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The generation of strong mechanisms for unsure inference is central to the development of Artificial General Intelligence techniques. Though probability theory provides a principled foundation for uncertain inference, the mathematics of chance theory ...
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A system deployed in the real entire world will need to handle uncertainty in its observations and interventions. For this, we current an approach to introduce uncertainty of state variables in causal reasoning utilizing a constructivist AI architecture. ...
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