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Information-theoretic uncertainty depends on a specified distribution and does not measure a message’s truth.
The short introduction helps with the question. For the primary paper, use probability and logarithms; the Probability route or equivalent experience is useful. Reconstruct the assumptions before applying a communication model elsewhere.
Compare a certain symbol with two equally likely symbols; calculate their entropy and state what the calculation does not measure.
Start here if the background is new. Equivalent experience is enough.
Introduces the question and vocabulary used in the longer selected reading.
Probability supports the paper’s treatment of uncertainty and information; logarithms are also helpful.
Claude E. Shannon · paper
Abstract and Introduction, then the first developed argument or experiment.
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Open the readingA Mathematical Theory of Communication. A mathematical account of communication under uncertainty. Separate the quantity of information in a model from the meaning or truth of a message.
Answer this question in your own words: How can a message carry information without being meaningful or true?
Name the claim, then explain why a reader might accept it.
Information-theoretic uncertainty depends on a specified distribution and does not measure a message’s truth.
What to look for
Common mistake: Summarising a biography instead of explaining the argument.
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Claude E. Shannon · paper
Locate two passages about “How can a message carry information without being meaningful or true” using the contents or index. Record their chapter/section names in your notes; this route assigns selections, not the whole work.
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Open the readingA Mathematical Theory of Communication. A mathematical account of communication under uncertainty. Separate the quantity of information in a model from the meaning or truth of a message.
What would make your activity a convincing example?
Compare a certain symbol with two equally likely symbols; calculate their entropy and state what the calculation does not measure.
A useful response carries out the task: Compare a certain symbol with two equally likely symbols; calculate their entropy and state what the calculation does not measure. It records the observation or passage used and explains how it bears on the question.
What to look for
Common mistake: Presenting an opinion without showing the example it rests on.
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What is one conclusion this reading does not establish?
Test the boundary: Do not treat entropy as a general score for meaning, quality or intelligence.
Do not treat entropy as a general score for meaning, quality or intelligence.
What to look for
Common mistake: Treating a useful interpretation as an unrestricted fact.
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Background, different viewpoints, and further reading.
A mathematical account of communication under uncertainty. Separate the quantity of information in a model from the meaning or truth of a message.
Abstract and Introduction, then the first developed argument or experiment.