Checks | Verify all metrics produce valid, reasonable values. Run a standard simulation and check: - All metrics are within expected bounds - No NaN or Infinity values - Metrics behave sensibly over time | seed | - |
| experiments/validation/05-governance-rules.yaml | Governance Rules Validation | Verify each governance rule behaves distinctly. Different rules should produce different pass rates. | governance_rule | - |
| experiments/validation/06-conservation.yaml | Token Conservation | Verify that token conservation holds throughout the simulation. Total tokens (agents + treasury) should not exceed initial supply. This test runs a standard simulation and checks conservation at the end. | seed | - |
| experiments/validation/07-homogeneous-voting.yaml | Homogeneous Agent Voting Test | Test voting_activity parameter with homogeneous agent populations. Using only passive_holder agents (which respect voting_activity) ensures we can properly test the parameter's effect. This isolates the voting_activity parameter from agent-type bypasses. | voting_activity | - |
| experiments/validation/08-quorum-participation.yaml | Quorum Total Participation | Verify that quorum requires total participation (votesFor + votesAgainst), not just votes for. This is critical for preventing proposals from passing with minimal participation when there's no opposition. Test: With very low voting activity, proposals should fail due to insufficient TOTAL participation, even if all votes are "for". | governance_config.quorumPercentage | - |
| experiments/validation/09-learning-agents.yaml | Learning Agent Validation | Verify Q-learning enabled agents work correctly: - Agents run without errors with learning enabled - Q-tables accumulate over steps - Exploration rate decays across episodes - Learning-disabled mode produces baseline comparison | learning_enabled | - |
| experiments/voting-comparison.yaml | Voting System Comparison | Compare simple majority, quadratic, and conviction voting mechanisms | governance_rule | - |
No se encontraron resultados en ./results.