Ply: a system of plausibility inference with a probabilistic basis
An overview is given of a system of plausibility inference that will be developed for use in planning. This system, to be called PLY, will be specifically designed to work with propositions of the form when A is true (occurs), B is likely to be true (to occur) . Previous systems performing similar f...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Massachusetts Inst. of Technology, Lab. for Computer Science
1982
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| Schlagworte: | |
| Zusammenfassung: | An overview is given of a system of plausibility inference that will be developed for use in planning. This system, to be called PLY, will be specifically designed to work with propositions of the form when A is true (occurs), B is likely to be true (to occur) . Previous systems performing similar functions have been designed as aids for such tasks as medical diagnosis (MYCIN and others) and mineral prospecting (PROSPECTOR). PLY will have a probabilistic basis. Intuitive assumptions to deal with knowledge not explicitly given to the system will be made with the aid of an information-theoretic measure on the amount of information in a probability distribution. Unlike many other systems, PLY will not use these assumptions when the given knowledge indicates they are not tenable. In addition to standard probabilities, PLY will be able to make use of knowledge (information) in the form of the correlations and increased/decreased likelihoods, which most people find easier to estimate than probabilities. PLY's knowledge will be in an organized and structured form, which will help in knowledge acquisition and revision, facilitate system explanations, and lower the storage requirements of the system. (Author). |
| Beschreibung: | 25 S. |
Internformat
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| 520 | 3 | |a An overview is given of a system of plausibility inference that will be developed for use in planning. This system, to be called PLY, will be specifically designed to work with propositions of the form when A is true (occurs), B is likely to be true (to occur) . Previous systems performing similar functions have been designed as aids for such tasks as medical diagnosis (MYCIN and others) and mineral prospecting (PROSPECTOR). PLY will have a probabilistic basis. Intuitive assumptions to deal with knowledge not explicitly given to the system will be made with the aid of an information-theoretic measure on the amount of information in a probability distribution. Unlike many other systems, PLY will not use these assumptions when the given knowledge indicates they are not tenable. In addition to standard probabilities, PLY will be able to make use of knowledge (information) in the form of the correlations and increased/decreased likelihoods, which most people find easier to estimate than probabilities. PLY's knowledge will be in an organized and structured form, which will help in knowledge acquisition and revision, facilitate system explanations, and lower the storage requirements of the system. (Author). | |
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| 650 | 7 | |a Statistical inference |2 dtict | |
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| illustrated | Not Illustrated |
| index_date | 2024-07-02T16:03:35Z |
| indexdate | 2024-07-09T20:46:30Z |
| institution | BVB |
| language | English |
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| physical | 25 S. |
| publishDate | 1982 |
| publishDateSearch | 1982 |
| publishDateSort | 1982 |
| publisher | Massachusetts Inst. of Technology, Lab. for Computer Science |
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| spelling | Yeh, Alexander Verfasser aut Ply a system of plausibility inference with a probabilistic basis Massachusetts Inst. of Technology, Lab. for Computer Science 1982 25 S. txt rdacontent n rdamedia nc rdacarrier An overview is given of a system of plausibility inference that will be developed for use in planning. This system, to be called PLY, will be specifically designed to work with propositions of the form when A is true (occurs), B is likely to be true (to occur) . Previous systems performing similar functions have been designed as aids for such tasks as medical diagnosis (MYCIN and others) and mineral prospecting (PROSPECTOR). PLY will have a probabilistic basis. Intuitive assumptions to deal with knowledge not explicitly given to the system will be made with the aid of an information-theoretic measure on the amount of information in a probability distribution. Unlike many other systems, PLY will not use these assumptions when the given knowledge indicates they are not tenable. In addition to standard probabilities, PLY will be able to make use of knowledge (information) in the form of the correlations and increased/decreased likelihoods, which most people find easier to estimate than probabilities. PLY's knowledge will be in an organized and structured form, which will help in knowledge acquisition and revision, facilitate system explanations, and lower the storage requirements of the system. (Author). Computer applications dtict Computer graphics dtict Decision making dtict Estimates dtict Information Science scgdst Information systems dtict Probability distribution functions dtict Probability dtict Statistical inference dtict Statistics and Probability scgdst Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf Expertensystem (DE-588)4113491-6 s DE-604 Statistische Schlussweise (DE-588)4182963-3 s |
| spellingShingle | Yeh, Alexander Ply a system of plausibility inference with a probabilistic basis Computer applications dtict Computer graphics dtict Decision making dtict Estimates dtict Information Science scgdst Information systems dtict Probability distribution functions dtict Probability dtict Statistical inference dtict Statistics and Probability scgdst Statistische Schlussweise (DE-588)4182963-3 gnd Expertensystem (DE-588)4113491-6 gnd |
| subject_GND | (DE-588)4182963-3 (DE-588)4113491-6 |
| title | Ply a system of plausibility inference with a probabilistic basis |
| title_auth | Ply a system of plausibility inference with a probabilistic basis |
| title_exact_search | Ply a system of plausibility inference with a probabilistic basis |
| title_exact_search_txtP | Ply a system of plausibility inference with a probabilistic basis |
| title_full | Ply a system of plausibility inference with a probabilistic basis |
| title_fullStr | Ply a system of plausibility inference with a probabilistic basis |
| title_full_unstemmed | Ply a system of plausibility inference with a probabilistic basis |
| title_short | Ply |
| title_sort | ply a system of plausibility inference with a probabilistic basis |
| title_sub | a system of plausibility inference with a probabilistic basis |
| topic | Computer applications dtict Computer graphics dtict Decision making dtict Estimates dtict Information Science scgdst Information systems dtict Probability distribution functions dtict Probability dtict Statistical inference dtict Statistics and Probability scgdst Statistische Schlussweise (DE-588)4182963-3 gnd Expertensystem (DE-588)4113491-6 gnd |
| topic_facet | Computer applications Computer graphics Decision making Estimates Information Science Information systems Probability distribution functions Probability Statistical inference Statistics and Probability Statistische Schlussweise Expertensystem |
| work_keys_str_mv | AT yehalexander plyasystemofplausibilityinferencewithaprobabilisticbasis |