Measuring and controlling knowledge diversity
FMKD 2022-1st JOWO workshop on formal models of knowledge diversity (FMKD), 2022•hal.science
Assessing knowledge diversity may be useful for many purposes. In particular, it is
necessary to measure diversity in order to understand how it arises or is preserved; it is also
necessary to control it in order to measure its effects. Here we consider measuring
knowledge diversity using two components:(a) a diversity measure taking advantage of (b) a
knowledge difference measure. We present the general principles and various candidates
for such components. We discuss how these measures may be used to generate …
necessary to measure diversity in order to understand how it arises or is preserved; it is also
necessary to control it in order to measure its effects. Here we consider measuring
knowledge diversity using two components:(a) a diversity measure taking advantage of (b) a
knowledge difference measure. We present the general principles and various candidates
for such components. We discuss how these measures may be used to generate …
Assessing knowledge diversity may be useful for many purposes. In particular, it is necessary to measure diversity in order to understand how it arises or is preserved; it is also necessary to control it in order to measure its effects. Here we consider measuring knowledge diversity using two components: (a) a diversity measure taking advantage of (b) a knowledge difference measure. We present the general principles and various candidates for such components. We discuss how these measures may be used to generate populations of agents with controlled levels of knowledge diversity.
hal.science
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