Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World
Junya Nakanishi, Jun Baba, Yuichiro Yoshikawa, Hiroko Kamide, Hiroshi Ishiguro
arXiv Preprint Archive May 20, 2025 preprint
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Keywords | Cs.ro Cs.ai |
| Key points | Proposes that the Selection-Broadcast Cycle of Global Workspace Theory provides three functional benefits—Dynamic Thinking Adaptation, Experience-Based Adaptation, and Immediate Real-Time Adaptation—making it suitable as a cognitive architecture for AI and robotics in dynamic, real-time environments. |
Abstract
This paper discusses the functional advantages of the Selection-Broadcast Cycle structure proposed by Global Workspace Theory (GWT), inspired by human consciousness, particularly focusing on its applicability to artificial intelligence and robotics in dynamic, real-time scenarios. While previous studies often examined the Selection and Broadcast processes independently, this research emphasizes their combined cyclic structure and the resulting benefits for real-time cognitive systems. Specifically, the paper identifies three primary benefits: Dynamic Thinking Adaptation, Experience-Based Adaptation, and Immediate Real-Time Adaptation. This work highlights GWT's potential as a cognitive architecture suitable for sophisticated decision-making and adaptive performance in unsupervised, dynamic environments. It suggests new directions for the development and implementation of robust, general-purpose AI and robotics systems capable of managing complex, real-world tasks.