Students' beliefs and goals can powerfully influence their learning success. Those who believe intelligence is a fixed entity (entity theorists) tend to emphasize 'performance goals,' leaving them vulnerable to negative feedback and likely to disengage from challenging learning opportunities. In contrast, students who believe intelligence is malleable (incremental theorists) tend to emphasize '...

The speed, accuracy, and adaptability of human movement depends on the brain performing an inverse kinematics transformation — that is, a transformation from visual to joint angle coordinates — based on learning from experience. In human motion control, it is important to learn a feedback controller for the hand position error in the human inverse kinematics solver. This paper proposes a novel ...

The work is concerned with the integrated dynamic control of humanoid locomotion mechanisms based on the spatial dynamic model of humanoid mechanism. The control scheme was synthesized using the centralized model with proposed structure of dynamic controller that involves two feedback loops: position-velocity feedback of the robotic mechanism joints and reinforcement learning feedback around Ze...

The integrated dynamic control of humanoid locomotion mechanisms based on the spatial dynamic model of humanoid mechanism is presented in this paper. The control scheme was synthesized using the centralized model with proposed structure of dynamic controller that involves two feedback loops: position-velocity feedback of the robotic mechanism joints and reinforcement learning feedback around Ze...

The role of feedback in perceptual learning is probed in an orientation discrimination experiment under destabilizing non-stationary conditions, and explored in a neural-network model. Experimentally, perceptual learning was examined with periodic alteration of a strong external noise context. The speed of learning, the performance loss at each change in external noise context (switch cost), an...

Motor error evaluation appears to be a hierarchically organized process subserved by 2 distinct systems: a higher level system within medial-frontal cortex responsible for movement outcome evaluation (high-level error evaluation) and a lower level posterior system(s) responsible for the mediation of within-movement errors (low-level error evaluation). While a growing body of evidence suggests t...

In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking error norms are derived. By using the Markov parameters, it is shown in the time-domain that there exists a non-increasing function such that when the properly chosen constant learning gain is multiplied by this function, the convergence of the tracking error...

The evidence is now good that different memory systems mediate the learning of different types of category structures. In particular, declarative memory dominates rule-based (RB) category learning and procedural memory dominates information-integration (II) category learning. For example, several studies have reported that feedback timing is critical for II category learning, but not for RB cat...