LEADER 04024nam  22007095  450 
001 9910254818803321
005 20200706050724.0
010   $a3-319-57969-X
024 7 $a10.1007/978-3-319-57969-6
035   $a(CKB)3850000000027418
035   $a(DE-He213)978-3-319-57969-6
035   $a(MiAaPQ)EBC6303631
035   $a(MiAaPQ)EBC5578903
035   $a(Au-PeEL)EBL5578903
035   $a(OCoLC)985440599
035   $a(PPN)200513214
035   $a(EXLCZ)993850000000027418
100   $a20170428d2017      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputer Games $e5th Workshop on Computer Games, CGW 2016, and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, Held in Conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, New York, USA, July 9-10, 2016, Revised Selected Papers /$fedited by Tristan Cazenave, Mark H.M. Winands, Stefan Edelkamp, Stephan Schiffel, Michael Thielscher, Julian Togelius
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XII, 179 p. 59 illus.)
225 1 $aCommunications in Computer and Information Science,$x1865-0929 ;$v705
300   $aIncludes index.
311   $a3-319-57968-1 
330   $aThis book constitutes the refereed proceedings of the 5th Computer Games Workshop, CGW 2016, and the 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, held in conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, in New York, USA, in July 2016. The 12 revised full papers presented were carefully reviewed and selected from 25 submissions. The papers address all aspects of artificial intelligence and computer game playing. They discuss topics such as Monte-Carlo methods; heuristic search; board games; card games; video games; perfect and imperfect information games; puzzles and single player games; multi-player games; combinatorial game theory; applications; computational creativity; computational game theory; evaluation and analysis; game design; knowledge representation; machine learning; multi-agent systems; opponent modeling; planning. .
410  0$aCommunications in Computer and Information Science,$x1865-0929 ;$v705
606   $aArtificial intelligence
606   $aPersonal computers
606   $aComputer science?Mathematics
606   $aComputers
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aPersonal Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I24083
606   $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
615  0$aArtificial intelligence.
615  0$aPersonal computers.
615  0$aComputer science?Mathematics.
615  0$aComputers.
615 14$aArtificial Intelligence.
615 24$aPersonal Computing.
615 24$aMathematics of Computing.
615 24$aTheory of Computation.
676   $a794.8
702   $aCazenave$b Tristan$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aWinands$b Mark H.M$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aEdelkamp$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSchiffel$b Stephan$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aThielscher$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTogelius$b Julian$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254818803321
996   $aComputer Games$92105492
997   $aUNINA