LEADER 01018cam0 22002651 450 001 SOBE00055722 005 20180130083857.0 100 $a20170519d0000 |||||ita|0103 ba 101 $afre 102 $aIT 200 1 $aPetit careme de Massillon, eveque de Clermont 205 $aÉdition stéréotype d'après le procédé de Firmin Didot 210 $aA Paris$cde l'Imprimerie et de la Fonderie stéréotypes de Pierre Didot l'ainé, et de Firmin Didot$dan XI (1803) 215 $a248 P.$d24° 700 1$aMassillon$b, Jean Baptiste$3SOBA00014552$4070$0177538 702 1$aDidot, Pierre & Didot, Firmin$3SOBA00014476$4070 801 0$aIT$bBEM$c20180130$gRICA 850 $aBEM 852 $aBEM$j2$m00457 912 $aSOBE00055722 940 $aM 103 Monografia antica SBN 941 $aM 957 $xLibrerie|Verdi$a2$b065$gNO$cLV$d00457$hLibrerieVerdi$1tcalvano$2BEM$3BEM$420170519104654.0$520170519104805.0$6tcalvano 996 $aPetit carême de Massillon, évêque de Clermont$91659285 997 $aUNISOB LEADER 05255nam 2200697Ia 450 001 9910458941003321 005 20200520144314.0 010 $a1-281-37329-X 010 $a9786611373290 010 $a981-277-314-2 035 $a(CKB)1000000000400943 035 $a(EBL)1679731 035 $a(OCoLC)820942664 035 $a(SSID)ssj0000151579 035 $a(PQKBManifestationID)12003703 035 $a(PQKBTitleCode)TC0000151579 035 $a(PQKBWorkID)10317587 035 $a(PQKB)11690919 035 $a(MiAaPQ)EBC1679731 035 $a(WSP)00006164 035 $a(Au-PeEL)EBL1679731 035 $a(CaPaEBR)ebr10201335 035 $a(CaONFJC)MIL137329 035 $a(EXLCZ)991000000000400943 100 $a20060929d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary robotics$b[electronic resource] $efrom algorithms to implementations /$fLingfeng Wang, Kay Chen Tan, Chee Meng Chew 210 $aNew Jersey $cWorld Scientific Publishing$dc2006 215 $a1 online resource (267 p.) 225 1 $aWorld Scientific series in robotics and intelligent systems ;$vv. 28 300 $aDescription based upon print version of record. 311 $a981-256-870-0 320 $aIncludes bibliographical references and index. 327 $aContents ; Preface ; 1. Artificial Evolution Based Autonomous Robot Navigation ; 1.1 Introduction ; 1.2 Evolutionary Robotics ; 1.3 Adaptive Autonomous Robot Navigation ; 1.4 Artificial Evolution in Robot Navigation ; 1.4.1 Neural Networks ; 1.4.2 Evolutionary Algorithms 327 $a1.4.3 Fuzzy Logic 1.4.4 Other Methods ; 1.5 Open Issues and Future Prospects ; 1.5.1 SAGA ; 1.5.2 Combination of Evolution and Learning ; 1.5.3 Inherent Fault Tolerance ; 1.5.4 Hardware Evolution ; 1.5.5 On-Line Evolution ; 1.5.6 Ubiquitous and Collective Robots ; 1.6 Summary 327 $aBibliography 2. Evolvable Hardware in Evolutionary Robotics ; 2.1 Introduction ; 2.2 Evolvable Hardware ; 2.2.1 Basic Concept of EHW ; 2.2.2 Classification of EHW ; 2.2.2.1 Artificial evolution and hardware device ; 2.2.2.2 Evolution process ; 2.2.2.3 Adaptation methods 327 $a2.2.2.4 Application areas 2.2.3 Related Works ; 2.3 Evolutionary Robotics ; 2.4 Evolvable Hardware in Evolutionary Robotics ; 2.5 Promises and Challenges ; 2.5.1 Promises ; 2.5.2 Challenges ; 2.6 Summary ; Bibliography 327 $a3. FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution 3.1 Introduction ; 3.2 Classifying Evolvable Hardware ; 3.2.1 Evolutionary Algorithm ; 3.2.2 Evaluation Implementation ; 3.2.3 Genotype Representation ; 3.3 Advantages of Evolvable Hardware 327 $a3.3.1 Novel Hardware Designs 330 $a This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough unders 410 0$aWorld Scientific series in robotics and intelligent systems ;$vv. 28. 606 $aEvolutionary robotics 606 $aRobotics 608 $aElectronic books. 615 0$aEvolutionary robotics. 615 0$aRobotics. 676 $a629.892 700 $aWang$b Lingfeng$0772007 701 $aTan$b K. C$0999016 701 $aChew$b Chee Meng$0999017 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458941003321 996 $aEvolutionary robotics$92291999 997 $aUNINA LEADER 04215nam 22008655 450 001 996465993603316 005 20230406032233.0 010 $a3-540-75538-1 024 7 $a10.1007/978-3-540-75538-8 035 $a(CKB)1000000000490447 035 $a(SSID)ssj0000316936 035 $a(PQKBManifestationID)11244309 035 $a(PQKBTitleCode)TC0000316936 035 $a(PQKBWorkID)10287724 035 $a(PQKB)11662233 035 $a(DE-He213)978-3-540-75538-8 035 $a(MiAaPQ)EBC3063039 035 $a(MiAaPQ)EBC6511660 035 $a(Au-PeEL)EBL6511660 035 $a(OCoLC)175296719 035 $a(PPN)123728606 035 $a(EXLCZ)991000000000490447 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputers and Games$b[electronic resource] $e5th International Conference, CG 2006, Turin, Italy, May 29-31, 2006, Revised Papers /$fedited by H. Jaap van den Herik, Paolo Ciancarini, H. (Jeroen) H.L. Donkers 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XII, 283 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4630 300 $aIncludes index. 311 $a3-540-75537-3 320 $aIncludes bibliographical references and index. 327 $aComputer Analysis of Chess Champions -- Automated Chess Tutor -- A New Heuristic Search Algorithm for Capturing Problems in Go -- An Open Boundary Safety-of-Territory Solver for the Game of Go -- Monte-Carlo Proof-Number Search for Computer Go -- Virtual Global Search: Application to 9×9 Go -- Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search -- Combinatorics of Go -- Abstracting Knowledge from Annotated Chinese-Chess Game Records -- Automatic Strategy Verification for Hex -- Feature Construction for Reinforcement Learning in Hearts -- A Skat Player Based on Monte-Carlo Simulation -- A Retrograde Approximation Algorithm for One-Player Can?t Stop -- Improving Depth-First PN-Search: 1?+?? Trick -- Search Versus Knowledge Revisited Again -- Counting the Number of Three-Player Partizan Cold Games -- LUMINES Strategies -- Computing Proper Equilibria of Zero-Sum Games -- Comparative Study of Approximate Strategies for Playing Sum Games Based on Subgame Types -- On the Symbolic Computation of the Hardest Configurations of the RUSH HOUR Game -- Cheat-Proof Serverless Network Games -- Monte-Carlo Methods in Pool Strategy Game Trees -- Optimization of a Billiard Player ? Tactical Play -- Gender and Cultural Differences (If Any!): South African School Children and Computer Games. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4630 606 $aComputer science 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aNumerical analysis 606 $aMathematical statistics 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputer Science 606 $aDiscrete Mathematics in Computer Science 606 $aNumerical Analysis 606 $aProbability and Statistics in Computer Science 606 $aArtificial Intelligence 606 $aAlgorithms 615 0$aComputer science. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 0$aNumerical analysis. 615 0$aMathematical statistics. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 14$aComputer Science. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aNumerical Analysis. 615 24$aProbability and Statistics in Computer Science. 615 24$aArtificial Intelligence. 615 24$aAlgorithms. 676 $a794.81526 702 $aCiancarini$b Paolo$f1959- 702 $aDonkers$b H. H. L. M. 702 $aHerik$b H. J. van den$g(Hendrik Jacob), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465993603316 996 $aComputers and Games$9772747 997 $aUNISA