Judging the Probability of Representative and Unrepresentative Unpackings

نویسندگان

  • Constantinos Hadjichristidis
  • Steven A. Sloman
  • Edward J. Wisniewski
چکیده

The hypothesis that category descriptions are interpreted narrowly, in terms of representative instances, is examined by comparing probability judgments for packed descriptions of events to judgments for coextensional unpacked descriptions. The representativeness of the unpacked instance was varied along with the type of unpacking (direct vs. priming). In contrast to the prediction of Support Theory (Tversky & Koehler, 1994), we found no evidence that unpacking has a nonnegative effect on probability judgments (subadditivity). Instead, we found a negative effect with low representative direct unpackings (superadditivity). Our data suggest that probability judgments are proportional to the typicality of instances in the description.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Effect of Tuned Mass Damper on Seismic Response of Building Frames with Uncertain Structural Characteristics

Tuned mass dampers (TMDs) could be used to absorb the input energy of the applied load, and reduce the response of the building frames. However, the effectiveness of TMD in reducing the response of the building frames could be affected by inherited uncertainties in the structural characteristics of the frames. In this study, in order to investigate the probabilistic response of steel moment-res...

متن کامل

Learning with Refutation

In their pioneering work, Mukouchi and Arikawa modeled a learning situation in which the learner is expected to refute texts which are not representative of L, the class of languages being identified. Lange and Watson extended this model to consider justified refutation in which the learner is expected to refute texts only if it contains a finite sample unrepresentative of the class L. Both the...

متن کامل

11-month-old Infants Infer a Physical Constraint from a Probabilistic Anomaly

Abstract: Infants can make probabilistic inferences, inferring the composition of a sample from a population. Preschoolers and toddlers will infer a constraint on a sampling process when samples are unrepresentative of populations. In the present experiment, we asked whether 11-month-olds can use probability information to infer a physical constraint on object movement in a looking-time experim...

متن کامل

Assessing the Effective Factors on JudgingArchitectural Design Projects of UniversityStudents

Since nature of architecture is quite different from that of other fields of study, the criteria used forjudging projects in this field continuously undergo some changes. On the other hand, because of the undeniable role ofhuman factors in judging the projects, there is always a percentage of deviation from the standard given the interestsof the judging committee. The standards of judging archi...

متن کامل

Hierarchical Alpha-cut Fuzzy C-means, Fuzzy ARTMAP and Cox Regression Model for Customer Churn Prediction

As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001