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29.7 Conclusion 189 flexibly interacting with a rich stream of data from the everyday human world. Thi
nowledge. We now turn to uncertain reasoning based on uncertain spatiotemporal knowledge, using the integration of the above-discussed calculi into the Probabilistic Logic Networks reasoning sys- tem, an uncertain inference framework designed specifically for AGI and integrated into the OpenCog AGI framework. We give here a fe
enough, in the sense that they lack sufficiently rich and nuanced interactions EFTA00623805 30 2 Wh
ection, creating new procedures via mutation, combination and probabilistic modeling based on previous ones), and analogical inference (an aspect of the Probabilistic Logic Networks subsystems). But ultimately creativity is about how a system combines all the processes at its disposal to synthesize novel solutions to the proble
enough, in the sense that they lack sufficiently rich and nuanced interactions HOUSE_OVERSIGHT_012945
lection, creating new procedures via mutation, combination and probabilistic modeling based on previous ones), and analogical inference (an aspect of the Probabilistic Logic Networks subsystems). But ultimately creativity is about how a system combines all the processes at its disposal to synthesize novel solutions to the problems
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