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Newbie here.

I recently read about cognitive architectures (see: https://en.wikipedia.org/wiki/Cognitive_architecture). They are supposed to be modeled after the human mind and represent a promising approach towards artificial general intelligence (AGI).

My question is, however, why haven't these cognitive architectures achieved AGI yet? What are the specific limitations and roadblocks that cognitive architectures face?

nbro
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Anonymous
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2 Answers2

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This is a philosophical question that does not have a one-off answer.

If I may suggest a quick thought:

Our brains are trained on millions of tasks when we grow up (recognising so many objects, emotions, actions, etc.), that if we were to make one giant neural network, and we train them on so many tasks, perhaps we can achieve a human like response.

As for 'consciousness'. Do any of us really know how that works? Is that due to the neural networks in our brain or something more intangible (that spark of life)? I'm not so sure of it, but it surely seems more complex than any of the deep learning models I've seen.

dorien
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That article only describes a way of thinking about and modeling the sort of cognitive capabilities that can lead to AGI. The thoughts and models are in no way a clear and certain roadmap to achieving AGI. And, even if they were, there are many implementation hurdles that would still need to be cleared to realize this.

Grady Booch summed this up pretty well in a recent tweet:

https://twitter.com/Grady_Booch/status/1615284029594697728 We do not yet - nor do I expect we will anytime in the future - have the proper architecture for the semantics of causality, abductive reasoning, common sense reasoning, theory of mind and of self, or subjective experience.

crosen9999
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