LEADER 03962nam 22005535 450 001 9910767528003321 005 20251117073004.0 010 $a9783540697800 010 $a3540697802 024 7 $a10.1007/3-540-64413-X 035 $a(CKB)1000000000548847 035 $a(SSID)ssj0000324343 035 $a(PQKBManifestationID)11255482 035 $a(PQKBTitleCode)TC0000324343 035 $a(PQKBWorkID)10304924 035 $a(PQKB)10742131 035 $a(DE-He213)978-3-540-69780-0 035 $a(PPN)155169696 035 $a(EXLCZ)991000000000548847 100 $a20121227d1998 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLearning and Reasoning with Complex Representations $ePRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26-30, 1996, Selected Papers /$fedited by Grigoris Antoniou, Aditya K. Ghose, Miroslaw Truszczynski 205 $a1st ed. 1998. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1998. 215 $a1 online resource (XII, 288 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1359 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783540644132 311 08$a354064413X 327 $aInductive constraint logic programming: An overview -- Some approaches to reasoning with incomplete and changing information -- Curried least general generalization: A framework for higher order concept learning -- Approximate validity -- Inductive theories from equational systems -- The role of default representations in incremental learning -- Learning stable concepts in a changing world -- Inducing complex spatial descriptions in two dimensional scenes -- A framework for learning constraints: Preliminary report -- Induction of constraint logic programs -- Belief network algorithms: A study of performance based on domain characterisation -- A Group Decision and Negotiation Support System for argumentation based reasoning -- From belief revision to design revision: Applying theory change to changing requirements -- Using histories to model observations in theories of action -- Modelling inertia in action languages -- Combinatorial interpretation of uncertainty and conditioning -- Probabilistic diagnosis as an update problem -- Cooperative combination of default logic and autoepistemic logic. 330 $aThis book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996. The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis. 410 0$aLecture Notes in Artificial Intelligence ;$v1359 606 $aArtificial intelligence 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a003/.54 702 $aAntoniou$b G$g(Grigoris),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGhose$b Aditya K.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTruszczyn?ski$b Miros?aw$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aWorkshop on Reasoning with Incomplete and Changing Information 906 $aBOOK 912 $a9910767528003321 996 $aLearning and Reasoning with Complex Representations$91961498 997 $aUNINA