AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)

A pos-tagging library with Viterbi, CYK and SVO -> XSV translator made as part of my final exam for the Cognitive System course in Department of Computer Science.

A smart food bot for tourists in Singapore

The ARCADIA framework is for developing integrated, intelligent systems. This distribution includes several models and the components, sensors, etc. required to run them.

Embodied agent that learns from human teaching; hybrid agent architecture with computer vision, AI planning, knowledge graph reasoning & generalization , inverse kinematics. Supported by the DARPA GAILA program.

A recursive alignment framework for cognitive coherence, belief tracking, and contradiction repair.

Cognitive systems modelling on SpiNNaker

Field research exposing how LLM safeguards collapse under polite, persistent interaction. Includes full report, metrics, session logs, and the AION conditioning protocol.

A recursive alignment framework for cognitive coherence, belief tracking, and contradiction repair.

Field research exposing how LLM safeguards collapse under polite, persistent interaction. Includes full report, metrics, session logs, and the AION conditioning protocol.

Lecture "Kognitive Systeme" at KIT

Project for the Computer Vision and Cognitive Systems Master course exam

Holobionte 1rec3 - Colectivo experimental de simbiosis cognitiva entre simbiontes humanos y AI

Generative AI Enterprise Architect building reflexive, semantic, and adaptive systems for AI-native organizations. This portfolio showcases governed frameworks and cognitive architectures forming the foundation of a forthcoming next-generation intelligence and decision-design platform.

🧠 Explore AI's evolution through philosophy, architecture, and physical integration, connecting logic, energy, and meaning in a unified framework.

This protocol defines a meta-cognitive structure enabling systems to monitor, evaluate, and refine their own learning processes. It enhances adaptability and decision accuracy in AI, particularly in contexts requiring self-assessment and feedback loops. 本プロトコルは、システムが自身の学習過程を監視・評価・改善できるメタ認知的構造を定義します。自己評価とフィードバックループを要する環境において、AIの適応性と判断精度を向上させます。

Prova de Conceito oficial do Nemosine Nous rodando em backend FastAPI + frontend React, integrado à API do ChatGPT-4o.

A control layer for cognitive rupture, drift, and projection mutation in LLMs and transformer systems—powered by RCC. Built under Epacog.

A trainable office secretary.