Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This paper proposes a novel approach to developing General Artificial Intelligence (GAI) by leveraging cognitive architectures. The core idea is to model human cognition—encompassing perception, memory, reasoning, learning, and decision-making—within a computational framework. This architecture is built upon a modular design, integrating deep learning and reinforcement learning techniques to enable the system to acquire and utilize diverse cognitive abilities. We argue that this approach, rooted in cognitive architecture, offers a more biologically plausible and potentially more effective path toward achieving true GAI compared to traditional, monolithic AI systems. The presented model aims to bridge the gap between artificial intelligence and human intelligence, ultimately leading to a system capable of adapting and solving complex problems across various domains. This document details the architecture, key mechanisms, and anticipated advancements within this framework. ---
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