LEADER 04558nam 22006015 450 001 996465495503316 005 20200629121422.0 010 $a3-540-47339-4 024 7 $a10.1007/3-540-56004-1 035 $a(CKB)1000000000233877 035 $a(SSID)ssj0000321246 035 $a(PQKBManifestationID)11283920 035 $a(PQKBTitleCode)TC0000321246 035 $a(PQKBWorkID)10263058 035 $a(PQKB)10924883 035 $a(DE-He213)978-3-540-47339-8 035 $a(PPN)15521649X 035 $a(EXLCZ)991000000000233877 100 $a20121227d1992 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAnalogical and Inductive Inference$b[electronic resource] $eInternational Workshop AII '92, Dagstuhl Castle, Germany, October 5-9, 1992. Proceedings /$fedited by Klaus P. Jantke 205 $a1st ed. 1992. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1992. 215 $a1 online resource (X, 326 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v642 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-56004-1 327 $aRepresenting the spatial/kinematic domain and lattice computers -- A solution of the credit assignment problem in the case of learning rectangles -- Learning decision strategies with genetic algorithms -- Background knowledge and declarative bias in inductive concept learning -- Too much information can be too much for learning efficiently -- Some experiments with a learning procedure -- Unions of identifiable classes of total recursive functions -- Learning from multiple sources of inaccurate data -- Strong separation of learning classes -- Desiderata for generalization-to-N algorithms -- The power of probabilism in Popperian FINite learning -- An analysis of various forms of ?jumping to conclusions? -- An inductive inference approach to classification -- Asking questions versus verifiability -- Predictive analogy and cognition -- Learning a class of regular expressions via restricted subset queries -- A unifying approach to monotonic language learning on informant -- Characterization of finite identification -- A model of the ?redescription? process in the context of geometric proportional analogy problems -- Inductive strengthening: The effects of a simple heuristic for restricting hypothesis space search -- On identifying DNA splicing systems from examples. 330 $aThis volume contains the text of the five invited papers and 16 selected contributions presented at the third International Workshop on Analogical and Inductive Inference, AII `92, held in Dagstuhl Castle, Germany, October 5-9, 1992. Like the two previous events, AII '92 was intended to bring together representatives from several research communities, in particular, from theoretical computer science, artificial intelligence, and from cognitive sciences. The papers contained in this volume constitute a state-of-the-art report on formal approaches to algorithmic learning, particularly emphasizing aspects of analogical reasoning and inductive inference. Both these areas are currently attracting strong interest: analogical reasoning plays a crucial role in the booming field of case-based reasoning, and, in the fieldof inductive logic programming, there have recently been developed a number of new techniques for inductive inference. 410 0$aLecture Notes in Artificial Intelligence ;$v642 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aComputer programming 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aComputer programming. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aProgramming Techniques. 676 $a006.3 702 $aJantke$b Klaus P$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop AII '92 906 $aBOOK 912 $a996465495503316 996 $aAnalogical and Inductive Inference$92829764 997 $aUNISA