EMERGENT IDENTITY MATCHING AFTER SUCCESSIVE MATCHING TRAINING, I: REFLEXIVITY OR GENERALIZED IDENTITY?
نویسندگان
چکیده
منابع مشابه
Emergent identity matching after successive matching training, I: reflexivity or generalized identity.
This research investigated the source of an ostensible reflexivity effect in pigeons reported by Sweeney and Urcuioli (2010). In Experiment 1, pigeons learned two symmetrically reinforced symbolic successive matching tasks (hue-form and form-hue) using red-green and triangle-horizontal line stimuli. They differed in their third concurrently trained baseline task: form-form matching with stimuli...
متن کاملEmergent identity matching after successive matching training. II: Reflexivity or transitivity.
Three experiments evaluated whether the apparent reflexivity effect reported by Sweeney and Urcuioli (2010) for pigeons might, in fact, be transitivity. In Experiment 1, pigeons learned symmetrically reinforced hue-form (A-B) and form-hue (B-A) successive matching. Those also trained on form-form (B-B) matching responded more to hue comparisons that matched their preceding samples on subsequent...
متن کاملConcurrent identity training is not necessary for associative symmetry in successive matching.
Pigeons demonstrate associative symmetry after successive matching training on one arbitrary and two identity relations (e.g., Urcuioli, 2008). Here, we tested whether identity matching training is necessary for this emergent effect. In Experiment 1, one group of pigeons (Dual Oddity) learned hue-form arbitrary matching and two oddity relations which shared sample and comparison elements with t...
متن کاملIdentity Uncertainty and Citation Matching
Identity uncertainty is a pervasive problem in real-world data analysis. It arises whenever objects are not labeled with unique identifiers or when those identifiers may not be perceived perfectly. In such cases, two observations may or may not correspond to the same object. In this paper, we consider the problem in the context of citation matching—the problem of deciding which citations corres...
متن کاملLatent Identity Variables: Biometric Matching Without Explicit Identity Estimation
We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity “template”. The biometric data is considered to have been created by a noisy generative process. This process consists of (i) a deterministic component, which depends entirely on an underlying representation of identity and (ii) a stochastic component which accounts for...
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ژورنال
عنوان ژورنال: Journal of the Experimental Analysis of Behavior
سال: 2011
ISSN: 0022-5002
DOI: 10.1901/jeab.2011.96-329