Latent scope bias in categorization
نویسندگان
چکیده
منابع مشابه
Latent Scope Bias in Categorization
In naturalistic settings, it is sometimes ambiguous whether or not a particular exemplar exhibits various properties indicative of category membership. We show that individuals prefer to group exemplars into categories that have a narrower latent scope – categories that specify fewer unobserved features – to those with a broader scope. In Experiment 1, participants classified suspects with fewe...
متن کاملProbabilistic Versus Heuristic Accounts of Explanation in Children: Evidence from a Latent Scope Bias
Like scientists, children must find ways to explain causal systems in the world. The Bayesian approach to cognitive development holds that children evaluate explanations by applying a normative set of statistical learning and hypothesis-testing mechanisms to the evidence they observe. Here, we argue for certain supplements to this approach. In particular, we demonstrate in two studies that chil...
متن کاملInferred Evidence in Latent Scope Explanations
Explanations frequently lead to predictions that we do not have the time or resources to fully assess or test, yet we must often decide between potential explanations with incomplete evidence. Previous research has documented a latent scope bias, wherein explanations consistent with fewer predictions of unknown truth are preferred to those consistent with more such predictions. In the present s...
متن کاملDocument Categorization Using Latent Semantic Indexing
................................................................................................................................................. 3 Foreword by Andrew Sieja, kCura .................................................................................................. 4 How LSI Works .........................................................................................................
متن کاملLatent Mixture Vocabularies for Object Categorization
The visual vocabulary is an intermediate level representation which has been proven to be very powerful for addressing object categorization problems. It is generally built by vector quantizing a set of local image descriptors, independently of the object model used for categorizing images. We propose here to embed the visual vocabulary creation within the object model construction, allowing to...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Experimental Social Psychology
سال: 2014
ISSN: 0022-1031
DOI: 10.1016/j.jesp.2013.11.010