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adaptive-systems

Here are 91 public repositories matching this topic...

A professional exploration of reflective analytics, dashboards that evolve through user interaction. This project reimagines BI systems as adaptive, cognitive mirrors that learn analyst behavior, anticipate reasoning patterns, and transform data visualization into a collaborative, intelligent process.

  • Updated Nov 5, 2025

A framework for resonance-based decision-making in artificial agents, combining celestial influences, memory feedback, and symbolic emergence.

  • Updated Jun 26, 2025
  • Python

This project is an interactive visualization that explores the fascinating world of emergent behaviors and self-organizing systems. Inspired by the remarkable abilities of Physarum polycephalum (slime mold), this simulation demonstrates how complex patterns can arise from simple, decentralized decision-making processes.

  • Updated Jan 25, 2026
  • JavaScript

A framework for shaping identity-aware cognition in language models using behavioral prompt layering, recursive interpretive constraints, and modular cognitive modes.

  • Updated May 13, 2025

A recursive, entropy-driven computational language for modeling emergent intelligence, consciousness, and complex adaptive systems. Features automatic bifractal tracing, field-aware memory, and entropy-gated execution for infodynamics research.

  • Updated Aug 18, 2026
  • Python

A simulation demonstrating that recursive intelligence vastly outperforms scalar IQ under collapse and drift. Based on the paper “Recursion vs. IQ: Toward a Multi-Scale Model of Intelligence v2.0

  • Updated Sep 15, 2025
  • Python

Um framework para engenharia reversa da cognição. Modelagem matemática de agentes que possuem estado interno, plasticidade sináptica e oscilação fásica. Define os parâmetros para sistemas autônomos reflexivos e emocionalmente funcionais.

  • Updated Nov 26, 2025

Adaptive Intelligence Framework (AIF) formalizes intelligence as a boundary-regulated adaptive process. Grounded in SymC principles, it studies how systems maintain coherence under uncertainty through constraint negotiation, regulation, and phase transitions - focusing on adaptive stability rather than benchmark optimization or ML scaling.

  • Updated Dec 12, 2025

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