3min chapter

Machine Learning Street Talk (MLST) cover image

#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

Machine Learning Street Talk (MLST)

CHAPTER

The Opportunity for Direct Belief Sharing in Multi-Agent Systems

Many of the abstractions that humans learn are not grounded in the physical world at all. And we can get to how those abstractions are learned. But I guess what I'm saying is, let's say one of these agents in this multi-agent system, it's traversing this topology. What grounds the states in that topology? Well, I think that would be transactions with the world.

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