000 03783nam a22006375i 4500
001 978-3-540-75538-8
003 DE-He213
005 20240423130249.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540755388
_9978-3-540-75538-8
024 7 _a10.1007/978-3-540-75538-8
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM000000
_2bisacsh
072 7 _aUY
_2thema
082 0 4 _a004
_223
245 1 0 _aComputers and Games
_h[electronic resource] :
_b5th International Conference, CG 2006, Turin, Italy, May 29-31, 2006, Revised Papers /
_cedited by H. Jaap van den Herik, Paolo Ciancarini, H. (Jeroen) H.L. Donkers.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aXII, 283 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4630
505 0 _aComputer Analysis of Chess Champions -- Automated Chess Tutor -- A New Heuristic Search Algorithm for Capturing Problems in Go -- An Open Boundary Safety-of-Territory Solver for the Game of Go -- Monte-Carlo Proof-Number Search for Computer Go -- Virtual Global Search: Application to 9×9 Go -- Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search -- Combinatorics of Go -- Abstracting Knowledge from Annotated Chinese-Chess Game Records -- Automatic Strategy Verification for Hex -- Feature Construction for Reinforcement Learning in Hearts -- A Skat Player Based on Monte-Carlo Simulation -- A Retrograde Approximation Algorithm for One-Player Can’t Stop -- Improving Depth-First PN-Search: 1?+?? Trick -- Search Versus Knowledge Revisited Again -- Counting the Number of Three-Player Partizan Cold Games -- LUMINES Strategies -- Computing Proper Equilibria of Zero-Sum Games -- Comparative Study of Approximate Strategies for Playing Sum Games Based on Subgame Types -- On the Symbolic Computation of the Hardest Configurations of the RUSH HOUR Game -- Cheat-Proof Serverless Network Games -- Monte-Carlo Methods in Pool Strategy Game Trees -- Optimization of a Billiard Player – Tactical Play -- Gender and Cultural Differences (If Any!): South African School Children and Computer Games.
650 0 _aComputer science.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 0 _aNumerical analysis.
650 0 _aMathematical statistics.
650 0 _aArtificial intelligence.
650 0 _aAlgorithms.
650 1 4 _aComputer Science.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aNumerical Analysis.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aArtificial Intelligence.
650 2 4 _aAlgorithms.
700 1 _aHerik, H. Jaap van den.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCiancarini, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDonkers, H. (Jeroen) H.L.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540755371
776 0 8 _iPrinted edition:
_z9783540844815
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4630
856 4 0 _uhttps://doi.org/10.1007/978-3-540-75538-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c186757
_d186757