Building Intelligent Machines Helps Us Learn How Our Brain Works

By George Musser

GWT has long been a case study of how neuroscience and AI research play off each other.

In the 1980s Baars put forward GWT as a theory of human consciousness. “I learned a great deal from AI my whole career, basically because it was the only viable theoretical platform that we had,” Baars says.

One provocative hypothesis is that consciousness is the common ground. According to Global Workspace Theory (GWT), consciousness is to the brain what a staff meeting is to a company: a place where modules can share information and ask for help. GWT is far from the only theory of consciousness out there, but it is of particular interest to AI researchers because it conjectures that consciousness is integral to high-level intelligence.

To do simple or rehearsed tasks, the brain can run on autopilot, but novel or complicated ones—those beyond the scope of a single module—require us to be aware of what we’re doing.

Ben Goertzel and others have incorporated a workspace into their AI systems. “I think the core ideas of the global workspace model are going to pop up in a lot of different forms,” he says.

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There is also ongoing debate about the relative role of prefrontal versus posterior regions of the cortex in conscious events.

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« La première théorie est celle de l’espace de travail global (« global workspace theory, ou GWT », en anglais), proposée par le psychologue Bernard Baars et étayée par les neurobiologistes Stanislas Dehaene et Jean-Pierre Changeux. Et pour aller très vite, ce serait cette diffusion (ou « broadcast ») aux multiples sous-systèmes cognitifs de notre cerveau (attention, mémoire de travail, planification, etc.) qui nous ferait percevoir cette étrange impression subjective qu’on appelle la conscience. »| By SciencePresse

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Integrated Information Theory vs Global Workspace Theory - The aim is to learn more about the basis of consciousness in the brain | By Geoffrey Carr: science editor, The Economist

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