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

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

An optimized LMS algorithm

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 project for Complex Adaptive Systems' computational models

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.

Samstraumr is a R&D framework in development to implement systems theory tube-based design concepts in software architecture for experimenting with adaptive systems.

🕹️🤖 Presentation for the 2024 RESICLIMA Meeting

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).

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.

This framework defines a system for aligning cognitive priorities within intelligent agents, enabling consistent behavior under dynamic conditions. It uses weighted contextual processing to adaptively restructure internal hierarchies. 本フレームワークは、知的エージェント内部の認知的優先順位を整合させるシステムを定義し、変化する状況下でも一貫した行動を可能にします。重み付けされた文脈処理により、内部階層を適応的に再構成します。

This patent framework supports dynamic, hierarchical transition in adaptive systems. It enables flexible restructuring of decision-making and reasoning models in response to changing contexts or environmental demands. 本特許構造は、適応システムにおける動的かつ階層的な遷移を支援します。変化する文脈や環境要求に応じて、意思決定・推論モデルの柔軟な再構築を可能にします。

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

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

Assignment in Sistem Adaptif(Adaptive System course)

This theory models a system that autonomously adjusts its operational parameters based on internal state transitions and external feedback. It provides a flexible control architecture useful for evolving AI agents, real-time optimization systems, and adaptive control networks.

A theoretical model integrating topological structure with encryption to construct flexible, adaptive cryptographic systems. Enables secure communication based on spatial logic and structure transformation. 暗号理論に位相的構造を融合させ、柔軟かつ適応的な暗号システムを構築する理論モデル。空間論理と構造変換に基づく安全な通信を実現する。