This repository contains my notes for the University of Bologna's Autonomous and Adaptive Systems course, held by prof. Mirco Musolesi.

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.

An optimized LMS algorithm

AgentForge is a powerful and flexible signal-driven workflow framework designed for building intelligent, dynamic, and adaptive systems.

Classical adaptive linear filters in Julia

CHI 2023 Late Breaking Work: "Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems"

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.

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

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

A philosophical manifesto and a series of white papers exploring a symbiotic, human-centric future for Artificial General Intelligence (AGI).

🕹️🤖 Presentation for the 1st Meeting on Multidisciplinary Perspectives on Climate Change of the Resiclima Network

A project for Complex Adaptive Systems' computational models

🛠️ Build intelligent systems with this guide to agentic design patterns, simplifying the process for developers and enhancing capabilities in AI-driven projects.

Research implementation exploring the relationship between dataset complexity and optimal k parameter in Dynamic Classifier Selection methods.

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.

Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize performance. Its modularity ensures easy customization for versatile applications.

Foundational papers for the Symmetrical Convergence (SymC) framework. Establishes χ ≈ 1 as a universal stability boundary governing quantum-classical transitions, parameter emergence, and adaptive system behavior. The theoretical core from which all domain-specific applications derive.

🧬 Self-Improving Digital Organism - Autonomous GitHub framework with real-time task generation, self-healing capabilities, and adaptive evolution

Teaches LLMs to skip unproductive questions during decision-making, steering discussions toward clear specs or plans with smart tracking and focused cycles.

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

My first messy but working AI architecture. Have fun :-)

A self-healing distributed consensus framework built in Go, designed to handle network partitions, Byzantine faults, and dynamic topology changes with minimal downtime. It leverages hybrid consensus (Raft + PBFT-inspired).

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.

Modular stability engine for adaptive systems - real-time equilibrium, feedback control, and system dynamics in motion.

End-to-end toolkit for smart hash maps, CLI, Mission Control (PyQt6) dashboard, Textual TUI, workload analytics, snapshots, and automated benchmarks.

Cybernetic behavior modeling: Translating biological conditioning into Object-Oriented Interface Logic (AniPI/HPI). A framework for emergent interaction effects between autonomous systems.

Python hash map that migrates between two-level chaining and Robin Hood probing based on workload. Live metrics dashboard, reproducible workloads, CSV/JSON benchmarks, safe snapshots and repair.

🌡️🌱 Presentation for the 2nd Meeting on Multidisciplinary Perspectives on Climate Change of the Resiclima Network

Sovereign AI for smart, self-learning buildings • Edge-native • 25–35 % energy savings

Geophysics: Geophysical applications of the SymC framework. Applies χ ≈ 1 stability principles to planetary systems including seismic dynamics and fault behavior. Foundation for expanding into broader planetary sciences as the framework develops.