While the authors claim, "These results suggest that, at least in some situations, chimpanzees know what others know, in the sense of have seen" (Kaminski et al. 2008, 229) there is some question about whether the chimpanzees can understand knowledge without understanding belief, so interpreting this behavior as understanding knowledge may be equally problematic (Andrews forthcoming).
It belongs centrally to the agenda of Enlightenment philosophy to contribute to the new knowledge of nature, and to provide a metaphysical framework within which to place and interpret this new knowledge.
Louis Pasteur once said, "Chance favors the prepared mind". One way of interpreting this phrase is that with knowledge and understanding, our minds can be prepared to optimize our response to the chance events that happen in life.
They are semantically based on the notion of probabilistic lexicographic entailment from probabilistic default reasoning, which naturally interprets this terminological and assertional probabilistic knowledge as knowledge about random and concrete instances, respectively.
A similar approach was used to interpret the knowledge of HEWs on danger symptoms, danger signs, and complications in pregnancy.
As knowledge translators, NGOs interpret the knowledge generated by research to their constituents, a key role in working towards the vulnerable having access to the benefits of research that could improve their lives.
Much information that goes through language is because humans have a lot of background knowledge to interpret this information.
Based on a theoretical model, we interpret this evidence as showing that knowledge of the parent firm is not fully utilized in innovative R&D of its subsidiary.
But the end of data was what he called "profound knowledge". I interpret this as: "Never let measurement substitute for judgment". Obviously Deming would not suggest you should not measure.
It provides a framework for collecting, integrating, and interpreting different knowledge elements to support decision-making processes.
