1 Information Processing and Intelligence Where We Are and Where We Are Going

نویسنده

  • Earl Hunt
چکیده

Intelligence tests are about one hundred years old. If you agree with Boring (1923) that intelligence is what the intelligence tests measure, then the science of intelligence is one hundred years old. I will call this psychometrically defined intelligence. Empirically the study of psychometric intelligence is a booming field, for it has led to a very large literature, impressive technological developments, and coherent relationships among test scores (Carroll, 1993). However, it has a weakness. A purely psychometric approach to intelligence lets the technology of measurement define the concept, rather than the concept defining an appropriate measurement technology. Along with many others, I prefer a more conceptual, less boring approach. The conceptual definition of intelligence as individual variation in mental competence has a longer history. In the sixteenth century the Spanish philosopher Juan Huarte de San Juan (Huarte, 1575/1991) proposed a multifaceted theory of intelligence that wasnot too far fromtoday’s crystallized–fluiddistinction. In thenineteenth century, Galton (1883) used laboratory techniques for measuring individual differences in basic mental processes that are recognizable ancestors of paradigms used in today’s laboratories. And for that matter, Binet, the founderofmodern testing,wasnot entirely atheoretic (Sternberg, 1990).All interesting theories of intelligence try to go beyond test scores to connect individual differences with a theory of how the mind works. Developing such a theory is the province of cognitive psychology. Nevertheless, for the first seventy or so years of the twentieth century intelligence testing and cognitive psychology followed paths that, if not orthogonal, were not closer than 60 degrees to each other. At mid-century Cronbach (1957) called for a reorientation. Psychometricians and cognitive psychologists agreed, but, like supertankers turning, it took about twenty years to see either discipline change its course.

برای دانلود رایگان 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

I-36: Preimplantation Genetic Diagnosis - Where Have We Been and Where Are We Going

Preimplantation genetic diagnosis (PGD) is now considered routine in IVF laboratories with micromanipulation capability and access to genetic diagnostic services. The past two decades have witnessed a dramatic increase in the use of PGD, the number of cycles performed, and the indications for which PGD has been used. This increase has been mirrored by a slow, but steady, increase in the range o...

متن کامل

Reflection for the undergraduate on writing in the portfolio: where are we now and where are we going?

Introduction: The portfolio can be seen as a tool for assessmentof a variety of learning activities that differ in content, usage, andassessment. The portfolio not only meets the learner’s educationalneeds but also the political and public reassurance demand thatthe health professional has achieved the required competency ofthe curriculum that allows him or her to practice safely with orwithout...

متن کامل

Image Classification via Sparse Representation and Subspace Alignment

Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

متن کامل

Extended and infinite ordered weighted averaging and sum operators with numerical examples

This study discusses some variants of Ordered WeightedAveraging (OWA) operators and related information aggregation methods. Indetail, we define the Extended Ordered Weighted Sum (EOWS) operator and theExtended Ordered Weighted Averaging (EOWA) operator, which are applied inscientometrics evaluation where the preference is over finitely manyrepresentative works. As...

متن کامل

Composite Kernel Optimization in Semi-Supervised Metric

Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared with traditional metrics. This has recently stimulated a considerable interest in the to...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010