LEADER 01118nam0-22003251i-450- 001 990006850080403321 005 20001010 010 $a88-204-9712-3 035 $a000685008 035 $aFED01000685008 035 $a(Aleph)000685008FED01 035 $a000685008 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aAPPLICAZIONE dei sistemi informativi geografici nella valutazione delle modificazioni ambientali e territoriali$fA cura di Giovanni Ballestra ... [e alri]. 210 $aMilano$cF. Angeli$dc 1996. 215 $a288 p.$d22 cm 225 1 $aCollana sistema agricolo italiano. Progetto finalizzato Raisa Cnr$v14 610 0 $aTerreno agrario - Archivi di dati 676 $a631.47 702 1$aBallestra,$bGiovanni 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006850080403321 952 $aCOLLEZ. 1672 (14)$b30556$fFSPBC 959 $aFSPBC 996 $aAPPLICAZIONE dei sistemi informativi geografici nella valutazione delle modificazioni ambientali e territoriali$9627191 997 $aUNINA DB $aGEN01 LEADER 00923cam0-22002891i-450 001 990004280630403321 005 20241203140025.0 035 $a000428063 035 $aFED01000428063 035 $a(Aleph)000428063FED01 035 $a000428063 100 $a19990604f1953----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aDai romantici a noi$edue lezioni di storia dell'estetica tenute alla Casa della Cultura di Milano il 29 gennaio e il 7 febbraio 1953$fGuido Morpurgo-Tagliabue 210 $aMilano$cMarzorati$d[1953?] 215 $a160 p.$d22 cm 700 1$aMorpurgo-Tagliabue,$bGuido$f<1917-1997>$010431 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004280630403321 952 $a111.85 MORG 002$bST.FIL.1717BIS$fFLFBC 952 $aP.1 E 55$bST.FIL.1717$fFLFBC 959 $aFLFBC 996 $aDai romantici a noi$9489260 997 $aUNINA LEADER 04783nam 22007815 450 001 9910728939503321 005 20250226160023.0 010 $a9783319655963$b(electronic bk.) 010 $z9783319655956 024 7 $a10.1007/978-3-319-65596-3 035 $a(MiAaPQ)EBC30555907 035 $a(Au-PeEL)EBL30555907 035 $a(OCoLC)1381095126 035 $a(DE-He213)978-3-319-65596-3 035 $a(BIP)060217650 035 $a(PPN)270616411 035 $a(CKB)26806715400041 035 $a(EXLCZ)9926806715400041 100 $a20230530d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithmic Intelligence $eTowards an Algorithmic Foundation for Artificial Intelligence /$fby Stefan Edelkamp 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (482 pages) 311 08$aPrint version: Edelkamp, Stefan Algorithmic Intelligence Cham : Springer International Publishing AG,c2023 9783319655956 327 $aPreface -- Towards a Characterization -- Part I, Basics -- 1. Programming Primer -- 2. Shortest Paths -- 3. Sorting -- 4. Deep Learning -- 5. Monte-Carlo Search -- Part II, Big Data -- 6. Graph data -- 7. Multimedia Data -- 8. Network Data -- 9. Image Data -- 10. Navigation Data -- Part III, Research Areas -- 11. Machine Learning -- 12. Problem Solving -- 13. Card Game Playing -- 14. Action Planning -- 15. General Game Playing -- 16. Multiagent Systems -- 17. Recommendation and Configuration Part IV, Applications -- 18. Adversarial Planning -- 19. Model Checking -- 20. Computational Biology -- 21. Logistics -- 22. Additive Manufacturing -- 23. Robot Motion Planning -- 24. Industrial Production -- 25. Further Application Areas. - Index and References. 330 $aIn this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search. A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data. The highly topical research areas detailed in Part III are machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. Finally, in Part IV the author uses application areas such as model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production to explain how the techniques described may be exploited in modern settings. The book is supported with a comprehensive index and references, and it will be of value to researchers, practitioners, and students in the areas of artificial intelligence and computational intelligence. 606 $aArtificial intelligence 606 $aData mining 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aBusiness information services 606 $aBusiness logistics 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aControl, Robotics, Automation 606 $aIT in Business 606 $aLogistics 606 $aIntel·ligència artificial$2thub 606 $aMatemàtica$2thub 608 $aLlibres electrònics$2thub 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aBusiness information services. 615 0$aBusiness logistics. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aControl, Robotics, Automation. 615 24$aIT in Business. 615 24$aLogistics. 615 7$aIntel·ligència artificial. 615 7$aMatemàtica 676 $a006.3 700 $aEdelkamp$b Stefan$0853901 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910728939503321 996 $aAlgorithmic Intelligence$93389825 997 $aUNINA