LEADER 03072oam  2200505   450 
001 9910298563603321
005 20190911103515.0
010   $a1-4939-0274-1
024 7 $a10.1007/978-1-4939-0274-3
035   $a(OCoLC)869219446
035   $a(MiFhGG)GVRL6WZR
035   $a(EXLCZ)993710000000083324
100   $a20131129d2014      uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aData-driven generation of policies /$fAustin Parker [and three others]
205   $a1st ed. 2014.
210  1$aNew York :$cSpringer,$d2014.
215   $a1 online resource (x, 50 pages) $cillustrations
225 1 $aSpringerBriefs in Computer Science,$x2191-5768
300   $a"ISSN: 2191-5768."
311   $a1-4939-0273-3 
320   $aIncludes bibliographical references and index.
327   $aIntroduction and Related Work -- Optimal State Change Attempts -- Different Kinds of Effect Estimators -- A Comparison with Planning under Uncertainty -- Experimental Evaluation -- Conclusions.
330   $aThis Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure. It explores correctness and algorithmic complexity results for both algorithms and experiments comparing their performance on both real-world and synthetic data. Topics addressed include optimal state change attempts, state change effectiveness, different kind of effect estimators, planning under uncertainty and experimental evaluation. These topics will help researchers analyze tabular data, even if the data contains states (of the world) and events (taken by an agent) whose effects are not well understood. Event DBs are omnipresent in the social sciences and may include diverse scenarios from political events and the state of a country to education-related actions and their effects on a school system. With a wide range of applications in computer science and the social sciences, the information in this Springer Brief is valuable for professionals and researchers dealing with tabular data, artificial intelligence and data mining. The applications are also useful for advanced-level students of computer science.
410  0$aSpringerBriefs in computer science.
606   $aComputer algorithms
606   $aArtificial intelligence
615  0$aComputer algorithms.
615  0$aArtificial intelligence.
676   $a004
676   $a005.55
700   $aParker$b Austin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0886493
702   $aSimari$b Gerardo I$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSliva$b Amy$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSubrahmanian$b V.S$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910298563603321
996   $aData-driven Generation of Policies$91979645
997   $aUNINA