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"

A project for Complex Adaptive Systems' computational models

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.

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

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.

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.

Assignment in Sistem Adaptif(Adaptive System course)

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。

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。

This framework defines a multi-dimensional causality model that links actions and outcomes across disjoint contexts. It enables intelligent systems to predict, adapt, and coordinate decisions in highly variable or fragmented environments. 本フレームワークは、異なる文脈間における行動と結果を結ぶ多次元因果モデルを定義します。これにより、知的システムが断片的または高変動な環境下でも予測・適応・意思決定の統合を可能とします。

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.

Online Appendix accompanying the paper "Points-to Analysis for Context-oriented JavaScript Programs"

Playground to investigate novel adaptive systems solutions

A theoretical framework for constructing adaptive, hierarchical layers of knowledge processing in AI. This model enables dynamic restructuring of knowledge systems, supporting scalable learning and meta-reasoning. AIにおける知識処理を階層的かつ適応的に構築する理論モデル。知識体系の動的再構成を可能にし、スケーラブルな学習とメタ認知的推論を支援する。