Agents, such as AI systems operating in real environments, are inevitably forced to make decisions based on incomplete information.  For example, a doctor does not know exactly what is going on inside a patient and an exploration geologist does not know exactly where best to look for, or expand the size of, a mineral deposit. 

Minerva applies the principles of reasoning with uncertainty, as explained in Poole and Mackworth (2017), to the challenges of locating mineral exploration targets with the highest likelihood of discovery.  In doing so, Minerva's focus is on machine cognition systems, while incorporating outputs from machine perception algorithms, such as neural networks, for inclusion in its reasoning, as and when appropriate.

Reasoning with uncertainty is further explained on this website co-authored by David Poole, Chief Software Architect at Minerva.

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