The paper illustrates how autonomous learning as a concept guides the production of the English Self-Learning Packages (ESLPs) for New Ar rival Children (NAC) It also documents the children's reactions towards this mode of learning, in particular, how they react to the process of improving their English standard by engaging themselves in a self-study mode The production of the packages was fund...

In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior lear...

Humans and other animals often engage in activities for their own sakes rather than as steps toward solving practical problems. Psychologists call these intrinsically motivated behaviors. What we learn during intrinsically motivated behavior is essential for our development as competent autonomous entities able to efficiently solve a wide range of practical problems as they arise. In this paper...

E-learners require activities and content based on their preferences and prior knowledge, not merely fully static, page-turning sequences. In this paper we present a framework that integrates and supports two approaches towards adaptation to the learner needs – design and runtime adaptation. The framework is based on IMS Learning Design (IMS LD). IMS LD offers a semantic notation to describe an...

Capabilities of domestic service robots could be further improved, if the robot is equipped with an ability to recognize activities performed by humans in its sensory range. For example in a simple scenario a floor cleaning robot can vacuum the kitchen floor after recognizing human activity “cooking in the kitchen”. Most of the complex human activities can be sub divided into simple activities ...

Helicopters have highly stochastic, nonlinear, dynamics, and autonomous helicopter flight is widely regarded to be a challenging control problem. As helicopters are highly unstable at low speeds, it is particularly difficult to design controllers for low speed aerobatic maneuvers. In this paper, we describe a successful application of reinforcement learning to designing a controller for sustain...

PAGODA (Probabilistic Autonomous GOalDirected Agent) is an autonomous intelligent agent that explores a novel environment, building a model of the world and using the model to plan its actions [desJardins, 1992b]. PAGODA incorporates solutions to the problems of selecting learning tasks, choosing a learning bias, classifying observations, and performing induetire learning of world models under ...

Interactive whiteboards (IWBs) are usually used by teachers for whole-class teaching. This paper is based upon an ESRC-funded project in which pupils used the IWB in a semi-autonomous manner when working together on science-related activities designed by the teacher. Using an analysis of video and other data from lessons in UK Year 4 and Year 5 primary classrooms (pupils aged 8-10 years), it fo...

The rapid development of digital technologies and the internet has redefined access to language resources approaches learning. High school students are experiencing more digitalized learning activities, which influences their independent mode. In Autonomous Learning Digital Literacy, rare research been done examine relationship between two. Drawn from responses 224 high questionnaires, this stu...

A novel integrative learning architecture, RLSM with a STDP network is described. This architecture models symbol emergence in an autonomous agent engaged in reinforcement learning tasks. The architecture consists of two constitutional learning architectures: a reinforcement learning schema model (RLSM) and a spike timing-dependent plasticity (STDP) network. RLSM is an incremental modular reinf...