Journal article
On the relation between plausibility logic and the maximum-entropy principle: a numerical study
- Abstract:
- What is the relationship between plausibility logic and the principle of maximum entropy? When does the principle give unreasonable or wrong results? When is it appropriate to use the rule `expectation = average'? Can plausibility logic give the same answers as the principle, and better answers if those of the principle are unreasonable? To try to answer these questions, this study offers a numerical collection of plausibility distributions given by the maximum-entropy principle and by plausibility logic for a set of fifteen simple problems: throwing dice.
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- Publication date:
- 2009-11-11
- Keywords:
- Pubs id:
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pubs:326143
- UUID:
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uuid:ed1f3dc8-0f12-49e9-9cf7-06802d5104bf
- Local pid:
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pubs:326143
- Source identifiers:
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326143
- Deposit date:
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2012-12-19
- ARK identifier:
Terms of use
- Copyright date:
- 2009
- Notes:
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24 pages of main text and references, 8 pages of tables, 7 pages of
additional references
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