The book is about designing and building learning autonomous robots. An autonomous robot is a remarkable example of a device that is difficult to design and program, because it must carry out its task in a partially unknown and unpredictable environment, with which it interacts through noisy sensors and actuators. There is a fairly widespread opinion that a good way of coping with this situatio...

This paper focuses on the application of BP neural network, taking an evaluation system of English autonomous learning ability as an example. Based on the full analysis the inscape of the system, the recorded data that is related with Web server log in a process of students' online learning has been collected and analyzed by using data mining technology. With BP neural network pattern, an evalu...

Learning from human behaviors in the real world is important for building human-aware intelligent systems such as personalized digital assistants and autonomous humanoid robots. Everyday activities of human life can now be measured through wearable sensors. However, innovations are required to learn these sensory data in an online incremental manner over an extended period of time. Here we prop...

Imitative learning has recently piqued the interest of various fields including neuroscience, cognitive science and robotics. In computational behavior modeling and development, it promises an accessible framework for rapidly forming behavior models without tedious supervision or reinforcement. Given the availability of lowcost wearable sensors, the robustness of real-time perception algorithms...

Abstract This chapter provides an overview of different conceptualizations student engagement with mathematical ideas in studies that occur mathematics classrooms and teaching experiment environments, the types quality learning activities result desired outcomes. Over last three decades, curriculum initiatives have called for development behaviors dispositions (i.e., competencies, processes, pr...