LEADER 00851nam0-22003011i-450- 001 990004882900403321 005 20131205180859.0 035 $a000488290 035 $aFED01000488290 035 $a(Aleph)000488290FED01 035 $a000488290 100 $a19990604d1957----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $af-------001yy 200 1 $aCanti popolari del Piemonte$fCostantino Nigra 210 $aTorino$cEinaudi$d1957 215 $aLXXIV, 763 p., [1] tav.$cill.$d23 cm 610 0 $aCanti popolari$aPiemonte 676 $a398.8$v21$zita 700 1$aNigra,$bCostantino$f<1828-1907>$0191777 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004882900403321 952 $a398.8 NIG 1$bFil. Mod. 4964$fFLFBC 959 $aFLFBC 996 $aCanti popolari del Piemonte$974931 997 $aUNINA LEADER 01570nam 2200433 450 001 9910809548903321 005 20230630000427.0 010 $a1-78406-695-8 035 $a(CKB)4100000011773670 035 $a(MiAaPQ)EBC6482840 035 $a(Au-PeEL)EBL6482840 035 $a(OCoLC)1239987159 035 $a(EXLCZ)994100000011773670 100 $a20220528d2021 uy 0 101 0 $afre 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aL'affectif et les valeurs dans les choix d'investissement en equity crowdfunding$h1$iApproche the?orique transdisciplinaire /$fChristian Goglin 210 1$aLondon, England :$cISTE Editions Ltd.,$d[2021] 210 4$d©2021 215 $a1 online resource (198 pages) 225 1 $aCollection innovation, entrepreneuriat et gestion 311 $a1-78405-695-2 320 $aIncludes bibliographical references and index. 327 $aFront cover -- Table des matie?res -- Remerciements -- Introduction -- Chapitre 1 -- Chapitre 2 -- Bibliographie -- Index -- Sommaire -- Back cover. 410 0$aCollection innovation, entrepreneuriat et gestion. 606 $aCapital investments 615 0$aCapital investments. 676 $a658.152 700 $aGoglin$b Christian$01137052 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910809548903321 996 $aL'affectif et les valeurs dans les choix d'investissement en equity crowdfunding$94089795 997 $aUNINA LEADER 04714nam 22006975 450 001 9910484125803321 005 20251226195926.0 024 7 $a10.1007/b107184 035 $a(CKB)1000000000212898 035 $a(SSID)ssj0000316974 035 $a(PQKBManifestationID)11237053 035 $a(PQKBTitleCode)TC0000316974 035 $a(PQKBWorkID)10287822 035 $a(PQKB)11229400 035 $a(DE-He213)978-3-540-32235-1 035 $a(MiAaPQ)EBC4976816 035 $a(MiAaPQ)EBC6700585 035 $a(Au-PeEL)EBL4976816 035 $a(CaONFJC)MIL140249 035 $a(OCoLC)1024281024 035 $a(Au-PeEL)EBL6700585 035 $a(PPN)123093317 035 $a(MiAaPQ)EBC5585461 035 $a(EXLCZ)991000000000212898 100 $a20100715d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aConditionals, Information, and Inference $eInternational Workshop, WCII 2002, Hagen, Germany, May 13-15, 2002, Revised Selected Papers /$fedited by Gabriele Kern-Isberner, Wilhelm Rödder, Friedhelm Kulmann 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XII, 219 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3301 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-32235-3 311 08$a3-540-25332-7 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- What Is at Stake in the Controversy over Conditionals -- Reflections on Logic and Probability in the Context of Conditionals -- Acceptance, Conditionals, and Belief Revision -- Regular Papers -- Getting the Point of Conditionals: An Argumentative Approach to the Psychological Interpretation of Conditional Premises -- Projective Default Epistemology -- On the Logic of Iterated Non-prioritised Revision -- Assertions, Conditionals, and Defaults -- A Maple Package for Conditional Event Algebras -- Conditional Independences in Gaussian Vectors and Rings of Polynomials -- Looking at Probabilistic Conditionals from an Institutional Point of View -- There Is a Reason for Everything (Probably): On the Application of Maxent to Induction -- Completing Incomplete Bayesian Networks. 330 $aConditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false ? rather, a conditional ?if A then B? provides a context, A, for B to be plausible (or true) and must not be confused with ?A entails B? or with the material implication ?not A or B.? This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle?generalizedrules.?Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3301 606 $aArtificial intelligence 606 $aMachine theory 606 $aArtificial Intelligence 606 $aFormal Languages and Automata Theory 615 0$aArtificial intelligence. 615 0$aMachine theory. 615 14$aArtificial Intelligence. 615 24$aFormal Languages and Automata Theory. 676 $a511.352 702 $aRo?dder$b Wilhelm 702 $aKern-Isberner$b Gabriele$f1956- 702 $aKulmann$b Friedhelm 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484125803321 996 $aConditionals, Information, and Inference$9772476 997 $aUNINA