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public:t-713-mers:mers-25:concepts_terms [2025/08/19 12:23] – [Correlation, Knowledge, Causation] thorissonpublic:t-713-mers:mers-25:concepts_terms [2025/08/19 12:27] (current) – [Correlation, Knowledge, Causation] thorisson
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 |  Modeling Correlation  | A model that makes use of observed correlation between A and B is only good for prediction, not for manipulation; to be useful for manipulation (goal-directed behavior and planning) it must include the causal direction of the relationship between A and B.   | |  Modeling Correlation  | A model that makes use of observed correlation between A and B is only good for prediction, not for manipulation; to be useful for manipulation (goal-directed behavior and planning) it must include the causal direction of the relationship between A and B.   |
 |  Causal Relations are Invisible  | Causal relations do not jump out at us when we observe something unfamiliar because the cause and effect are "spread out" over time -- cause-effect happens over time, as the cause must happen before the effect.   | |  Causal Relations are Invisible  | Causal relations do not jump out at us when we observe something unfamiliar because the cause and effect are "spread out" over time -- cause-effect happens over time, as the cause must happen before the effect.   |
 +|  Modeling Cause-Effect  | Intelligent agents can model cause and effect with many methods; two of them are invention (coming up with a wild idea for the relationship betweeen A and B, e.g. that spirits make people sick) and discovery (through observation and experimentation with A and B, e.g. that unclean surgical knives can bring disease-carrying material between people).   
  
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/var/www/cadia.ru.is/wiki/data/attic/public/t-713-mers/mers-25/concepts_terms.1755606205.txt.gz · Last modified: 2025/08/19 12:23 by thorisson

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