LEADER 00895nam0-22003251i-450- 001 990006630560403321 005 20060203132306.0 010 $a88-7835-041-9 035 $a000663056 035 $aFED01000663056 035 $a(Aleph)000663056FED01 035 $a000663056 100 $a20010426d1990----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aGRANDI Banche in Europa$eproblemi e prospettive$fA cura di Adriano Giannola 210 $aNapoli$cGuida$dc 1990 215 $a274 p.$d24 cm 702 1$aGiannola,$bAdriano$f<1943- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006630560403321 952 $aVI M 47$bINV.N.13988$fFSPBC 952 $aVI M 48$bINV.N.13989$fFSPBC 952 $aG2.16$b2199$fDECTS 959 $aDECTS 959 $aFSPBC 996 $aGrandi banche in Europa$956081 997 $aUNINA LEADER 01032cam0-22003611i-450 001 990006665260403321 005 20221028105804.0 035 $a000666526 035 $aFED01000666526 035 $a(Aleph)000666526FED01 100 $a20010426d1979----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aEconomia monetaria$fDavid G. Pierce, David M. Shaw 210 $aBologna$cIl Mulino$d1979 215 $a546 p.$d21 cm 225 1 $aCollezione di testi e di studi$iEconomia$v8 676 $a332.4$v23$zita 700 1$aPierce,$bDavid G.$0114562 701 1$aShaw,$bDavid M.$0113143 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006665260403321 952 $aVI C 67$b25912$fFSPBC 952 $aSE 089.05.20-$b4462$fDECSE 952 $aXV C 218 (8)$b19541*$fFGBC 952 $aXV M1 11$b111204$fFGBC 959 $aFSPBC 959 $aDECSE 959 $aFGBC 996 $aMonetary economics. Theories, evidence and policy$914231 997 $aUNINA LEADER 04915nam 2200445z- 450 001 9910220058203321 005 20210211 035 $a(CKB)3800000000216196 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49598 035 $a(oapen)doab49598 035 $a(EXLCZ)993800000000216196 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHow Humans Recognize Objects: Segmentation, Categorization and Individual Identification 210 $cFrontiers Media SA$d2016 215 $a1 online resource (265 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-940-1 330 $aHuman beings experience a world of objects: bounded entities that occupy space and persist through time. Our actions are directed toward objects, and our language describes objects. We categorize objects into kinds that have different typical properties and behaviors. We regard some kinds of objects - each other, for example - as animate agents capable of independent experience and action, while we regard other kinds of objects as inert. We re-identify objects, immediately and without conscious deliberation, after days or even years of non-observation, and often following changes in the features, locations, or contexts of the objects being re-identified. Comparative, developmental and adult observations using a variety of approaches and methods have yielded a detailed understanding of object detection and recognition by the visual system and an advancing understanding of haptic and auditory information processing. Many fundamental questions, however, remain unanswered. What, for example, physically constitutes an "object"? How do specific, classically-characterizable object boundaries emerge from the physical dynamics described by quantum theory, and can this emergence process be described independently of any assumptions regarding the perceptual capabilities of observers? How are visual motion and feature information combined to create object information? How are the object trajectories that indicate persistence to human observers implemented, and how are these trajectory representations bound to feature representations? How, for example, are point-light walkers recognized as single objects? How are conflicts between trajectory-driven and feature-driven identifications of objects resolved, for example in multiple-object tracking situations? Are there separate "what" and "where" processing streams for haptic and auditory perception? Are there haptic and/or auditory equivalents of the visual object file? Are there equivalents of the visual object token? How are object-identification conflicts between different perceptual systems resolved? Is the common assumption that "persistent object" is a fundamental innate category justified? How does the ability to identify and categorize objects relate to the ability to name and describe them using language? How are features that an individual object had in the past but does not have currently represented? How are categorical constraints on how objects move or act represented, and how do such constraints influence categorization and the re-identification of individuals? How do human beings re-identify objects, including each other, as persistent individuals across changes in location, context and features, even after gaps in observation lasting months or years? How do human capabilities for object categorization and re-identification over time relate to those of other species, and how do human infants develop these capabilities? What can modeling approaches such as cognitive robotics tell us about the answers to these questions? Primary research reports, reviews, and hypothesis and theory papers addressing questions relevant to the understanding of perceptual object segmentation, categorization and individual identification at any scale and from any experimental or modeling perspective are solicited for this Research Topic. Papers that review particular sets of issues from multiple disciplinary perspectives or that advance integrative hypotheses or models that take data from multiple experimental approaches into account are especially encouraged. 517 $aHow Humans Recognize Objects 606 $aPsychology$2bicssc 610 $abinding 610 $aComparative Neuroscience 610 $aComputational modelling 610 $aconcepts 610 $aDevelopmental Neuroscience 610 $amulti-sensory integration 610 $aPerception 610 $aTouch 610 $aVision 615 7$aPsychology 700 $aChris Fields$4auth$01331051 906 $aBOOK 912 $a9910220058203321 996 $aHow Humans Recognize Objects: Segmentation, Categorization and Individual Identification$93040076 997 $aUNINA