Adults are extremely adept at recognizing social cues, such as eye direction or pointing gestures, that establish the basis of joint attention. These skills serve as the developmental basis for more complex forms of metaphor and analogy by allowing an infant to ground shared experiences and by assisting in the development of more complex communication skills. In this chapter, we review some of ...

Learning policies for complex tasks that require multiple different skills is a major challenge in reinforcement learning (RL). It is also a requirement for its deployment in real-world scenarios. This paper proposes a novel framework for efficient multi-task reinforcement learning. Our framework trains agents to employ hierarchical policies that decide when to use a previously learned policy a...

The transition from an oil-based to a knowledge-based economy requires that the Saudi population dramatically increases its level of human capital. This paper argues that noncognitive skills may be a bottleneck in the formation of human capital and proposes a policy to indirectly strengthen those skills. The core of the proposal is a government-financed gift to each Saudi citizen reaching adult...

Learning policies for complex tasks that require multiple different skills is a major challenge in reinforcement learning (RL). It is also a requirement for its deployment in real-world scenarios. This paper proposes a novel framework for efficient multi-task reinforcement learning. Our framework trains agents to employ hierarchical policies that decide when to use a previously learned policy a...

The paper discusses new developments of the data fusion paradigm presented in [3], [4]. A bank of Kalman filters is analyzed in the fusion process. Experiments for a robotic compliant motion task (pegin-hole) emerged from human skills are reported. Stereo vision and pose sense are fused to execute the task. Feedforward artificial neural networks (ANNs) are trained to transfer human skills to ro...

A new model of human control skills is proposed and empirically evaluated. It is called the incremental correction model and is more adequate for reverse engineering human control skills than any other previously proposed models. The experimental results show a considerable increase in robustness of the controllers that use the new model. The new model also attenuates the problem of unbalanced ...

We present a computational model of movement skill learning. The types of skills addressed are a class of trajectory following movements involving multiple accelerations , decelerations and changes in direction and lasting more than a few seconds. These skills are acquired through observation and improved through practice. We also review the speed-accuracy tradeoo|one of the most robust phenome...

Active investigative student-directed experiences in laboratory science are being encouraged by national science organizations. A growing body of evidence from classroom assessment supports their effectiveness. This study describes four years of implementation and assessment of an investigative laboratory course in human physiology for 65 second-year students in sports medicine and biology at a...

Even reaching the so-called 'ordinary' poor would entail challenges of electrical power, telecommunications connectivity, human resources infrastructure, and the like. Reaching the 'poorest' would be even more difficult due to wider gaps in those parameters just mentioned (DotForce, 2001). But, in addition, there would be the parameter of limitations in the human skill competencies of this targ...