A Machine Consciousness architecture based on Deep Learning and Gaussian Processes
Eduardo C. Garrido-Merchán, Martin Molina
arXiv Preprint Archive February 2, 2020 via arXiv
Summary
AI-generated from the abstractConsciousness in machines may be achieved by combining recent advances in deep learning and generative models with symbolic reasoning within a cognitive architecture inspired by the global workspace theory. The proposed architecture assumes that consciousness emerges in machines that exhibit cognitive processes and conscious behavior. It integrates multiple modules, each using state-of-the-art AI models, whose correlated activities are coordinated through a global workspace. The authors provide detailed explanations of the models involved and how they communicate, aiming to create a system that could give rise to machine consciousness.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Cs.ai |
| Key finding | Proposes that an architecture based on the global workspace theory and recent AI models may give rise to consciousness in machines. |
Abstract
Recent developments in machine learning have pushed the tasks that machines can do outside the boundaries of what was thought to be possible years ago. Methodologies such as deep learning or generative models have achieved complex tasks such as generating art pictures or literature automatically. On the other hand, symbolic resources have also been developed further and behave well in problems such as the ones proposed by common sense reasoning. Machine Consciousness is a field that has been deeply studied and several theories based in the functionalism philosophical theory like the global workspace theory or information integration have been proposed that try to explain the ariseness of consciousness in machines. In this work, we propose an architecture that may arise consciousness in a machine based in the global workspace theory and in the assumption that consciousness appear in machines that has cognitive processes and exhibit conscious behaviour. This architecture is based in processes that use the recent developments in artificial intelligence models which output are these correlated activities. For every one of the modules of this architecture, we provide detailed explanations of the models involved and how they communicate with each other to create the cognitive architecture.