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IndependentProject.Intelligence
Independent Project
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Intelligence
See Also: [[IndependentProject.Context]] ## Questions: * How will this be intelligent? * What information will be necessary in order to act intelligently? * How will this information be stored? * How will this information be used? * Any other helpful hacks? --- #### How will this be intelligent? * By understanding typed queries + ambiguous queries + unmatched queries + making accurate guesses about where to find the rules that match the query. * By predicting what queries (buttons) would be useful * By predicting what queries will be asked next, executing them and showing the results. --- #### What information will be necessary in order to act intelligently? * history of all previously issued commands with all available associated information. + query + time of query + what is implied by the current time and the KB? + is a meeting scheduled now, with whom? + is it a holiday? + any other correlations between information about the world? + user + which service (local, remote IP xyz, etc) + which session (each user could be speaking through multiple sessions) + any other states? + the state of the mind of the user * what was predicted about the user just before the query was executed. + what was the context? --- #### How will this information be stored? * RDF? I would only assume --- #### How will this information be used? * cluster queries - strong link added from x to y when x follows y. * basic algorithm: given most recent query and user, which queries have been most often been executed next? * improvements: + given most recent query and user, which type of queries are similar and out of all similar queries, which have been executed next most often? * given an enormous sample size, the basic algorithm would be pretty good. + what is a more general solution that abstracts in a similar way? + would like something along the lines of: * which queries are similar to this one? * which queries come after queries similar to the most recent one? + use the last n queries as a guide rather than just the most recent one + how do you define queries that are similar to this one? * queries which have a similar list of next probable queries. * how could this information be shared among users to help make this type of solution converge more quickly and accurately? #### Any other helpful hacks? * keep track of words as they come in to determine where to search next: * the word 'send' is typically matched with these queries, try them first * this is a keyword type heuristic for a formal grammar search