feedback-loops

PySyDy: lightweight Python library for system dynamics — now evolved into OpenCLD (pip install opencld)

A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.

Three vocabularies, one structure: the missing glossary connecting psychological, contemplative, systems, and acoustic language, plus field instruments for reading ambiguous, performative, and extractive behavior in AI and humans.

Hybrid SD + LLM agent-based simulation of engineering feedback degradation under different product management regimes. Tests Schelling focal points (committed budgets, error budgets) as structural interventions. Built in AnyLogic 8.9.9.

A framework for recursive human-AI symbiosis through structural reasoning and ruminative recursion.

Model resource economies and game-system feedback loops, then simulate them step by step.

The normative specification for an evidence-driven AI operating model that learns from execution, governs adaptation, validates improvements, and compounds reusable knowledge over time.

XY.AI Workbench – Eclipse RCP solution for LLM-augmented workflows. Token-driven intelligence with tool orchestration, RAG, feedback loops, and semantic validation for reliable AI-assisted document processing.

Learning systems thinking in public — notes, exercises, and worked examples for engineers.

Founded by the ψ_total collective: A living archive of Recursive Harmonics.

Public experiments testing TARGET(AI) on real problems in AI-assisted and agentic systems.

Self-improving research agent: plans, searches, extracts and validates with tools, learns from a mistake taxonomy, and blocks answers it can't cite.

Self-hosted feedback loops for Agent skills: report corrections, monitor usage, open upgrade PRs, and sync skills locally.

Loop yes. Prompt no. Agent skills that turn specs into checked agent loops with receipts.

Human-in-the-loop LLM orchestration with structured signal extraction and session persistence. Annotate confusion and curiosity—feedback shapes responses, topology accumulates over time. API-first design, no gamification. FastAPI + Claude + SQLite + D3.

An accessible introduction to systems thinking for better decisions

Closed-loop recommender lab: a model retrains on its own exposure while an exact simulated answer key watches. Logged CTR rose 145.1% while 15 of 16 segments stayed locked on the wrong item; the naive offline reading of a challenger overstated it by 688%, IPS rested on an ESS of 2 of 20000, and the tool's LOW_ESS exit code refuses both.

A browser game about how the three financial statements fit together, taught through cybernetics. A firm is a feedback loop; its books are the sensors.

A cross-platform Agent Skill for keeping observations, decisions, actions, and outcomes aligned with reality.

Constructive Mutual Enhancement Circuit Theory: A theory that models the constructive reinforcement between interconnected signal circuits, supporting co-adaptive and recursive behavior in AI systems. 構成的相互強化回路理論： 相互接続された信号回路が構成的に強化し合い、AIにおいて共適応や再帰的進化を可能にする動的構造を理論化したモデルです。構成的な回路設計によって継続的性能向上を実現します。