𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Error feedback and the acquisition of geographical representations

✍ Scribed by Francisco J. Guzmán-Muñoz; Addie Johnson

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
224 KB
Volume
22
Category
Article
ISSN
0888-4080

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Three training conditions were compared in a task of learning locations of cities on a map: One in which participants could avoid errors by searching for the name of the correct city, and two others in which either immediate feedback after each response or delayed feedback after all responses had been made was given. Learners who received feedback only after placing all the cities on the map performed more poorly overall during training but outperformed the other two groups in both immediate and delayed tests. This advantage is interpreted as evidence of differential development of relational knowledge and application of cognitive effort across training conditions. Copyright © 2007 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

Analytical study of an error envelope fe
Analytical study of an error envelope feedback linearizer
✍ Giuseppe Macchiarella; Norman Carpenzano; Andrea Meazza 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 614 KB

An error envelope feedback linearizer (EEFL) employs the complex envelope of the distortion generated by the power amplifier (PA) as a feedback to control the envelope of the PA input signal; in this way, a sort of predistortion is realized, allowing the reduction of the intermodulation distortion (

Feedback representations of critical con
Feedback representations of critical controls for well-posed linear systems
✍ Olof J. Staffans 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 223 KB 👁 2 views

This is the first part in a three part study of the suboptimal full information H problem for a well-posed linear system with input space º, state space H, and output space ½. We define a cost function Q(x , u)" R> 1y(s), Jy(s)2 7 ds, where y3¸ (R>; ½) is the output of the system with initial state

Mean-Absolute-Error Representation and O
Mean-Absolute-Error Representation and Optimization of Computational-Morphological Filters
✍ R.P. Loce; E.R. Dougherty 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 811 KB

Computational mathematical morphology provides a framework for analysis and representation of range-preserving, finite-range operators in the context of mathematical morphology. As such, it provides a framework for statistically optimal design in the framework of a Matheron-type representation; that