We describe a four-week series of assignments in an undergraduate AI course at a liberal arts college developing a supervised learning solution to the problem of classifying Twitter accounts as either a person account or a non-person account (e.g. organization or spambot). This problem employs real data in an ongoing research project by the first author, yet is accessible to students with limit...

Reach-to-grasp movements require information about the distance and size of target objects. Calibration of this information could be achieved via feedback information (visual and/or haptic) regarding terminal accuracy when target objects are grasped. A number of reports suggest that the nervous system alters reach-to-grasp behavior following either a visual or haptic error signal indicating ina...

This paper represents a novel online self-learning disturbance observer (SLDO) by benefiting from the combination of a type-2 neuro-fuzzy structure (T2NFS), feedback-error learning scheme and sliding mode control (SMC) theory. The SLDO is developed within a framework of feedback-error learning scheme in which a conventional estimation law and a T2NFS work in parallel. In this scheme, the latter...

BACKGROUND The chronic use of cannabis has been associated with error processing dysfunction, in particular, hypoactivity in the dorsal anterior cingulate cortex (dACC) during the processing of cognitive errors. Given the role of such activity in influencing post-error adaptive behaviour, we hypothesised that chronic cannabis users would have significantly poorer learning from errors. METHODS...

this study is an attempt tofind the effect of four types of feedback(direct,underline,code,translation)on the writing performance of iranian learners ofjapanese as a foreign language.in this research,we have tried to suggest new ways of correcting students’writing through giving different kinds of feedback in the process of learning to write.the study focused on the accuracy of using prepositio...

A high-order iterative learning controller (ILC), assisted by a feedback controller, is proposed for the tracking control of uncertain discrete-time nonlinear systems which perform a given task repeatedly. The uniform bounded-ness of the tracking error is obtained in the presence of bounded uncertainty, disturbance and the re-initialization error even without the assistance of the feedback cont...

Learning, according to Oxford Dictionary, is "to gain knowledge or skill by studying, from experience, from being taught, etc." In order to learn from experience, the central nervous system has to decide what action leads to what consequence, and temporal perception plays a critical role in determining the causality between actions and consequences. In motor adaptation, causality between action...

The goal of Iterative Learning Control ILC is to improve the accuracy of a system that repeatedly follows a reference trajectory This paper proves that for any causal ILC there is an equivalent feedback that achieves or approaches the ultimate ILC error with no iterations Remarkably this equivalent feedback depends only on the ILC operators and hence requires no plant knowledge This equivalence...

abstract the study aimed at investigating the efficacy of written corrective feedback (cf) in improving iranian efl learners’ grammatical accuracy. it compared the effects of focused and unfocused written cf on the learners’ grammatical accuracy. 75 efl students formed a one control and two experimental groups. the focused feedback group was provided with error correction in tenses. the unfocus...

This paper considers the modeling and compensator design for Self-ServoWriting (SSW) process in disk drives. An Iterative Learning Control (ILC) based scheme is established to deal with radial error propagation and improve the quality of written tracks. In the proposed scheme, a feedback controller for track following is first designed to achieve good disturbance attenuation. Then, an ILC struc...